Model comparison
Mistral Large 3 vs Qwen3.7 Max
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mistral Large 3 #113 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Large 3 and Qwen3.7 Max share 15 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Mistral Large 3; 43 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 15
- Mistral Large 3 only
- 1
- Qwen3.7 Max only
- 43
- Comparable categories
- 0 / 8
Benchmark data for Mistral Large 3 and Qwen3.7 Max is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 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.
Qwen3.7 Max 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 | Mistral Large 3 | Δ | Qwen3.7 Max |
|---|---|---|---|
| Agentic | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Max69.7 |
| Coding | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Max77.9 |
| Reasoning | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Max90.4 |
| Knowledge | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Max64.2 |
| Math | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Max97.1 |
| Multilingual | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Max87.0 |
| Inst. Following | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Max84.4 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Large 3 | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Large 3$0.5 input / $1.5 output | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Mistral Large 348 tok/s | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Large 31.04 s | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Large 3128K | Qwen3.7 Max1M | Qwen3.7 Max lists the larger context window. |
Benchmark Deep Dive
Agentic21 benchmarks
| Benchmark | Mistral Large 3 | Qwen3.7 Max | Result |
|---|---|---|---|
| AA Agentic IndexSource | 5.5% | 30.6% | Qwen3.7 Max leads |
| τ²-bench resultsSource | 24.6% | 94.7% | Qwen3.7 Max leads |
| GDPval-AASource | 6.6% | 38.7% | Qwen3.7 Max leads |
| GDPval-AASource | 633 | 1273 | Qwen3.7 Max leads |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
| QwenClawBenchSource | — | 64.3% | Not comparable |
| QwenWebBenchSource | — | 1568 | Not comparable |
| Claw-EvalSource | — | 65.2% | Not comparable |
| BFCL v4Source | — | 75.0% | Not comparable |
| MCP AtlasSource | — | 76.4% | Not comparable |
| VITA-BenchSource | — | 47.9% | Not comparable |
| HLE w/ toolsSource | — | 53.5% | Not comparable |
| Gert LabsSource | — | 64.27% | Not comparable |
| ResearchClawBenchSource | — | 18.7% | Not comparable |
| AA BriefcaseSource | — | 908 | Not comparable |
| AA AutomationBenchSource | — | 25.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 45.0% | Not comparable |
| AA ITBenchSource | — | 42.5% | Not comparable |
| terminalBenchHardSource | — | 50.8% | Not comparable |
| aaTerminalBench21Source | — | 74.5% | Not comparable |
| AA Harvey LABSource | — | 83.4% | Not comparable |
Coding9 benchmarks
| Benchmark | Mistral Large 3 | Qwen3.7 Max | Result |
|---|---|---|---|
| AA Coding IndexSource | 20.1% | 66.0% | Qwen3.7 Max leads |
| AA-SciCodeSource | 36.2% | 48.8% | Qwen3.7 Max leads |
| SWE-bench VerifiedSource | — | 80.4% | Not comparable |
| SWE-bench ProSource | — | 60.6% | Not comparable |
| SWE MultilingualSource | — | 78.3% | Not comparable |
| NL2RepoSource | — | 47.2% | Not comparable |
| SciCodeSource | — | 53.5% | Not comparable |
| LiveCodeBenchSource | — | 91.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | Mistral Large 3 | Qwen3.7 Max | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 15.9% | 46.0% | Qwen3.7 Max leads |
| AA-GPQA DiamondSource | 68.0% | 92.3% | Qwen3.7 Max leads |
| AA-HLESource | 4.1% | 38.1% | Qwen3.7 Max leads |
| AA-Omniscience IndexSource | -39.4% | 14.1% | Qwen3.7 Max leads |
| AA-Omniscience AccuracySource | 24.1% | 30.1% | Qwen3.7 Max leads |
| AA-Omniscience Hallucination RateSource | 83.7% | 22.9% | Qwen3.7 Max leads |
| GPQASource | — | 92.4% | Not comparable |
| GPQA-DSource | — | 92.4% | Not comparable |
| HLESource | — | 41.4% | Not comparable |
| MMLU-ProSource | — | 89.6% | Not comparable |
| MMLU-ReduxSource | — | 95% | Not comparable |
| SuperGPQASource | — | 73.6% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare Mistral Large 3 and Qwen3.7 Max 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 Mistral Large 3 and Qwen3.7 Max today?
Mistral Large 3: $0.50 input / $1.50 output per 1M tokens Qwen3.7 Max: Pricing unavailable 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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