Model comparison
Mistral Medium 3.5 128B vs Mistral Small 4 (Reasoning)
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Mistral Medium 3.5 128B and Mistral Small 4 (Reasoning) share 16 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to Mistral Medium 3.5 128B; 0 to Mistral Small 4 (Reasoning).
Updated July 27, 2026- Shared results
- 16
- Mistral Medium 3.5 128B only
- 9
- Mistral Small 4 (Reasoning) only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Mistral Medium 3.5 128B and Mistral Small 4 (Reasoning) 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.
Mistral Medium 3.5 128B is priced at $1.50 input / $7.50 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for Mistral Small 4 (Reasoning).
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 Medium 3.5 128B | Δ | Mistral Small 4 (Reasoning) |
|---|---|---|---|
| Coding | Mistral Medium 3.5 128B77.6 | MarginNo overlap | Mistral Small 4 (Reasoning)Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Medium 3.5 128B | Mistral Small 4 (Reasoning) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Medium 3.5 128B$1.5 input / $7.5 output | Mistral Small 4 (Reasoning)$0.15 input / $0.6 output | Mistral Small 4 (Reasoning) has the lower combined listed price. |
| Generation speedtokens per second | Mistral Medium 3.5 128BNot available | Mistral Small 4 (Reasoning)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Medium 3.5 128BNot available | Mistral Small 4 (Reasoning)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Medium 3.5 128B256K | Mistral Small 4 (Reasoning)256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Mistral Small 4 (Reasoning) | Result |
|---|---|---|---|
| τ³-bench resultsSource | 91.4% | — | Not comparable |
| AA Agentic IndexSource | 19.0% | 4.7% | Mistral Medium 3.5 128B leads |
| τ²-bench resultsSource | 94.2% | 41.2% | Mistral Medium 3.5 128B leads |
| GDPval-AASource | 21.6% | 4.6% | Mistral Medium 3.5 128B leads |
| GDPval-AASource | 933 | 592 | Mistral Medium 3.5 128B leads |
| Gert LabsSource | 39.10% | — | Not comparable |
| AA EnterpriseOps-GymSource | 33.7% | — | Not comparable |
| AA Harvey LABSource | 69.1% | — | Not comparable |
| terminalBenchHardSource | 33.3% | — | Not comparable |
| AA BriefcaseSource | 516 | — | Not comparable |
| AA Tau3 BankingSource | 14.4% | — | Not comparable |
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Mistral Small 4 (Reasoning) | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 29.9% | 19.6% | Mistral Medium 3.5 128B leads |
| AA-GPQA DiamondSource | 74.8% | 76.9% | Mistral Small 4 (Reasoning) leads |
| AA-HLESource | 12.8% | 9.5% | Mistral Medium 3.5 128B leads |
| AA-Omniscience IndexSource | -36.3% | -29.9% | Mistral Small 4 (Reasoning) leads |
| AA-Omniscience AccuracySource | 25.1% | 22.1% | Mistral Medium 3.5 128B leads |
| AA-Omniscience Hallucination RateSource | 82.0% | 66.8% | Mistral Small 4 (Reasoning) leads |
| AA Openness IndexSource | 33.3% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Mistral Small 4 (Reasoning) | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 64.9% | 56.8% | Mistral Medium 3.5 128B leads |
Inst. Following1 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Mistral Small 4 (Reasoning) | Result |
|---|---|---|---|
| AA-IFBenchSource | 68.8% | 48.2% | Mistral Medium 3.5 128B leads |
Frequently Asked Questions (3)
Can I compare Mistral Medium 3.5 128B and Mistral Small 4 (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 Medium 3.5 128B and Mistral Small 4 (Reasoning) today?
Mistral Medium 3.5 128B: $1.50 input / $7.50 output per 1M tokens Mistral Small 4 (Reasoning): $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.
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