Claude Opus 4.7 vs Mistral Large
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •Mistral Large is 80% cheaper on input tokens - better for high-volume workloads.
- •Claude Opus 4.7 has a 200K context window - 2x larger than Mistral Large's 128K. Better for long documents and large codebases.
Specs comparison
| Claude Opus 4.7 | Mistral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Type | Closed source | Closed source |
| Context window | ✓200K | 128K |
| Input / 1M tokens | $15.00 | ✓$3.00 |
| Output / 1M tokens | $75.00 | $9.00 |
| Release date | 2025-09 | 2024-07 |
Benchmarks
| Benchmark | Claude Opus 4.7 | Mistral Large |
|---|---|---|
| GPQA Diamond | ~75% | - |
| MMLU | ~90% | 84.0% |
| HumanEval | ~95% | 92.0% |
Scores sourced from official provider release posts.
Strengths
Claude Opus 4.7
- ✓Best-in-class multi-step reasoning
- ✓Strong scientific and mathematical analysis
- ✓Superior long-context comprehension
- ✓Highly accurate instruction following
- ✓Best Anthropic model for research and analysis
Mistral Large
- ✓Native multilingual support across 12+ languages
- ✓Reliable function calling and tool use
- ✓Strong coding across 80+ programming languages
- ✓EU-based inference for data compliance
- ✓128K context at competitive pricing
Which should you choose?
Choose Claude Opus 4.7 if you need...
- →Complex research tasks
- →High-stakes code generation
- →Long-document analysis
- →Scientific reasoning
Choose Mistral Large if you need...
- →Multilingual European deployments
- →Tool-calling and agentic pipelines
- →Code generation and review
- →GDPR-compliant AI applications