Model comparison
Mistral Large 3 vs Qwen3.7 Plus
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mistral Large 3 #113 (Supported); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Large 3 and Qwen3.7 Plus share 16 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Mistral Large 3; 53 to Qwen3.7 Plus.
Updated July 23, 2026- Shared results
- 16
- Mistral Large 3 only
- 0
- Qwen3.7 Plus only
- 53
- Comparable categories
- 0 / 8
Benchmark data for Mistral Large 3 and Qwen3.7 Plus is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 6 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 Plus 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 Plus |
|---|---|---|---|
| Agentic | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Plus71.7 |
| Coding | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Plus75.6 |
| Reasoning | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Plus91.7 |
| Knowledge | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Plus60.1 |
| Math | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Plus92.9 |
| Multilingual | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Plus85.4 |
| Multimodal | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Plus81.5 |
| Inst. Following | Mistral Large 3Not measured | MarginNo overlap | Qwen3.7 Plus84.5 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Large 3 | Qwen3.7 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Large 3$0.5 input / $1.5 output | Qwen3.7 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Mistral Large 348 tok/s | Qwen3.7 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Large 31.04 s | Qwen3.7 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Large 3128K | Qwen3.7 Plus1M | Qwen3.7 Plus lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Mistral Large 3 | Qwen3.7 Plus | Result |
|---|---|---|---|
| AA Agentic IndexSource | 5.5% | 20.8% | Qwen3.7 Plus leads |
| τ²-bench resultsSource | 24.6% | 93% | Qwen3.7 Plus leads |
| GDPval-AASource | 6.6% | 21.8% | Qwen3.7 Plus leads |
| GDPval-AASource | 633 | 936 | Qwen3.7 Plus leads |
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| QwenClawBenchSource | — | 61.8% | Not comparable |
| QwenWebBenchSource | — | 1536 | Not comparable |
| Claw-EvalSource | — | 62.7% | Not comparable |
| BFCL v4Source | — | 72.9% | Not comparable |
| MCP AtlasSource | — | 73.2% | Not comparable |
| VITA-BenchSource | — | 45.6% | Not comparable |
| DeepPlanningSource | — | 62.3% | Not comparable |
| OSWorld-VerifiedSource | — | 73.3% | Not comparable |
| AndroidWorldSource | — | 81.0% | Not comparable |
| APEX-Agents-AASource | — | 22.4% | Not comparable |
| OSWorld 2.0Source | — | 2.8% | Not comparable |
Coding9 benchmarks
| Benchmark | Mistral Large 3 | Qwen3.7 Plus | Result |
|---|---|---|---|
| AA Coding IndexSource | 20.1% | 55.9% | Qwen3.7 Plus leads |
| AA-SciCodeSource | 36.2% | 45.5% | Qwen3.7 Plus leads |
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| SWE-bench VerifiedSource | — | 77.7% | Not comparable |
| SWE-bench ProSource | — | 57.6% | Not comparable |
| SWE MultilingualSource | — | 75.8% | Not comparable |
| NL2RepoSource | — | 41.1% | Not comparable |
| SciCodeSource | — | 51.3% | Not comparable |
| LiveCodeBenchSource | — | 89.6% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | Mistral Large 3 | Qwen3.7 Plus | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 15.9% | 39.0% | Qwen3.7 Plus leads |
| AA-GPQA DiamondSource | 68.0% | 90.0% | Qwen3.7 Plus leads |
| AA-HLESource | 4.1% | 33.4% | Qwen3.7 Plus leads |
| AA-Omniscience IndexSource | -39.4% | 2.4% | Qwen3.7 Plus leads |
| AA-Omniscience AccuracySource | 24.1% | 22.2% | Mistral Large 3 leads |
| AA-Omniscience Hallucination RateSource | 83.7% | 25.5% | Qwen3.7 Plus leads |
| GPQASource | — | 90.3% | Not comparable |
| GPQA-DSource | — | 90.3% | Not comparable |
| HLESource | — | 34.7% | Not comparable |
| MMLU-ProSource | — | 88.5% | Not comparable |
| MMLU-ReduxSource | — | 94.5% | Not comparable |
| SuperGPQASource | — | 71.4% | Not comparable |
| MMMLUSource | — | 89.0% | Not comparable |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal17 benchmarks
| Benchmark | Mistral Large 3 | Qwen3.7 Plus | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 55.7% | 80.5% | Qwen3.7 Plus leads |
| MMMU-ProSource | — | 79% | Not comparable |
| MathVisionSource | — | 90.3% | Not comparable |
| CharXivSource | — | 85.9% | Not comparable |
| ERQASource | — | 69.8% | Not comparable |
| MedXpertQA (MM)Source | — | 71.0% | Not comparable |
| ScreenSpot ProSource | — | 79.0% | Not comparable |
| SimpleVQASource | — | 81.7% | Not comparable |
| MMSearch-PlusSource | — | 41.4% | Not comparable |
| RealWorldQASource | — | 86.9% | Not comparable |
| OmniDocBench 1.5Source | — | 91.4% | Not comparable |
| OCRBench V2Source | — | 70.7% | Not comparable |
| ODINW13Source | — | 51.1% | Not comparable |
| Video-MME (with subtitle)Source | — | 88.0% | Not comparable |
| VideoMMMUSource | — | 85.4% | Not comparable |
| MLVU (M-Avg)Source | — | 87.4% | Not comparable |
| Design Arena WebsiteSource | — | 1288 | Not comparable |
Frequently Asked Questions (3)
Can I compare Mistral Large 3 and Qwen3.7 Plus 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 Plus today?
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.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.