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Mistral Medium 3.5 vs Qwen3.5-235B-A22B

Mistral Medium 3.5 (2026) and Qwen3.5-235B-A22B (2026) are frontier reasoning models from MistralAI and Alibaba. Mistral Medium 3.5 ships a 256K-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.

Mistral Medium 3.5 is safer overall; choose Qwen3.5-235B-A22B when long-context analysis matters.

Specs

Specification
Released2026-04-292026-02-24
Context window256K512k
Parameters128B235B
Architecturedecoder onlyMoE
LicenseMistral LicenseApache 2.0
Knowledge cutoff--

Pricing and availability

Pricing attributeMistral Medium 3.5Qwen3.5-235B-A22B
Input price$1.5/1M tokens-
Output price$7.5/1M tokens-
Providers-

Capabilities

CapabilityMistral Medium 3.5Qwen3.5-235B-A22B
VisionYesNo
MultimodalYesNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Mistral Medium 3.5, multimodal input: Mistral Medium 3.5, reasoning mode: Mistral Medium 3.5, function calling: Mistral Medium 3.5, tool use: Mistral Medium 3.5, and structured outputs: Mistral Medium 3.5. 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 3.5 has $1.5/1M input tokens and Qwen3.5-235B-A22B has no token price sourced yet. Provider availability is 1 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 3.5 when reasoning depth and broader provider choice 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 3.5 or Qwen3.5-235B-A22B?

Qwen3.5-235B-A22B supports 512k tokens, while Mistral Medium 3.5 supports 256K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Mistral Medium 3.5 or Qwen3.5-235B-A22B open source?

Mistral Medium 3.5 is listed under Mistral License. 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 3.5 or Qwen3.5-235B-A22B?

Mistral Medium 3.5 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 3.5 or Qwen3.5-235B-A22B?

Mistral Medium 3.5 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 reasoning mode, Mistral Medium 3.5 or Qwen3.5-235B-A22B?

Mistral Medium 3.5 has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 3.5 and Qwen3.5-235B-A22B?

Mistral Medium 3.5 is available on Mistral AI Studio. Qwen3.5-235B-A22B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-05. Data sourced from public model cards and provider documentation.