Mistral Large 3 675B Instruct vs Qwen2.5-72B
Mistral Large 3 675B Instruct (2025) and Qwen2.5-72B (2025) are compact production models from MistralAI and Alibaba. Mistral Large 3 675B Instruct ships a 128k-token context window, while Qwen2.5-72B ships a 128k-token context window. On MMLU PRO, Mistral Large 3 675B Instruct leads by 13.5 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Large 3 675B Instruct is safer overall; choose Qwen2.5-72B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Mistral Large 3 675B Instruct | Qwen2.5-72B |
|---|---|---|
| Best for | multimodal apps and provider-routed production | tool-calling agents |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 128k | 128k |
| Cheapest output | $1.50/1M tokens | - |
| Provider routes | 5 tracked | 0 tracked |
| Shared benchmarks | MMLU PRO leader | 1 rows |
Decision tradeoffs
- Mistral Large 3 675B Instruct holds a shared-benchmark lead on MMLU PRO, ahead by 13.5 points.
- Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 3 675B Instruct uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Mistral Large 3 675B Instruct for Coding, RAG, and Agents.
- Qwen2.5-72B uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Qwen2.5-72B for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: AWS Bedrock
Qwen2.5-72B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Mistral Large 3 675B Instruct and Qwen2.5-72B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
- Qwen2.5-72B adds Function calling and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Qwen2.5-72B and Mistral Large 3 675B Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- Mistral Large 3 675B Instruct adds Vision, Multimodal, and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2025-10-10 |
| Context window | 128k | 128k |
| Parameters | 675B | 72B |
| Architecture | decoder only | - |
| License | Mistral License | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Non-commercial only | Commercial use allowed |
| Knowledge cutoff | 2024-11 | 2024-09 |
Pricing and availability
| Pricing attribute | Mistral Large 3 675B Instruct | Qwen2.5-72B |
|---|---|---|
| Input price | $0.50/1M tokens | - |
| Output price | $1.50/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Mistral Large 3 675B Instruct | Qwen2.5-72B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Mistral Large 3 675B Instruct | Qwen2.5-72B |
|---|---|---|
| MMLU PRO | 85.5 | 72.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has Mistral Large 3 675B Instruct at 85.5 and Qwen2.5-72B at 72, with Mistral Large 3 675B Instruct ahead by 13.5 points. The largest visible gap is 13.5 points on MMLU PRO, 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 differs most on vision: Mistral Large 3 675B Instruct, multimodal input: Mistral Large 3 675B Instruct, function calling: Qwen2.5-72B, tool use: Qwen2.5-72B, and structured outputs: Mistral Large 3 675B Instruct. 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 Large 3 675B Instruct has $0.50/1M input tokens and Qwen2.5-72B has no token price sourced yet. Provider availability is 5 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 Large 3 675B Instruct when vision-heavy evaluation and broader provider choice are central to the workload. Choose Qwen2.5-72B when provider fit 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 Qwen2.5-72B?
Mistral Large 3 675B Instruct supports 128k tokens, while Qwen2.5-72B 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 Large 3 675B Instruct or Qwen2.5-72B open source?
Mistral Large 3 675B Instruct is listed under Mistral License. Qwen2.5-72B 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 Large 3 675B Instruct or Qwen2.5-72B?
Mistral Large 3 675B Instruct 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 Large 3 675B Instruct or Qwen2.5-72B?
Mistral Large 3 675B Instruct 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 Large 3 675B Instruct or Qwen2.5-72B?
Qwen2.5-72B 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 Large 3 675B Instruct and Qwen2.5-72B?
Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, Mistral AI Studio, Microsoft Foundry, and Vercel AI Gateway. Qwen2.5-72B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.