510 lines
19 KiB
Markdown
510 lines
19 KiB
Markdown
# GLM-5 vs Kimi K2.5 vs Codex 5.3 vs Claude Opus 4.6 vs Sonnet 4.6 vs MiniMax M2.5
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## Agentic Coding Model Comparison Report
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**Generated:** 2026-03-01
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**Models Compared:** 6
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## Executive Summary
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| Model | SWE-bench Est. | Input $/1M | Output $/1M | Context | Opus Replacement Score |
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|-------|----------------|------------|-------------|---------|------------------------|
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| GLM-5 | Not officially benchmarked on SWE-bench Verified as of March 2025 [uncertain] | $0.50 (API pricing via Zhipu AI platform) | $2.00 (API pricing via Zhipu AI platform) | 128K tokens | 5/10 |
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| Kimi K2.5 | ~48-52% on SWE-bench Verified (reported by community) [uncertain] | $2.00 (standard), $1.00 (batch) | $8.00 (standard), $4.00 (batch) | 256K tokens (up to 2M in beta for some use cases) | 8/10 |
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| Codex 5.3 | ~55-60% on SWE-bench Verified (estimated from early reports) [uncertain] | $3.00 (Codex specific API) | $12.00 (Codex specific API) | 128K tokens | 9/10 |
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| Claude Opus 4.6 | ~60-65% on SWE-bench Verified (state-of-the-art as of early 2025) [uncertain] | $5.00 | $15.00 | 200K tokens | 10/10 |
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| Claude Sonnet 4.6 | ~50-55% on SWE-bench Verified (estimated from comparisons) [uncertain] | $3.00 | $15.00 | 200K tokens | 9/10 |
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| MiniMax M2.5 | ~40-45% on SWE-bench Verified (estimated from early testing) [uncertain] | $0.50 | $2.00 | 100K tokens | 6/10 |
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## Table of Contents
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1. [GLM-5](#glm-5) - Replacement Score: 5/10 | Input: $0.50 (API pricing via Zhipu AI platform)
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2. [Kimi K2.5](#kimi-k2.5) - Replacement Score: 8/10 | Input: $2.00 (standard), $1.00 (batch)
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3. [Codex 5.3](#codex-5.3) - Replacement Score: 9/10 | Input: $3.00 (Codex specific API)
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4. [Claude Opus 4.6](#claude-opus-4.6) - Replacement Score: 10/10 | Input: $5.00
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5. [Claude Sonnet 4.6](#claude-sonnet-4.6) - Replacement Score: 9/10 | Input: $3.00
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6. [MiniMax M2.5](#minimax-m2.5) - Replacement Score: 6/10 | Input: $0.50
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## GLM-5
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### Performance Benchmarks
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**Swe Bench Verified Score:** Not officially benchmarked on SWE-bench Verified as of March 2025 [uncertain] [uncertain]
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**Swe Bench Full Score:** N/A [uncertain] [uncertain]
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**Swe Bench Lite Score:** N/A [uncertain] [uncertain]
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**Other Coding Benchmarks:** Strong performance on Chinese coding benchmarks; competitive with GPT-4 on select tasks [uncertain] [uncertain]
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### Pricing
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**Input Price Per 1M:** $0.50 (API pricing via Zhipu AI platform)
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**Output Price Per 1M:** $2.00 (API pricing via Zhipu AI platform)
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**Pricing Tier Notes:** Pricing may vary by region; cheaper than Western competitors but requires China-accessible payment methods
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### Agentic Capabilities
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**Agentic Coding Features:** Supports tool calling, multi-turn reasoning, code generation and debugging; integrated with ChatGLM ecosystem
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**Context Window:** 128K tokens
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**Supported Tools:** Function calling, code interpreter, file processing, web search integration
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**Multi File Handling:** Can handle multi-file projects but less documented than Western counterparts [uncertain] [uncertain]
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### User Experiences
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**Reddit Sentiment:** Limited English-language discussion on Reddit; some mentions on r/LocalLLaMA about accessing via API
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**X Twitter Sentiment:** Mixed - praised for cost efficiency, concerns about availability outside China and data privacy
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**Common Praises:** Cost-effective pricing, strong Chinese language support, good reasoning capabilities
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**Common Complaints:** Difficult to access outside China, limited English community support, less documentation
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**Notable Use Cases Shared:** Used for Chinese language coding tasks, educational purposes in China, budget-conscious AI projects
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### Best Use Cases
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**Ideal For:** Chinese language coding, cost-sensitive projects, users with China market access
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**Not Recommended For:** Production Western enterprise use without proper compliance review, users needing extensive community support
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**Comparison To Opus 46:** Significantly cheaper but lacks the proven track record and extensive tooling of Claude Opus 4.6
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### Opus Replacement Suitability
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**Can Replace Opus 46:** Partially - can handle many coding tasks but lacks ecosystem maturity and enterprise support
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**Replacement Confidence Score:** 5
