DeepSeek V4 Pro vs Mistral Large 2 (2407)
DeepSeek V4 Pro (2026) and Mistral Large 2 (2407) (2024) are frontier reasoning models from DeepSeek and MistralAI. DeepSeek V4 Pro ships a 1M-token context window, while Mistral Large 2 (2407) ships a 128K-token context window. On MMLU PRO, DeepSeek V4 Pro leads by 21.6 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Pick DeepSeek V4 Pro for general evaluation; Mistral Large 2 (2407) is better when provider fit matters more.
Decision scorecard
Local evidence first| Signal | DeepSeek V4 Pro | Mistral Large 2 (2407) |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and long-context analysis | tool-calling agents and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1M | 128K |
| Cheapest output | $0.87/1M tokens | $1.50/1M tokens |
| Provider routes | 6 tracked | 7 tracked |
| Shared benchmarks | MMLU PRO leader | 4 shared |
Decision tradeoffs
- DeepSeek V4 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 21.6 points.
- DeepSeek V4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V4 Pro has the lower cheapest tracked output price at $0.87/1M tokens.
- DeepSeek V4 Pro uniquely exposes Reasoning in local model data.
- Local decision data tags DeepSeek V4 Pro for Coding, RAG, and Agents.
- Mistral Large 2 (2407) holds a shared-benchmark lead on HumanEval, ahead by 15.2 points.
- Mistral Large 2 (2407) has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Mistral Large 2 (2407) for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V4 Pro
$566
Cheapest tracked route/tier: DeepSeek Platform
Mistral Large 2 (2407)
$775
Cheapest tracked route/tier: Chutes AI
Estimated monthly gap: $210. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Mistral Large 2 (2407) is $0.63/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- DeepSeek V4 Pro is $0.63/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- DeepSeek V4 Pro adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-24 | 2024-07-24 |
| Context window | 1M | 128K |
| Parameters | 1.6T | 123B |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Mistral License |
| Openness | Open source | Open weights |
| Weights | Available | Available |
| Code | Unknown | Unknown |
| Commercial use | Permitted | Not permitted |
| Knowledge cutoff | - | 2024-03 |
Pricing and availability
| Pricing attribute | DeepSeek V4 Pro | Mistral Large 2 (2407) |
|---|---|---|
| Input price | $0.43/1M tokens | $0.50/1M tokens |
| Output price | $0.87/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V4 Pro | Mistral Large 2 (2407) |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V4 Pro | Mistral Large 2 (2407) |
|---|---|---|
| MMLU PRO | 87.5 | 65.9 |
| HumanEval | 76.8 | 92.0 |
| Chatbot Arena | 1456.0 | 1266.0 |
| 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 (2407) at 65.9, with DeepSeek V4 Pro ahead by 21.6 points; HumanEval has DeepSeek V4 Pro at 76.8 and Mistral Large 2 (2407) at 92, with Mistral Large 2 (2407) ahead by 15.2 points; Chatbot Arena has DeepSeek V4 Pro at 1456 and Mistral Large 2 (2407) at 1266, with DeepSeek V4 Pro ahead by 190 points. The largest visible gap is 190 points on Chatbot Arena, 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 reasoning mode: DeepSeek V4 Pro and JSON / Tool use: DeepSeek V4 Pro. Both models share JSON / 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.
For cost, DeepSeek V4 Pro lists $0.43/1M input and $0.87/1M output tokens on the cheapest tracked provider, while Mistral Large 2 (2407) lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V4 Pro lower by about $0.23 per million blended tokens. Availability is 6 providers versus 7, so concentration risk also matters.
Choose DeepSeek V4 Pro when reasoning depth, larger context windows, and lower input-token cost are central to the workload. Choose Mistral Large 2 (2407) 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.
FAQ
Which has a larger context window, DeepSeek V4 Pro or Mistral Large 2 (2407)?
DeepSeek V4 Pro supports 1M tokens, while Mistral Large 2 (2407) 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, DeepSeek V4 Pro or Mistral Large 2 (2407)?
DeepSeek V4 Pro is cheaper on tracked token pricing. DeepSeek V4 Pro costs $0.43/1M input and $0.87/1M output tokens. Mistral Large 2 (2407) costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V4 Pro or Mistral Large 2 (2407) open source?
DeepSeek V4 Pro is listed under MIT. Mistral Large 2 (2407) is listed under Mistral License. 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 reasoning mode, DeepSeek V4 Pro or Mistral Large 2 (2407)?
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.
Which is better for JSON / Tool use, DeepSeek V4 Pro or Mistral Large 2 (2407)?
Both DeepSeek V4 Pro and Mistral Large 2 (2407) expose JSON / Tool use. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run DeepSeek V4 Pro and Mistral Large 2 (2407)?
DeepSeek V4 Pro is available on DeepSeek Platform, Fireworks AI, OpenRouter, Vercel AI Gateway, and Novita AI. Mistral Large 2 (2407) is available on Microsoft Foundry, IBM watsonx, OpenRouter, AWS Bedrock, and Chutes AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-10-17. Data sourced from public model cards and provider documentation.