Mistral Large 3 675B Instruct vs Qwen3-235B-A22B
Mistral Large 3 675B Instruct (2025) and Qwen3-235B-A22B (2025) are compact production models from MistralAI and Alibaba. Mistral Large 3 675B Instruct ships a 128K-token context window, while Qwen3-235B-A22B ships a 128K-token context window. On MMLU PRO, Mistral Large 3 675B Instruct leads by 2.7 pts. On pricing, Qwen3-235B-A22B costs $0.4/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Large 3 675B Instruct is safer overall; choose Qwen3-235B-A22B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Mistral Large 3 675B Instruct | Qwen3-235B-A22B |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Long context |
| Context window | 128K | 128K |
| Cheapest output | $1.5/1M tokens | $1.2/1M tokens |
| Provider routes | 4 tracked | 4 tracked |
| Shared benchmarks | MMLU PRO leader | 4 rows |
Decision tradeoffs
- Mistral Large 3 675B Instruct leads the largest shared benchmark signal on MMLU PRO by 2.7 points.
- Local decision data tags Mistral Large 3 675B Instruct for Coding, RAG, and Agents.
- Qwen3-235B-A22B leads the largest shared benchmark signal on Google-Proof Q&A by 42.2 points.
- Qwen3-235B-A22B has the lower cheapest tracked output price at $1.2/1M tokens.
- 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 Large 3 675B Instruct
$775
Cheapest tracked route: AWS Bedrock
Qwen3-235B-A22B
$620
Cheapest tracked route: AWS Bedrock
Estimated monthly gap: $155. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Qwen3-235B-A22B is $0.3/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Mistral Large 3 675B Instruct is $0.3/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2025-04-29 |
| Context window | 128K | 128K |
| Parameters | 675B | 235B |
| Architecture | decoder only | decoder only |
| License | 1 | Apache 2.0 |
| Knowledge cutoff | 2024-11 | - |
Pricing and availability
| Pricing attribute | Mistral Large 3 675B Instruct | Qwen3-235B-A22B |
|---|---|---|
| Input price | $0.5/1M tokens | $0.4/1M tokens |
| Output price | $1.5/1M tokens | $1.2/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Large 3 675B Instruct | Qwen3-235B-A22B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
| Benchmark | Mistral Large 3 675B Instruct | Qwen3-235B-A22B |
|---|---|---|
| MMLU PRO | 85.5 | 82.8 |
| Google-Proof Q&A | 43.9 | 86.1 |
| HumanEval | 92.0 | 92.7 |
| LiveCodeBench | 82.8 | 80.4 |
Deep dive
On shared benchmark coverage, MMLU PRO has Mistral Large 3 675B Instruct at 85.5 and Qwen3-235B-A22B at 82.8, with Mistral Large 3 675B Instruct ahead by 2.7 points; Google-Proof Q&A has Mistral Large 3 675B Instruct at 43.9 and Qwen3-235B-A22B at 86.1, with Qwen3-235B-A22B ahead by 42.2 points; HumanEval has Mistral Large 3 675B Instruct at 92 and Qwen3-235B-A22B at 92.7, with Qwen3-235B-A22B ahead by 0.7 points. The largest visible gap is 42.2 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint is close: both models cover structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Mistral Large 3 675B Instruct lists $0.5/1M input and $1.5/1M 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 $0.16 per million blended tokens. Availability is 4 providers versus 4, so concentration risk also matters.
Choose Mistral Large 3 675B Instruct when provider fit are central to the workload. Choose Qwen3-235B-A22B when provider fit and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Mistral Large 3 675B Instruct or Qwen3-235B-A22B?
Mistral Large 3 675B 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 Large 3 675B Instruct or Qwen3-235B-A22B?
Qwen3-235B-A22B is cheaper on tracked token pricing. Mistral Large 3 675B Instruct costs $0.5/1M input and $1.5/1M 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 Large 3 675B Instruct or Qwen3-235B-A22B open source?
Mistral Large 3 675B 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 Large 3 675B Instruct or Qwen3-235B-A22B?
Both Mistral Large 3 675B Instruct and Qwen3-235B-A22B expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Mistral Large 3 675B Instruct and Qwen3-235B-A22B?
Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, Mistral AI Studio, and Microsoft Foundry. 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 Large 3 675B Instruct over Qwen3-235B-A22B?
Mistral Large 3 675B Instruct is safer overall; choose Qwen3-235B-A22B when provider fit matters. If your workload also depends on provider fit, start with Mistral Large 3 675B 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.