LLM Reference

Mistral Medium 3 Instruct vs Qwen3-235B-A22B

Mistral Medium 3 Instruct (2025) and Qwen3-235B-A22B (2025) are compact production models from MistralAI and Alibaba. Mistral Medium 3 Instruct ships a 128K-token context window, while Qwen3-235B-A22B ships a 128K-token context window. On pricing, Mistral Medium 3 Instruct costs $0.4/1M input tokens versus $0.4/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Mistral Medium 3 Instruct is safer overall; choose Qwen3-235B-A22B when provider fit matters.

Decision scorecard

Local evidence first
SignalMistral Medium 3 InstructQwen3-235B-A22B
Decision fitLong contextCoding, RAG, and Long context
Context window128K128K
Cheapest output$2/1M tokens$1.2/1M tokens
Provider routes2 tracked4 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Mistral Medium 3 Instruct when...
  • Local decision data tags Mistral Medium 3 Instruct for Long context.
Choose Qwen3-235B-A22B when...
  • Qwen3-235B-A22B has the lower cheapest tracked output price at $1.2/1M tokens.
  • Qwen3-235B-A22B has broader tracked provider coverage for fallback and procurement flexibility.
  • Qwen3-235B-A22B uniquely exposes Structured outputs in local model data.
  • 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.

Lower estimate Qwen3-235B-A22B

Mistral Medium 3 Instruct

$820

Cheapest tracked route: Mistral AI Studio

Qwen3-235B-A22B

$620

Cheapest tracked route: AWS Bedrock

Estimated monthly gap: $200. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Mistral Medium 3 Instruct -> Qwen3-235B-A22B
  • No overlapping tracked provider route is sourced for Mistral Medium 3 Instruct and Qwen3-235B-A22B; plan for SDK, billing, or endpoint changes.
  • Qwen3-235B-A22B is $0.8/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Qwen3-235B-A22B adds Structured outputs in local capability data.
Qwen3-235B-A22B -> Mistral Medium 3 Instruct
  • No overlapping tracked provider route is sourced for Qwen3-235B-A22B and Mistral Medium 3 Instruct; plan for SDK, billing, or endpoint changes.
  • Mistral Medium 3 Instruct is $0.8/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Structured outputs before moving production traffic.

Specs

Specification
Released2025-10-012025-04-29
Context window128K128K
Parameters235B
Architecturedecoder onlydecoder only
License1Apache 2.0
Knowledge cutoff2025-03-

Pricing and availability

Pricing attributeMistral Medium 3 InstructQwen3-235B-A22B
Input price$0.4/1M tokens$0.4/1M tokens
Output price$2/1M tokens$1.2/1M tokens
Providers

Capabilities

CapabilityMistral Medium 3 InstructQwen3-235B-A22B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: Qwen3-235B-A22B. 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.

For cost, Mistral Medium 3 Instruct lists $0.4/1M input and $2/1M output tokens, while Qwen3-235B-A22B lists $0.4/1M input and $1.2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3-235B-A22B lower by about $0.24 per million blended tokens. Availability is 2 providers versus 4, so concentration risk also matters.

Choose Mistral Medium 3 Instruct when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, Mistral Medium 3 Instruct or Qwen3-235B-A22B?

Mistral Medium 3 Instruct 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.

Which is cheaper, Mistral Medium 3 Instruct or Qwen3-235B-A22B?

Mistral Medium 3 Instruct is cheaper on tracked token pricing. Mistral Medium 3 Instruct costs $0.4/1M input and $2/1M output tokens. Qwen3-235B-A22B costs $0.4/1M input and $1.2/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Mistral Medium 3 Instruct or Qwen3-235B-A22B open source?

Mistral Medium 3 Instruct is listed under 1. 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 structured outputs, Mistral Medium 3 Instruct or Qwen3-235B-A22B?

Qwen3-235B-A22B has the clearer documented structured outputs signal in this comparison. If structured outputs 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 Instruct and Qwen3-235B-A22B?

Mistral Medium 3 Instruct is available on NVIDIA NIM and Mistral AI Studio. 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.

When should I pick Mistral Medium 3 Instruct over Qwen3-235B-A22B?

Mistral Medium 3 Instruct is safer overall; choose Qwen3-235B-A22B when provider fit matters. If your workload also depends on provider fit, start with Mistral Medium 3 Instruct; if it depends on provider fit, run the same evaluation with Qwen3-235B-A22B.

Continue comparing

Last reviewed: 2026-05-20. Data sourced from public model cards and provider documentation.