Mistral Medium 3.5 128B vs Qwen3.7 Max
At a Glance
| Compare |  Mistral Medium 3.5 128BMistral AI |  Qwen3.7 MaxQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #13 of 44$0.057 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.475Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $4.425Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 262K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Mistral-Medium-3.5-128B | Qwen3.7 Max |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -10.8892% of row best · score · Mistral Medium 3.5; 95% CI [-12.33636331, -9.41760729]; sessions 10244; observations 358935; rank 43 | -3.63100% of row best · score · Qwen3.7 Max; 95% CI [-4.47002493, -2.78058186]; sessions 38392; observations 1816729; rank 34 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Mistral-Medium-3.5-128B | Qwen3.7 Max |
|---|---|---|
| Developer | Mistral AI | Qwen |
| Family | Mistral Medium 3 5 128b | Qwen3 7 |
| Model | Mistral-Medium-3.5-128B | Qwen3.7 Max |
| Version | Mistral-Medium-3.5-128B | Qwen3.7 Max |
| Lifecycle | active | active |
| Released | Unknown | 2026-05-20 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 262K | 1,000K |
| Total parameters | 127.7B | Unknown |
| Active parameters | Unknown | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, generation, reasoning, structured_outputs, tools, vision |
Mistral Medium 3.5 128B Capabilities
Qwen3.7 Max Capabilities
Related Comparisons
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|---|---|---|---|
Mistral-Medium-3.5-128BMistral AI | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Mistral-Medium-3.5-128BMistral AI | cross-developer peersimage, text |
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Mistral-Medium-3.5-128BMistral AI | vs | Grok 4.6xAI | cross-developer peersimage, text |
Mistral-Medium-3.5-128BMistral AI | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text |
Mistral-Medium-3.5-128BMistral AI | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Mistral-Medium-3.5-128BMistral AI | cross-developer peersimage, text |
Mistral-Medium-3.5-128BMistral AI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Mistral-Medium-3.5-128BMistral AI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Mistral-Medium-3.5-128BMistral AI | cross-developer peersimage, text |
Mistral-Medium-3.5-128BMistral AI | vs | Mistral Large 3Mistral AI | family variantsimage, text |
Primary Evidence
Sources and Freshness
Questions
Mistral Medium 3.5 128B vs Qwen3.7 Max FAQs
Is Mistral Medium 3.5 128B or Qwen3.7 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Medium 3.5 128B and Qwen3.7 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Mistral Medium 3.5 128B or Qwen3.7 Max?+
Only Qwen3.7 Max has a directly sourced input price: $1.475 per million tokens. Only Qwen3.7 Max has a directly sourced output price: $4.425 per million tokens.
Which has a larger context window, Mistral Medium 3.5 128B or Qwen3.7 Max?+
Qwen3.7 Max has the larger sourced context window. Mistral Medium 3.5 128B supports 262K and Qwen3.7 Max supports 1,000K.
Which performs better in benchmarks, Mistral Medium 3.5 128B or Qwen3.7 Max?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Mistral Medium 3.5 128B or Qwen3.7 Max be self-hosted?+
Mistral Medium 3.5 128B is the only model in this pair currently marked as self-hostable. Mistral Medium 3.5 128B is open weight; Qwen3.7 Max is not marked open weight.
Can Mistral Medium 3.5 128B and Qwen3.7 Max understand images?+
Mistral Medium 3.5 128B is documented with image input; Qwen3.7 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Mistral Medium 3.5 128B or Qwen3.7 Max?+
Neither has a larger sourced maximum output. Mistral Medium 3.5 128B is — and Qwen3.7 Max is 66K.
Do Mistral Medium 3.5 128B and Qwen3.7 Max support reasoning and tool use?+
Mistral Medium 3.5 128B: reasoning, tool calling, and image input. Qwen3.7 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral Medium 3.5 128B or Qwen3.7 Max?+
Mistral Medium 3.5 128B has 0 sourced provider routes; Qwen3.7 Max has 4, so Qwen3.7 Max has broader tracked availability.
Which offers better value, Mistral Medium 3.5 128B or Qwen3.7 Max?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.