LLM Comparison
Ministral 3 14B 2512 vs Claude Opus 4.7
Side-by-side specs, pricing & capabilities · Updated May 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 71 4.7 | |
| Family | Ministral | Claude |
| Status | Current | Current |
| Release Date | Dec 2025 | Apr 2026 |
| Context Window | 262K tokens | 1.0M tokens |
| Input Price | $0.20/M tokens | $5.00/M tokens |
| Output Price | $0.20/M tokens | $25.00/M tokens |
| Pricing Notes | Cache read: $0.0200/M tokens | Cache read: $0.5000/M tokens |
| Capabilities | textvisioncodetool-use | textvisioncodetool-use |
| Max Output | — | 128K tokens |
| API Identifier | mistralai/ministral-14b-2512 | anthropic/claude-opus-4.7 |
| Benchmarks | ||
| MMLU | — | 84.7anthropic |
| MMLU-Pro | — | 78.1anthropic |
| MMMLU | — | 92anthropic |
| GPQA Diamond | — | 94.2anthropic |
| HLE | — | 54.7artificial-analysis |
| SWE-bench Verified | — | 87.6anthropic |
| SWE-bench Pro | — | 64.3anthropic |
| SWE-bench Multilingual+Multimodal | — | 80.5anthropic |
| Terminal-Bench | — | 69.4anthropic |
| MCP-Atlas | — | 77.3anthropic |
| Berkeley Function Calling | — | 77.3anthropic |
| OSWorld-Verified | — | 78anthropic |
| BrowseComp | — | 79.3anthropic |
| CharXiv-R | — | 91anthropic |
| DocVQA | — | 93.1anthropic |
| CyberGym | — | 73.1anthropic |
| GDPVal-AA Elo | — | 1753artificial-analysis |
| View Ministral 3 14B 2512 | View Claude Opus 4.7 | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Ministral 3 14B 2512Cheapest | $0.20 | $0.10 | $0.30 | — |
| Claude Opus 4.7 | $5.00 | $12.50 | $17.50 | +5733% |
Mistral AI
Ministral 3 14B 2512
Ministral 3 14B 2512 is a multimodal llm from Mistral AI. Supports up to 262,144 token context window. Available from $0.20/M input tokens.
Anthropic
Claude Opus 4.7
Claude Opus 4.7 is Anthropic's most capable generally available model, with significant improvements in advanced software engineering, agentic tool use, and vision resolution. Achieves 87.6% on SWE-bench Verified and 94.2% on GPQA Diamond. Supports up to 1,000,000 token context window with 3.3x higher-resolution vision than Opus 4.6.
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