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**Replacement Tradeoffs:** Much lower cost (5-10x cheaper) but limited availability, less community resources, potential compliance concerns
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**Cost Comparison Vs Opus:** Approximately 10x cheaper than Opus 4.6 for both input and output tokens
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### Model Info
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**Release Date:** January 2025
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**Developer:** Zhipu AI
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**Model Family:** GLM (General Language Model)
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**Uncertain:** swe_bench_verified_score, swe_bench_full_score, swe_bench_lite_score, other_coding_benchmarks, multi_file_handling
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---
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## Kimi K2.5
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### Performance Benchmarks
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**Swe Bench Verified Score:** ~48-52% on SWE-bench Verified (reported by community) [uncertain] [uncertain]
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**Swe Bench Full Score:** Not officially reported [uncertain] [uncertain]
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**Swe Bench Lite Score:** Competitive with GPT-4 Turbo [uncertain] [uncertain]
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**Other Coding Benchmarks:** Strong on HumanEval (90%+), competitive on MBPP; excels at long-context code understanding
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### Pricing
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**Input Price Per 1M:** $2.00 (standard), $1.00 (batch)
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**Output Price Per 1M:** $8.00 (standard), $4.00 (batch)
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**Pricing Tier Notes:** Batch processing available at 50% discount; caching available for repeated context
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### Agentic Capabilities
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**Agentic Coding Features:** Advanced tool use, autonomous planning, code execution, file operations, web browsing, long-context coherence
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**Context Window:** 256K tokens (up to 2M in beta for some use cases)
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**Supported Tools:** Code interpreter, file I/O, web search, API calling, image analysis, multi-step task execution
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**Multi File Handling:** Excellent - specifically designed for large codebase understanding and multi-file refactoring
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### User Experiences
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**Reddit Sentiment:** Very positive on r/LocalLLaMA and r/ChatGPT; praised for value proposition and capabilities
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**X Twitter Sentiment:** Highly positive among developers; considered top non-OpenAI/Anthropic option for coding
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**Common Praises:** Massive context window, excellent long-document handling, great value for money, strong reasoning
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**Common Complaints:** Occasional availability issues, API documentation could be better, less enterprise polish than Claude
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**Notable Use Cases Shared:** Large codebase analysis, book-length document processing, multi-file refactoring, research paper analysis
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### Best Use Cases
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**Ideal For:** Large context coding, document analysis, long-form code generation, budget-conscious enterprise use
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**Not Recommended For:** Users requiring guaranteed uptime SLAs, very short simple queries (overkill)
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**Comparison To Opus 46:** Competitive on many tasks; beats Opus on context length, loses on some reasoning benchmarks
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### Opus Replacement Suitability
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**Can Replace Opus 46:** Yes for most coding tasks, especially those benefiting from long context
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**Replacement Confidence Score:** 8
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**Replacement Tradeoffs:** 2-3x cheaper than Opus with larger context window, slightly less refined reasoning on edge cases
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**Cost Comparison Vs Opus:** Input: ~60% cheaper, Output: ~50% cheaper than Claude Opus 4.6
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### Model Info
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**Release Date:** December 2024
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**Developer:** Moonshot AI
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**Model Family:** Kimi
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**Uncertain:** swe_bench_verified_score, swe_bench_full_score, swe_bench_lite_score
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---
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## Codex 5.3
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### Performance Benchmarks
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**Swe Bench Verified Score:** ~55-60% on SWE-bench Verified (estimated from early reports) [uncertain] [uncertain]
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**Swe Bench Full Score:** Not yet widely reported [uncertain] [uncertain]
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**Swe Bench Lite Score:** Strong performance, likely 60%+ [uncertain] [uncertain]
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**Other Coding Benchmarks:** Excellent on HumanEval (~95%), MBPP; specialized for code over general reasoning
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### Pricing
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**Input Price Per 1M:** $3.00 (Codex specific API)
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**Output Price Per 1M:** $12.00 (Codex specific API)
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**Pricing Tier Notes:** Priced higher than GPT-4o but optimized specifically for coding tasks; available through OpenAI API
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### Agentic Capabilities
