Mistral Medium 3 vs Qwen3.5-235B-A22B
Mistral Medium 3 (2025) and Qwen3.5-235B-A22B (2026) are compact production models from MistralAI and Alibaba. Mistral Medium 3 ships a 128K-token context window, while Qwen3.5-235B-A22B ships a 512k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Qwen3.5-235B-A22B fits 4x more tokens; pick it for long-context work and Mistral Medium 3 for tighter calls.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-01 | 2026-02-24 |
| Context window | 128K | 512k |
| Parameters | — | 235B |
| Architecture | decoder only | MoE |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Mistral Medium 3 | Qwen3.5-235B-A22B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Mistral Medium 3 | Qwen3.5-235B-A22B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Medium 3, multimodal input: Mistral Medium 3, function calling: Mistral Medium 3, tool use: Mistral Medium 3, structured outputs: Mistral Medium 3, and code execution: Mistral Medium 3. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Mistral Medium 3 has no token price sourced yet and Qwen3.5-235B-A22B has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Mistral Medium 3 when coding workflow support are central to the workload. Choose Qwen3.5-235B-A22B when long-context analysis and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Mistral Medium 3 or Qwen3.5-235B-A22B?
Qwen3.5-235B-A22B supports 512k tokens, while Mistral Medium 3 supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Mistral Medium 3 or Qwen3.5-235B-A22B open source?
Mistral Medium 3 is listed under Proprietary. Qwen3.5-235B-A22B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Mistral Medium 3 or Qwen3.5-235B-A22B?
Mistral Medium 3 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Mistral Medium 3 or Qwen3.5-235B-A22B?
Mistral Medium 3 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, Mistral Medium 3 or Qwen3.5-235B-A22B?
Mistral Medium 3 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
When should I pick Mistral Medium 3 over Qwen3.5-235B-A22B?
Qwen3.5-235B-A22B fits 4x more tokens; pick it for long-context work and Mistral Medium 3 for tighter calls. If your workload also depends on coding workflow support, start with Mistral Medium 3; if it depends on long-context analysis, run the same evaluation with Qwen3.5-235B-A22B.
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Last reviewed: 2026-05-05. Data sourced from public model cards and provider documentation.