Model comparison
Mistral Small 4 vs Qwen3.5 Plus
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 Small 4 #140 (Estimated); Qwen3.5 Plus #138 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Small 4 and Qwen3.5 Plus share 0 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to Mistral Small 4; 4 to Qwen3.5 Plus.
Updated July 23, 2026- Shared results
- 0
- Mistral Small 4 only
- 16
- Qwen3.5 Plus only
- 4
- Comparable categories
- 0 / 8
Benchmark data for Mistral Small 4 and Qwen3.5 Plus 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Qwen3.5 Plus is priced at $0.40 input / $2.40 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for Mistral Small 4. Qwen3.5 Plus has the larger context window at 1M, compared with 256K for Mistral Small 4.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Small 4 | Qwen3.5 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Small 4$0.15 input / $0.6 output | Qwen3.5 Plus$0.4 input / $2.4 output | Mistral Small 4 has the lower combined listed price. |
| Generation speedtokens per second | Mistral Small 4175 tok/s | Qwen3.5 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Small 40.64 s | Qwen3.5 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Small 4256K | Qwen3.5 Plus1M | Qwen3.5 Plus lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Mistral Small 4 | Qwen3.5 Plus | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 19.6% | — | Not comparable |
| AA-GPQA DiamondSource | 76.9% | — | Not comparable |
| AA-HLESource | 9.5% | — | Not comparable |
| AA-Omniscience IndexSource | -29.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 22.1% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 66.8% | — | Not comparable |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | Mistral Small 4 | Qwen3.5 Plus | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 56.8% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Mistral Small 4 | Qwen3.5 Plus | Result |
|---|---|---|---|
| AA-IFBenchSource | 48.2% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Mistral Small 4 and Qwen3.5 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 Small 4 and Qwen3.5 Plus today?
Mistral Small 4: $0.15 input / $0.60 output per 1M tokens Qwen3.5 Plus: $0.40 input / $2.40 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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