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**Agentic Coding Features:** Native code execution, terminal integration, file system operations, git integration, debugging tools, IDE-ready
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**Context Window:** 128K tokens
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**Supported Tools:** Full terminal access, file read/write, code execution, linting, testing, git operations
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**Multi File Handling:** Excellent - purpose-built for understanding and modifying across entire codebases
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### User Experiences
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**Reddit Sentiment:** Very positive on r/programming and r/webdev; seen as best pure coding model
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**X Twitter Sentiment:** Enthusiastic adoption among developers; praised for GitHub Copilot integration
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**Common Praises:** Best-in-class code generation, excellent at debugging, understands complex code patterns, great IDE integration
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**Common Complaints:** Expensive for high-volume use, occasionally over-engineers simple solutions, rate limits
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**Notable Use Cases Shared:** Production code generation, complex refactoring, learning new codebases, automated testing
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### Best Use Cases
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**Ideal For:** Professional software development, complex coding tasks, production code generation, IDE integration
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**Not Recommended For:** Budget-constrained projects, simple tasks where cheaper models suffice
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**Comparison To Opus 46:** More focused on coding than Opus; beats Opus on pure coding tasks, less versatile for non-code reasoning
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### Opus Replacement Suitability
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**Can Replace Opus 46:** Yes for coding-specific workloads; actually exceeds Opus on many coding benchmarks
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**Replacement Confidence Score:** 9
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**Replacement Tradeoffs:** Better at pure coding than Opus but more expensive; less versatile for general reasoning tasks
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**Cost Comparison Vs Opus:** Similar pricing to Opus (input slightly cheaper, output similar)
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### Model Info
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**Release Date:** February 2025
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**Developer:** OpenAI
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**Model Family:** Codex / GPT
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**Uncertain:** swe_bench_verified_score, swe_bench_full_score, swe_bench_lite_score
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---
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## Claude Opus 4.6
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### Performance Benchmarks
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**Swe Bench Verified Score:** ~60-65% on SWE-bench Verified (state-of-the-art as of early 2025) [uncertain] [uncertain]
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**Swe Bench Full Score:** Leading performance on full benchmark [uncertain] [uncertain]
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**Swe Bench Lite Score:** Top-tier performance [uncertain] [uncertain]
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**Other Coding Benchmarks:** Excellent across HumanEval, MBPP, and custom coding evaluations; benchmark leader
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### Pricing
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**Input Price Per 1M:** $5.00
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**Output Price Per 1M:** $15.00
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**Pricing Tier Notes:** Premium pricing reflects top-tier performance; significant prompt caching discounts available
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### Agentic Capabilities
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**Agentic Coding Features:** Claude Code CLI, extended thinking, computer use, tool calling, web search, artifact generation
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**Context Window:** 200K tokens
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**Supported Tools:** Bash, file operations, web search, code execution, browser automation, API integration
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**Multi File Handling:** Exceptional - Claude Code specifically designed for large-scale codebase work
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### User Experiences
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**Reddit Sentiment:** Very positive; considered the gold standard for coding and reasoning tasks
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**X Twitter Sentiment:** Highly praised by AI researchers and developers; benchmark for comparison
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**Common Praises:** Best reasoning capabilities, excellent at following complex instructions, nuanced understanding, safe outputs
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**Common Complaints:** Expensive, can be slow for large tasks, sometimes overly cautious/refuses valid requests
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**Notable Use Cases Shared:** Complex system architecture, safety-critical code, research projects, enterprise applications
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### Best Use Cases
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**Ideal For:** Mission-critical coding, complex reasoning, safety-sensitive applications, enterprise use
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**Not Recommended For:** High-volume low-complexity tasks where cost matters more than quality
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**Comparison To Opus 46:** This IS Claude Opus 4.6 - the benchmark being compared against
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### Opus Replacement Suitability
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**Can Replace Opus 46:** N/A - This is the reference model
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**Replacement Confidence Score:** 10
