Model comparison
Mistral Small 4 vs Qwen3.6-35B-A3B
Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Mistral Small 4 unranked; Qwen3.6-35B-A3B #31
BenchAlign evidence: Mistral Small 4 estimated; Qwen3.6-35B-A3B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Small 4 and Qwen3.6-35B-A3B share 17 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Mistral Small 4; 41 to Qwen3.6-35B-A3B.
Updated July 15, 2026- Shared results
- 17
- Mistral Small 4 only
- 0
- Qwen3.6-35B-A3B only
- 41
- Comparable categories
- 0 / 8
Benchmark data for Mistral Small 4 and Qwen3.6-35B-A3B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 17 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.
Qwen3.6-35B-A3B has the larger context window at 262K, compared with 256K for Mistral Small 4.
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 Small 4 | Δ | Qwen3.6-35B-A3B |
|---|---|---|---|
| Agentic | Mistral Small 4Not measured | MarginNo overlap | Qwen3.6-35B-A3B51.5 |
| Coding | Mistral Small 4Not measured | MarginNo overlap | Qwen3.6-35B-A3B73.8 |
| Knowledge | Mistral Small 4Not measured | MarginNo overlap | Qwen3.6-35B-A3B51.8 |
| Math | Mistral Small 4Not measured | MarginNo overlap | Qwen3.6-35B-A3B88.2 |
| Multimodal | Mistral Small 4Not measured | MarginNo overlap | Qwen3.6-35B-A3B76.3 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Small 4 | Qwen3.6-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Small 4$0.15 input / $0.6 output | Qwen3.6-35B-A3BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Mistral Small 4175 tok/s | Qwen3.6-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Small 40.64 s | Qwen3.6-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Small 4256K | Qwen3.6-35B-A3B262K | Qwen3.6-35B-A3B lists the larger context window. |
Benchmark Deep Dive
Agentic15 benchmarks
| Benchmark | Mistral Small 4 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA Agentic IndexSource | 4.7% | 21.4% | Qwen3.6-35B-A3B leads |
| τ²-bench resultsSource | 41.2% | 95.3% | Qwen3.6-35B-A3B leads |
| GDPval-AASource | 4.4% | 27.4% | Qwen3.6-35B-A3B leads |
| GDPval-AASource | 588 | 1049 | Qwen3.6-35B-A3B leads |
| Terminal-Bench 2.0Source | — | 51.5% | Not comparable |
| Claw-EvalSource | — | 68.7% | Not comparable |
| QwenClawBenchSource | — | 52.6% | Not comparable |
| QwenWebBenchSource | — | 1397 | Not comparable |
| τ³-bench resultsSource | — | 67.2% | Not comparable |
| VITA-BenchSource | — | 35.6% | Not comparable |
| DeepPlanningSource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 26.9% | Not comparable |
| MCP AtlasSource | — | 62.8% | Not comparable |
| WideResearchSource | — | 60.1% | Not comparable |
| Gert LabsSource | — | 42.65% | Not comparable |
Coding9 benchmarks
| Benchmark | Mistral Small 4 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA Coding IndexSource | 26.6% | 41.9% | Qwen3.6-35B-A3B leads |
| Terminal-Bench HardSource | 17.4% | 34.8% | Qwen3.6-35B-A3B leads |
| AA-SciCodeSource | 38.0% | 35.8% | Mistral Small 4 leads |
| SWE-bench VerifiedSource | — | 73.4% | Not comparable |
| SWE MultilingualSource | — | 67.2% | Not comparable |
| SWE-bench ProSource | — | 49.5% | Not comparable |
| Terminal-Bench 2.0Source | — | 51.5% | Not comparable |
| LiveCodeBenchSource | — | 80.4% | Not comparable |
| NL2RepoSource | — | 29.4% | Not comparable |
Reasoning2 benchmarks
Knowledge11 benchmarks
| Benchmark | Mistral Small 4 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 19.6% | 31.6% | Qwen3.6-35B-A3B leads |
| AA-GPQA DiamondSource | 76.9% | 84.1% | Qwen3.6-35B-A3B leads |
| AA-HLESource | 9.5% | 20.2% | Qwen3.6-35B-A3B leads |
| AA-Omniscience IndexSource | -29.9% | -21.4% | Qwen3.6-35B-A3B leads |
| AA-Omniscience AccuracySource | 22.1% | 18.9% | Mistral Small 4 leads |
| AA-Omniscience Hallucination RateSource | 66.8% | 49.7% | Qwen3.6-35B-A3B leads |
| MMLU-ProSource | — | 85.2% | Not comparable |
| SuperGPQASource | — | 64.7% | Not comparable |
| C-EvalSource | — | 90% | Not comparable |
| GPQASource | — | 86% | Not comparable |
| HLESource | — | 21.4% | Not comparable |
Math5 benchmarks
Multimodal15 benchmarks
| Benchmark | Mistral Small 4 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 56.8% | 75.0% | Qwen3.6-35B-A3B leads |
| MMMUSource | — | 81.7% | Not comparable |
| MMMU-ProSource | — | 75.3% | Not comparable |
| RealWorldQASource | — | 85.3% | Not comparable |
| OmniDocBench 1.5Source | — | 89.9% | Not comparable |
| CharXivSource | — | 78% | Not comparable |
| SimpleVQASource | — | 58.9% | Not comparable |
| CC-OCRSource | — | 81.9% | Not comparable |
| AI2D_TESTSource | — | 92.7% | Not comparable |
| RefCOCO (avg)Source | — | 92.0% | Not comparable |
| ODINW13Source | — | 50.8% | Not comparable |
| Video-MME (with subtitle)Source | — | 86.6% | Not comparable |
| Video-MME (w/o subtitle)Source | — | 82.5% | Not comparable |
| VideoMMMUSource | — | 83.7% | Not comparable |
| MLVU (M-Avg)Source | — | 86.2% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Mistral Small 4 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | 48.2% | 64.4% | Qwen3.6-35B-A3B leads |
Frequently Asked Questions (3)
Can I compare Mistral Small 4 and Qwen3.6-35B-A3B 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 Small 4 and Qwen3.6-35B-A3B today?
Mistral Small 4: $0.15 input / $0.60 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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