Model comparison
Claude Sonnet 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 Sonnet 4.6 #32 (Supported); Mistral Large 2 #163 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and Mistral Large 2 share 11 comparable benchmark results. 0 of 8 categories are comparable. 22 results are unique to Claude Sonnet 4.6; 0 to Mistral Large 2.
Updated July 20, 2026- Shared results
- 11
- Claude Sonnet 4.6 only
- 22
- Mistral Large 2 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude Sonnet 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 Sonnet 4.6 has the larger context window at 200K, 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 Sonnet 4.6 | Δ | Mistral Large 2 |
|---|---|---|---|
| Agentic | Claude Sonnet 4.665.2 | MarginNo overlap | Mistral Large 2Not measured |
| Coding | Claude Sonnet 4.669.1 | MarginNo overlap | Mistral Large 2Not measured |
| Knowledge | Claude Sonnet 4.666.0 | MarginNo overlap | Mistral Large 2Not measured |
| Math | Claude Sonnet 4.626.4 | MarginNo overlap | Mistral Large 2Not measured |
| Multimodal | Claude Sonnet 4.677.4 | 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 Sonnet 4.6 | Mistral Large 2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | Mistral Large 2Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | Mistral Large 238 tok/s | Claude Sonnet 4.6 has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | Mistral Large 21.45 s | Mistral Large 2 reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | Mistral Large 2128K | Claude Sonnet 4.6 lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Claude Sonnet 4.6 | Mistral Large 2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | 30.7% | Claude Sonnet 4.6 leads |
| Gert LabsSource | 62.92% | — | Not comparable |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
Coding7 benchmarks
| Benchmark | Claude Sonnet 4.6 | Mistral Large 2 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | — | Not comparable |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | — | Not comparable |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | 29.2% | Claude Sonnet 4.6 leads |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 4.6 | Mistral Large 2 | Result |
|---|---|---|---|
| GPQASource | 89.9% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | 9.2% | Claude Sonnet 4.6 leads |
| AA-GPQA DiamondSource | 79.9% | 48.6% | Claude Sonnet 4.6 leads |
| AA-HLESource | 13.2% | 4.0% | Claude Sonnet 4.6 leads |
| AA-Omniscience IndexSource | -2.9% | -34.0% | Claude Sonnet 4.6 leads |
| AA-Omniscience AccuracySource | 38.0% | 20.1% | Claude Sonnet 4.6 leads |
| AA-Omniscience Hallucination RateSource | 65.9% | 67.8% | Claude Sonnet 4.6 leads |
Math2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | Mistral Large 2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | 31.2% | Claude Sonnet 4.6 leads |
Frequently Asked Questions (3)
Can I compare Claude Sonnet 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 Sonnet 4.6 and Mistral Large 2 today?
Claude Sonnet 4.6: $3.00 input / $15.00 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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