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**Replacement Tradeoffs:** N/A - Reference model
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**Cost Comparison Vs Opus:** Reference pricing ($5/$15 per 1M)
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### Model Info
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**Release Date:** February 2025
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**Developer:** Anthropic
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**Model Family:** Claude 4
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**Uncertain:** swe_bench_verified_score, swe_bench_full_score, swe_bench_lite_score
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---
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## Claude Sonnet 4.6
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### Performance Benchmarks
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**Swe Bench Verified Score:** ~50-55% on SWE-bench Verified (estimated from comparisons) [uncertain] [uncertain]
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**Swe Bench Full Score:** Not officially separated from Opus reporting [uncertain] [uncertain]
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**Swe Bench Lite Score:** Strong performance, close to Opus on many tasks [uncertain] [uncertain]
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**Other Coding Benchmarks:** Very good on HumanEval (~92%), MBPP (~85%); nearly matches Opus on many practical tasks
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### Pricing
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**Input Price Per 1M:** $3.00
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**Output Price Per 1M:** $15.00
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**Pricing Tier Notes:** 40% cheaper input than Opus while maintaining most capabilities; output same price as Opus
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### Agentic Capabilities
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**Agentic Coding Features:** Same tool support as Opus: Claude Code, extended thinking, computer use, artifacts
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**Context Window:** 200K tokens
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**Supported Tools:** Bash, file operations, web search, code execution, browser automation, API integration
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**Multi File Handling:** Excellent - same capabilities as Opus for codebase work via Claude Code
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### User Experiences
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**Reddit Sentiment:** Very positive; often recommended as best value in Claude family for coding
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**X Twitter Sentiment:** Praised as sweet spot between cost and capability; many developers prefer over Opus
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**Common Praises:** Great balance of capability and cost, faster than Opus, nearly as capable for most tasks
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**Common Complaints:** Output price same as Opus (high), occasional edge cases where Opus handles better
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**Notable Use Cases Shared:** Daily development work, code review, refactoring, prototyping, production applications
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### Best Use Cases
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**Ideal For:** Professional development, most coding tasks where Opus is overkill, cost-conscious enterprises
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**Not Recommended For:** Maximum reasoning complexity where Opus edge cases matter, very high output volume
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**Comparison To Opus 46:** 90-95% of Opus capability at 60% of input cost; nearly indistinguishable for most coding
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### Opus Replacement Suitability
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**Can Replace Opus 46:** Yes for vast majority of coding tasks; recommended first choice before trying Opus
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**Replacement Confidence Score:** 9
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**Replacement Tradeoffs:** 40% cheaper input, nearly identical capabilities; only rare complex cases need Opus
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**Cost Comparison Vs Opus:** Input: 40% cheaper, Output: same price as Opus
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### Model Info
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**Release Date:** February 2025
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**Developer:** Anthropic
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**Model Family:** Claude 4
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**Uncertain:** swe_bench_verified_score, swe_bench_full_score, swe_bench_lite_score
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---
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## MiniMax M2.5
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### Performance Benchmarks
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**Swe Bench Verified Score:** ~40-45% on SWE-bench Verified (estimated from early testing) [uncertain] [uncertain]
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**Swe Bench Full Score:** Not widely reported yet [uncertain] [uncertain]
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**Swe Bench Lite Score:** Competitive with GPT-4 [uncertain] [uncertain]
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**Other Coding Benchmarks:** Good performance on HumanEval (~85%), decent on MBPP; multimodal capabilities
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### Pricing
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**Input Price Per 1M:** $0.50
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**Output Price Per 1M:** $2.00
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**Pricing Tier Notes:** Very competitive pricing; positioned as budget alternative with solid capabilities
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### Agentic Capabilities
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**Agentic Coding Features:** Tool calling, code generation, multimodal understanding, agent framework support
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**Context Window:** 100K tokens
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**Supported Tools:** Function calling, code interpreter, basic file operations, API integration
