Model comparison
Claude Sonnet 5 vs Mistral Large 3
Head-to-head evidence from 14 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 5 #29 (Estimated); Mistral Large 3 #113 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 5 and Mistral Large 3 share 14 comparable benchmark results. 0 of 8 categories are comparable. 22 results are unique to Claude Sonnet 5; 2 to Mistral Large 3.
Updated July 23, 2026- Shared results
- 14
- Claude Sonnet 5 only
- 22
- Mistral Large 3 only
- 2
- Comparable categories
- 0 / 8
Benchmark data for Claude Sonnet 5 and Mistral Large 3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 14 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 5 is priced at $2.00 input / $10.00 output per 1M tokens, versus $0.50 input / $1.50 output per 1M tokens for Mistral Large 3. Claude Sonnet 5 has the larger context window at 1M, compared with 128K for Mistral Large 3.
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 5 | Δ | Mistral Large 3 |
|---|---|---|---|
| Agentic | Claude Sonnet 581.9 | MarginNo overlap | Mistral Large 3Not measured |
| Coding | Claude Sonnet 576.7 | MarginNo overlap | Mistral Large 3Not measured |
| Knowledge | Claude Sonnet 557.4 | MarginNo overlap | Mistral Large 3Not measured |
| Multimodal | Claude Sonnet 588.3 | MarginNo overlap | Mistral Large 3Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 5 | Mistral Large 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 5$2 input / $10 output | Mistral Large 3$0.5 input / $1.5 output | Mistral Large 3 has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 5Not available | Mistral Large 348 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 5Not available | Mistral Large 31.04 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 51M | Mistral Large 3128K | Claude Sonnet 5 lists the larger context window. |
Benchmark Deep Dive
Agentic14 benchmarks
| Benchmark | Claude Sonnet 5 | Mistral Large 3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| BrowseCompSource | 84.7% | — | Not comparable |
| HLE w/ toolsSource | 57.4% | — | Not comparable |
| OSWorld-VerifiedSource | 81.2% | — | Not comparable |
| GDPval-AASource | 1607 | 633 | Claude Sonnet 5 leads |
| AA Agentic IndexSource | 46.7% | 5.5% | Claude Sonnet 5 leads |
| GDPval-AASource | 55.4% | 6.6% | Claude Sonnet 5 leads |
| AA BriefcaseSource | 1388 | — | Not comparable |
| AA AutomationBenchSource | 39.2% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.7% | — | Not comparable |
| AA Harvey LABSource | 90.1% | — | Not comparable |
| AA Tau3 BankingSource | 28.2% | — | Not comparable |
| aaTerminalBench21Source | 80.5% | — | Not comparable |
| τ²-bench resultsSource | — | 24.6% | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Sonnet 5 | Mistral Large 3 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 85.2% | — | Not comparable |
| SWE-bench ProSource | 63.2% | — | Not comparable |
| SWE MultilingualSource | 78.3% | — | Not comparable |
| SWE MultimodalSource | 28.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| FrontierCode 1.1 MainSource | 42.7% | — | Not comparable |
| cursorBench32Source | 61.5% | — | Not comparable |
| AA Coding IndexSource | 71.5% | 20.1% | Claude Sonnet 5 leads |
| AA-SciCodeSource | 53.6% | 36.2% | Claude Sonnet 5 leads |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Claude Sonnet 5 | Mistral Large 3 | Result |
|---|---|---|---|
| HLESource | 57.4% | — | Not comparable |
| HLE w/o toolsSource | 43.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 53.4% | 15.9% | Claude Sonnet 5 leads |
| AA-GPQA DiamondSource | 91.1% | 68.0% | Claude Sonnet 5 leads |
| AA-HLESource | 39.6% | 4.1% | Claude Sonnet 5 leads |
| AA-Omniscience IndexSource | 15.3% | -39.4% | Claude Sonnet 5 leads |
| AA-Omniscience AccuracySource | 38.3% | 24.1% | Claude Sonnet 5 leads |
| AA-Omniscience Hallucination RateSource | 37.3% | 83.7% | Claude Sonnet 5 leads |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 5 | Mistral Large 3 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 36.2% | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Sonnet 5 and Mistral Large 3 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 5 and Mistral Large 3 today?
Claude Sonnet 5: $2.00 input / $10.00 output per 1M tokens Mistral Large 3: $0.50 input / $1.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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