DeepSeek V4 Pro vs Mistral Large 2
DeepSeek V4 Pro (2026) and Mistral Large 2 (2025) are frontier reasoning models from DeepSeek and MistralAI. DeepSeek V4 Pro ships a 1M-token context window, while Mistral Large 2 ships a 128K-token context window. On MMLU PRO, DeepSeek V4 Pro leads by 17.8 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
DeepSeek V4 Pro fits 8x more tokens; pick it for long-context work and Mistral Large 2 for tighter calls.
Specs
| Released | 2026-04-24 | 2025-11-25 |
| Context window | 1M | 128K |
| Parameters | 1.6T | 123B |
| Architecture | mixture of experts | decoder only |
| License | MIT | True |
| Knowledge cutoff | - | 2025-07 |
Pricing and availability
| DeepSeek V4 Pro | Mistral Large 2 | |
|---|---|---|
| Input price | - | $0.48/1M tokens |
| Output price | - | $2.4/1M tokens |
| Providers | - |
Capabilities
| DeepSeek V4 Pro | Mistral Large 2 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | DeepSeek V4 Pro | Mistral Large 2 |
|---|---|---|
| MMLU PRO | 87.5 | 69.7 |
| Massive Multitask Language Understanding | 90.1 | 84.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek V4 Pro at 87.5 and Mistral Large 2 at 69.7, with DeepSeek V4 Pro ahead by 17.8 points; Massive Multitask Language Understanding has DeepSeek V4 Pro at 90.1 and Mistral Large 2 at 84, with DeepSeek V4 Pro ahead by 6.1 points. The largest visible gap is 17.8 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 2, multimodal input: Mistral Large 2, and reasoning mode: DeepSeek V4 Pro. Both models share function calling, tool use, and 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: DeepSeek V4 Pro has no token price sourced yet and Mistral Large 2 has $0.48/1M 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 DeepSeek V4 Pro when reasoning depth and larger context windows are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation 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.
FAQ
Which has a larger context window, DeepSeek V4 Pro or Mistral Large 2?
DeepSeek V4 Pro supports 1M tokens, while Mistral Large 2 supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek V4 Pro or Mistral Large 2 open source?
DeepSeek V4 Pro is listed under MIT. Mistral Large 2 is listed under True. 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, DeepSeek V4 Pro or Mistral Large 2?
Mistral Large 2 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, DeepSeek V4 Pro or Mistral Large 2?
Mistral Large 2 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, DeepSeek V4 Pro or Mistral Large 2?
DeepSeek V4 Pro 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 DeepSeek V4 Pro and Mistral Large 2?
DeepSeek V4 Pro is available on the tracked providers still being sourced. Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.