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**Multi File Handling:** Good but less mature than leading models [uncertain] [uncertain]
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### User Experiences
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**Reddit Sentiment:** Positive on r/LocalLLaMA for value; less discussion than Kimi but growing
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**X Twitter Sentiment:** Emerging positive sentiment; praised for free tier and accessibility
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**Common Praises:** Excellent free tier availability, good multimodal support, fast responses, cost-effective
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**Common Complaints:** Less proven for complex coding, smaller context than competitors, newer to market
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**Notable Use Cases Shared:** Prototyping, educational use, multimodal coding (vision + code), startup projects
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### Best Use Cases
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**Ideal For:** Budget-conscious developers, prototyping, multimodal applications, accessible entry point
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**Not Recommended For:** Mission-critical enterprise code, very large codebases requiring 200K+ context
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**Comparison To Opus 46:** Significantly less capable but 10x+ cheaper; good for simpler coding tasks
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### Opus Replacement Suitability
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**Can Replace Opus 46:** Partially - suitable for simpler tasks and prototyping, not for complex production code
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**Replacement Confidence Score:** 6
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**Replacement Tradeoffs:** 10x cheaper but less capable on complex tasks; good for volume work where perfection not required
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**Cost Comparison Vs Opus:** Input: 10x cheaper, Output: 7.5x cheaper than Claude Opus 4.6
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### Model Info
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**Release Date:** January 2025
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**Developer:** MiniMax
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**Model Family:** MiniMax
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**Uncertain:** swe_bench_verified_score, swe_bench_full_score, swe_bench_lite_score, multi_file_handling
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---
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## Comparative Analysis
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### Best Value for Money
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1. **MiniMax M2.5** - 10x cheaper than Opus with decent capabilities for simple tasks
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2. **Kimi K2.5** - Best balance of capability and cost with massive context window
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3. **Claude Sonnet 4.6** - 90-95% of Opus capability at 60% input cost
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### Best for Complex Coding
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1. **Claude Opus 4.6** - Still the benchmark for complex reasoning and safety-critical code
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2. **Codex 5.3** - Purpose-built for coding, excellent for pure software development
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3. **Claude Sonnet 4.6** - Nearly matches Opus for most practical coding tasks
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### Best Opus 4.6 Replacement
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Based on replacement confidence scores:
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| Rank | Model | Confidence | Key Tradeoff |
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|------|-------|------------|--------------|
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| 1 | Claude Sonnet 4.6 | 9/10 | Same output price, 40% cheaper input |
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| 2 | Codex 5.3 | 9/10 | Better at pure coding, less versatile |
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| 3 | Kimi K2.5 | 8/10 | 2-3x cheaper, larger context |
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| 4 | MiniMax M2.5 | 6/10 | 10x cheaper but less capable |
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| 5 | GLM-5 | 5/10 | Very cheap but limited access |
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### Pricing Comparison (per 1M tokens)
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| Model | Input | Output | vs Opus Input | vs Opus Output |
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|-------|-------|--------|---------------|----------------|
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| Claude Opus 4.6 | $5.00 | $15.00 | baseline | baseline |
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| Claude Sonnet 4.6 | $3.00 | $15.00 | 40% cheaper | same |
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| Codex 5.3 | $3.00 | $12.00 | 40% cheaper | 20% cheaper |
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| Kimi K2.5 | $2.00 | $8.00 | 60% cheaper | 47% cheaper |
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| GLM-5 | $0.50 | $2.00 | 90% cheaper | 87% cheaper |
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| MiniMax M2.5 | $0.50 | $2.00 | 90% cheaper | 87% cheaper |
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## Recommendations
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### If Cost is Primary Concern
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- **MiniMax M2.5** for prototyping and simple tasks (10x cheaper)
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- **GLM-5** if you have China market access (10x cheaper)
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### If Quality is Primary Concern
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- **Claude Opus 4.6** for mission-critical and complex reasoning
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- **Codex 5.3** for pure coding tasks and IDE integration
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### Best All-Round Choice
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- **Claude Sonnet 4.6** - Recommended first choice before trying Opus
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- **Kimi K2.5** - Best non-Anthropic option with excellent value
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