Model comparison
Mistral Medium 3.5 128B vs Qwen3 Max
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mistral Medium 3.5 128B unranked (Not scored); Qwen3 Max #135 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Medium 3.5 128B and Qwen3 Max share 12 comparable benchmark results. 0 of 8 categories are comparable. 13 results are unique to Mistral Medium 3.5 128B; 2 to Qwen3 Max.
Updated July 27, 2026- Shared results
- 12
- Mistral Medium 3.5 128B only
- 13
- Qwen3 Max only
- 2
- Comparable categories
- 0 / 8
Benchmark data for Mistral Medium 3.5 128B and Qwen3 Max is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 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.
Qwen3 Max has the larger context window at 1M, compared with 256K for Mistral Medium 3.5 128B.
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 | Qwen3 Max |
|---|---|---|---|
| Coding | Mistral Medium 3.5 128B77.6 | MarginNo overlap | Qwen3 MaxNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Medium 3.5 128B | Qwen3 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Medium 3.5 128B$1.5 input / $7.5 output | Qwen3 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Mistral Medium 3.5 128BNot available | Qwen3 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Medium 3.5 128BNot available | Qwen3 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Medium 3.5 128B256K | Qwen3 Max1M | Qwen3 Max lists the larger context window. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Qwen3 Max | Result |
|---|---|---|---|
| τ³-bench resultsSource | 91.4% | — | Not comparable |
| AA Agentic IndexSource | 19.0% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | 74.3% | Mistral Medium 3.5 128B leads |
| GDPval-AASource | 21.6% | — | Not comparable |
| GDPval-AASource | 933 | — | Not comparable |
| Gert LabsSource | 39.10% | 43.74% | Qwen3 Max leads |
| 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 |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Qwen3 Max | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 29.9% | 24.0% | Mistral Medium 3.5 128B leads |
| AA-GPQA DiamondSource | 74.8% | 76.4% | Qwen3 Max leads |
| AA-HLESource | 12.8% | 11.1% | Mistral Medium 3.5 128B leads |
| AA-Omniscience IndexSource | -36.3% | -43.1% | Mistral Medium 3.5 128B leads |
| AA-Omniscience AccuracySource | 25.1% | 24.4% | Mistral Medium 3.5 128B leads |
| AA-Omniscience Hallucination RateSource | 82.0% | 89.4% | Mistral Medium 3.5 128B leads |
| AA Openness IndexSource | 33.3% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Qwen3 Max | Result |
|---|---|---|---|
| AA-IFBenchSource | 68.8% | 44.1% | Mistral Medium 3.5 128B leads |
Frequently Asked Questions (3)
Can I compare Mistral Medium 3.5 128B and Qwen3 Max 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 Qwen3 Max today?
Mistral Medium 3.5 128B: $1.50 input / $7.50 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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