Model comparison
Claude Opus 4.6 vs Mistral Large 2
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.6 #16 (Supported); Mistral Large 2 #163 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 and Mistral Large 2 share 11 comparable benchmark results. 0 of 8 categories are comparable. 35 results are unique to Claude Opus 4.6; 0 to Mistral Large 2.
Updated July 20, 2026- Shared results
- 11
- Claude Opus 4.6 only
- 35
- Mistral Large 2 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.6 and Mistral Large 2 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Claude Opus 4.6 has the larger context window at 1M, compared with 128K for Mistral Large 2.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Opus 4.6 | Δ | Mistral Large 2 |
|---|---|---|---|
| Agentic | Claude Opus 4.673.0 | MarginNo overlap | Mistral Large 2Not measured |
| Coding | Claude Opus 4.668.1 | MarginNo overlap | Mistral Large 2Not measured |
| Knowledge | Claude Opus 4.669.1 | MarginNo overlap | Mistral Large 2Not measured |
| Math | Claude Opus 4.636.3 | MarginNo overlap | Mistral Large 2Not measured |
| Multimodal | Claude Opus 4.677.3 | MarginNo overlap | Mistral Large 2Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.6 | Mistral Large 2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6$5 input / $25 output | Mistral Large 2Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.640 tok/s | Mistral Large 238 tok/s | Claude Opus 4.6 has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Opus 4.61.78 s | Mistral Large 21.45 s | Mistral Large 2 reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Opus 4.61M | Mistral Large 2128K | Claude Opus 4.6 lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Claude Opus 4.6 | Mistral Large 2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 65.4% | — | Not comparable |
| BrowseCompSource | 83.7% | — | Not comparable |
| OSWorld-VerifiedSource | 72.7% | — | Not comparable |
| τ²-bench resultsSource | 84.8% | 30.7% | Claude Opus 4.6 leads |
| Claw-EvalSource | 70.4% | — | Not comparable |
| DeepSearchQASource | 73.7% | — | Not comparable |
| CyberGymSource | 66.6% | — | Not comparable |
| Gert LabsSource | 61.85% | — | Not comparable |
| ResearchClawBenchSource | 19.9% | — | Not comparable |
| JobBenchSource | 36.7% | — | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Opus 4.6 | Mistral Large 2 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.8% | — | Not comparable |
| SWE-bench Verified*Source | 75.6% | — | Not comparable |
| LiveCodeBench ProSource | 70.7% | — | Not comparable |
| SWE-bench ProSource | 53.4% | — | Not comparable |
| SWE-RebenchSource | 65.3% | — | Not comparable |
| React Native EvalsSource | 84.1% | — | Not comparable |
| Vibe Code BenchSource | 57.57% | — | Not comparable |
| AA-SciCodeSource | 45.7% | 29.2% | Claude Opus 4.6 leads |
| FrontierCode 1.1 MainSource | 26.9% | — | Not comparable |
Reasoning2 benchmarks
Knowledge15 benchmarks
| Benchmark | Claude Opus 4.6 | Mistral Large 2 | Result |
|---|---|---|---|
| GPQASource | 91.3% | — | Not comparable |
| GPQA-DSource | 89.2% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 82% | — | Not comparable |
| MMLU-Pro (Arcee)Source | 89.1% | — | Not comparable |
| HLESource | 53% | — | Not comparable |
| HLE w/o toolsSource | 40% | — | Not comparable |
| HealthBench HardSource | 14.8% | — | Not comparable |
| MedXpertQA (Text)Source | 52.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 37.8% | 9.2% | Claude Opus 4.6 leads |
| AA-GPQA DiamondSource | 84.0% | 48.6% | Claude Opus 4.6 leads |
| AA-HLESource | 18.6% | 4.0% | Claude Opus 4.6 leads |
| AA-Omniscience IndexSource | 3.5% | -34.0% | Claude Opus 4.6 leads |
| AA-Omniscience AccuracySource | 45.2% | 20.1% | Claude Opus 4.6 leads |
| AA-Omniscience Hallucination RateSource | 76.0% | 67.8% | Mistral Large 2 leads |
Math3 benchmarks
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.6 | Mistral Large 2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 44.6% | 31.2% | Claude Opus 4.6 leads |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.6 and Mistral Large 2 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Opus 4.6 and Mistral Large 2 today?
Claude Opus 4.6: $5.00 input / $25.00 output per 1M tokens Mistral Large 2: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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