Model comparison
Mistral 8x7B vs Qwen3.5 397B (Reasoning)
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mistral 8x7B #146 (Estimated); Qwen3.5 397B (Reasoning) #56 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral 8x7B and Qwen3.5 397B (Reasoning) share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Mistral 8x7B; 17 to Qwen3.5 397B (Reasoning).
Updated July 22, 2026- Shared results
- 0
- Mistral 8x7B only
- 0
- Qwen3.5 397B (Reasoning) only
- 17
- Comparable categories
- 0 / 8
Benchmark data for Mistral 8x7B and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for Mistral 8x7B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Qwen3.5 397B (Reasoning) is priced at $0.60 input / $3.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Mistral 8x7B. Qwen3.5 397B (Reasoning) has the larger context window at 128K, compared with 32K for Mistral 8x7B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral 8x7B | Qwen3.5 397B (Reasoning) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral 8x7B$0 input / $0 output | Qwen3.5 397B (Reasoning)$0.6 input / $3.6 output | Mistral 8x7B has the lower combined listed price. |
| Generation speedtokens per second | Mistral 8x7BNot available | Qwen3.5 397B (Reasoning)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral 8x7BNot available | Qwen3.5 397B (Reasoning)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral 8x7B32K | Qwen3.5 397B (Reasoning)128K | Qwen3.5 397B (Reasoning) lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Mistral 8x7B | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 33.7% | Not comparable |
| AA-GPQA DiamondSource | — | 89.3% | Not comparable |
| AA-HLESource | — | 27.3% | Not comparable |
| AA-Omniscience IndexSource | — | -29.8% | Not comparable |
| AA-Omniscience AccuracySource | — | 31.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 89.1% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Mistral 8x7B | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 77.3% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Mistral 8x7B | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 78.8% | Not comparable |
Frequently Asked Questions (3)
Can I compare Mistral 8x7B 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 8x7B and Qwen3.5 397B (Reasoning) today?
Mistral 8x7B: $0.00 input / $0.00 output per 1M tokens 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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