Model comparison
Mistral Large 2 vs Qwen3.5 397B (Reasoning)
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: Mistral Large 2 #163 (Estimated); Qwen3.5 397B (Reasoning) #56 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Large 2 and Qwen3.5 397B (Reasoning) share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Mistral Large 2; 6 to Qwen3.5 397B (Reasoning).
Updated July 20, 2026- Shared results
- 11
- Mistral Large 2 only
- 0
- Qwen3.5 397B (Reasoning) only
- 6
- Comparable categories
- 0 / 8
Benchmark data for Mistral Large 2 and Qwen3.5 397B (Reasoning) 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.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Large 2 | Qwen3.5 397B (Reasoning) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Large 2Not available | Qwen3.5 397B (Reasoning)$0.6 input / $3.6 output | A complete price comparison is not available. |
| Generation speedtokens per second | Mistral Large 238 tok/s | Qwen3.5 397B (Reasoning)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Large 21.45 s | Qwen3.5 397B (Reasoning)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Large 2128K | Qwen3.5 397B (Reasoning)128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Mistral Large 2 | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 9.2% | 33.7% | Qwen3.5 397B (Reasoning) leads |
| AA-GPQA DiamondSource | 48.6% | 89.3% | Qwen3.5 397B (Reasoning) leads |
| AA-HLESource | 4.0% | 27.3% | Qwen3.5 397B (Reasoning) leads |
| AA-Omniscience IndexSource | -34.0% | -29.8% | Qwen3.5 397B (Reasoning) leads |
| AA-Omniscience AccuracySource | 20.1% | 31.4% | Qwen3.5 397B (Reasoning) leads |
| AA-Omniscience Hallucination RateSource | 67.8% | 89.1% | Mistral Large 2 leads |
Multimodal1 benchmarks
| Benchmark | Mistral Large 2 | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 77.3% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Mistral Large 2 | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| AA-IFBenchSource | 31.2% | 78.8% | Qwen3.5 397B (Reasoning) leads |
Frequently Asked Questions (3)
Can I compare Mistral Large 2 and Qwen3.5 397B (Reasoning) 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 2 and Qwen3.5 397B (Reasoning) today?
Mistral Large 2: Pricing unavailable Qwen3.5 397B (Reasoning): $0.60 input / $3.60 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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