Mistral Medium 3 vs Qwen3-235B-A22B
Mistral Medium 3 (2025) and Qwen3-235B-A22B (2025) are compact production models from MistralAI and Alibaba. Mistral Medium 3 ships a 128K-token context window, while Qwen3-235B-A22B ships a 128K-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.
Mistral Medium 3 is safer overall; choose Qwen3-235B-A22B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Mistral Medium 3 | Qwen3-235B-A22B |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Long context |
| Context window | 128K | 128K |
| Cheapest output | - | $1.2/1M tokens |
| Provider routes | 0 tracked | 4 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Medium 3 uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Mistral Medium 3 for Coding, RAG, and Agents.
- Qwen3-235B-A22B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Qwen3-235B-A22B for Coding, RAG, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Mistral Medium 3
Unavailable
No complete token price in local provider data
Qwen3-235B-A22B
$620
Cheapest tracked route: AWS Bedrock
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Mistral Medium 3 and Qwen3-235B-A22B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- No overlapping tracked provider route is sourced for Qwen3-235B-A22B and Mistral Medium 3; plan for SDK, billing, or endpoint changes.
- Mistral Medium 3 adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-01 | 2025-04-29 |
| Context window | 128K | 128K |
| Parameters | — | 235B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | 2025-03 | - |
Pricing and availability
| Pricing attribute | Mistral Medium 3 | Qwen3-235B-A22B |
|---|---|---|
| Input price | - | $0.4/1M tokens |
| Output price | - | $1.2/1M tokens |
| Providers | - |
Capabilities
| Capability | Mistral Medium 3 | Qwen3-235B-A22B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| 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, and code execution: Mistral Medium 3. Both models share structured outputs, 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 Qwen3-235B-A22B has $0.4/1M input tokens. Provider availability is 0 tracked routes versus 4. 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 Qwen3-235B-A22B when provider fit and broader provider choice 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 Qwen3-235B-A22B?
Mistral Medium 3 supports 128K tokens, while Qwen3-235B-A22B 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 Qwen3-235B-A22B open source?
Mistral Medium 3 is listed under Proprietary. Qwen3-235B-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 Qwen3-235B-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 Qwen3-235B-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 Qwen3-235B-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.
Where can I run Mistral Medium 3 and Qwen3-235B-A22B?
Mistral Medium 3 is available on the tracked providers still being sourced. Qwen3-235B-A22B is available on Fireworks AI, AWS Bedrock, OpenRouter, and Venice AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-20. Data sourced from public model cards and provider documentation.