LLM Comparison
Claude Opus 4.6 vs Mistral Small 4
Side-by-side specs, pricing & capabilities · Updated October 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 60 4.0 | 17 44.3 |
| Family | Claude | Mistral |
| Status | Current | Current |
| Release Date | Feb 2026 | Mar 2026 |
| Context Window | 1.0M tokens | 262K tokens |
| Input Price | $5.00/M tokens | $0.15/M tokens |
| Output Price | $25.00/M tokens | $0.60/M tokens |
| Pricing Notes | Cache read: $0.5000/M tokens | Cache read: $0.0150/M tokens |
| Capabilities | textvisioncodetool-use | textvisioncodetool-use |
| Max Output | 128K tokens | — |
| API Identifier | anthropic/claude-opus-4.6 | mistralai/mistral-small-2603 |
| Benchmarks | ||
| MMLU | 89.8anthropic | — |
| GPQA Diamond | 91.3anthropic | 58.8mistral |
| SWE-bench Verified | 80.8anthropic | — |
| SWE-bench Pro | 53.4anthropic | — |
| Terminal-Bench 2.0 | 65.4anthropic | — |
| MATH 500 | 80.7anthropic | — |
| LiveCodeBench | 55.9anthropic | 64mistral |
| Berkeley Function Calling | 91.9anthropic | — |
| HLE | 48anthropic | — |
| MCP-Atlas | 75.8anthropic | — |
| BrowseComp | 83.7anthropic | — |
| OSWorld-Verified | 72.7anthropic | — |
| DocVQA | 91.3anthropic | — |
| GPQA-AA Elo | 1619artificial-analysis | — |
| MMLU-Pro | — | 68.5mistral |
| HumanEval | — | 78.5mistral |
| MGSM | — | 72.3mistral |
| Artificial Analysis Intelligence Index v4.3 | — | 11.4511artificial-analysis |
| SciCode | — | 38.7731artificial-analysis |
| Terminal-Bench 2.1 | — | 20.9738artificial-analysis |
| View Claude Opus 4.6 | View Mistral Small 4 | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Mistral Small 4Cheapest | $0.15 | $0.30 | $0.45 | — |
| Claude Opus 4.6 | $5.00 | $12.50 | $17.50 | +3789% |
Anthropic
Claude Opus 4.6
Claude Opus 4.6 is a multimodal LLM from Anthropic with adaptive reasoning capabilities. Achieves 91.3% on GPQA Diamond and 80.8% on SWE-bench Verified. Supports up to 1,000,000 token context window. Available from $5.00/M input tokens.
Mistral AI
Mistral Small 4
Mistral Small 4 is Mistral's Apache-2.0 open-weight hybrid model for instruction following, reasoning, and coding. It has 119B total parameters, 6.5B active parameters, and a 256K-token context window.
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