DeepSeek V4 Pro vs Mistral Large 2.1 (2411)
DeepSeek V4 Pro (2026) and Mistral Large 2.1 (2411) (2024) are frontier reasoning models from DeepSeek and MistralAI. DeepSeek V4 Pro ships a 1M-token context window, while Mistral Large 2.1 (2411) ships a 128K-token context window. On MMLU PRO, DeepSeek V4 Pro leads by 19.6 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
DeepSeek V4 Pro fits 8x more tokens; pick it for long-context work and Mistral Large 2.1 (2411) for tighter calls.
Decision scorecard
Local evidence first| Signal | DeepSeek V4 Pro | Mistral Large 2.1 (2411) |
|---|---|---|
| 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 | RAG, Agents, and Long context |
| Context window | 1M | 128K |
| Cheapest output | $0.73/1M tokens | $6/1M tokens |
| Provider routes | 6 tracked | 4 tracked |
| Shared benchmarks | MMLU PRO leader | 2 shared |
Decision tradeoffs
- DeepSeek V4 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 19.6 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 $0.73/1M tokens.
- DeepSeek V4 Pro has broader tracked provider coverage for fallback and route flexibility.
- DeepSeek V4 Pro uniquely exposes Reasoning in local model data.
- Local decision data tags Mistral Large 2.1 (2411) 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.
DeepSeek V4 Pro
$472
Cheapest tracked route/tier: OpenRouter
Mistral Large 2.1 (2411)
$3,100
Cheapest tracked route/tier: GCP Vertex AI
Estimated monthly gap: $2,628. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for DeepSeek V4 Pro and Mistral Large 2.1 (2411); plan for SDK, billing, or endpoint changes.
- Mistral Large 2.1 (2411) is $5.27/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for Mistral Large 2.1 (2411) and DeepSeek V4 Pro; plan for SDK, billing, or endpoint changes.
- DeepSeek V4 Pro is $5.27/1M 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 | 2024-11-18 |
| 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 | - | - |
Pricing and availability
| Pricing attribute | DeepSeek V4 Pro | Mistral Large 2.1 (2411) |
|---|---|---|
| Input price |
| $2/1M tokens |
| Output price |
| $6/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V4 Pro | Mistral Large 2.1 (2411) |
|---|---|---|
| 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 2.1 (2411) |
|---|---|---|
| MMLU PRO | 87.5 | 67.9 |
| Chatbot Arena | 1456.0 | 1265.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek V4 Pro at 87.5 and Mistral Large 2.1 (2411) at 67.9, with DeepSeek V4 Pro ahead by 19.6 points; Chatbot Arena has DeepSeek V4 Pro at 1456 and Mistral Large 2.1 (2411) at 1265, with DeepSeek V4 Pro ahead by 191 points. The largest visible gap is 191 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. 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 tiered pricing: Off-peak is $0.66/1M input and $1.98/1M output; Peak is $1.32/1M input and $3.96/1M output, while Mistral Large 2.1 (2411) lists $2/1M input and $6/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V4 Pro lower by about $2.73 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 6 providers versus 4, so concentration risk also matters.
Choose DeepSeek V4 Pro when reasoning depth, larger context windows, and lower cheapest-tier input-token cost are central to the workload. Choose Mistral Large 2.1 (2411) 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, DeepSeek V4 Pro or Mistral Large 2.1 (2411)?
DeepSeek V4 Pro supports 1M tokens, while Mistral Large 2.1 (2411) 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 2.1 (2411)?
DeepSeek V4 Pro lists tiered pricing: Off-peak is $0.66/1M input and $1.98/1M output; Peak is $1.32/1M input and $3.96/1M output. Mistral Large 2.1 (2411) lists $2/1M input and $6/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V4 Pro or Mistral Large 2.1 (2411) open source?
DeepSeek V4 Pro is listed under MIT. Mistral Large 2.1 (2411) 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 2.1 (2411)?
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 2.1 (2411)?
Both DeepSeek V4 Pro and Mistral Large 2.1 (2411) 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 2.1 (2411)?
DeepSeek V4 Pro is available on DeepSeek Platform, Fireworks AI, OpenRouter, Vercel AI Gateway, and Novita AI. Mistral Large 2.1 (2411) is available on Mistral AI Studio, GCP Vertex AI, Microsoft Foundry, and IBM watsonx. 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.