DeepSeek R1 Basic vs Mistral Large 2
DeepSeek R1 Basic (2025) and Mistral Large 2 (2025) are frontier reasoning models from DeepSeek and MistralAI. DeepSeek R1 Basic ships a 160k-token context window, while Mistral Large 2 ships a 128k-token context window. On pricing, Mistral Large 2 costs $0.48/1M input tokens versus $0.56/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Large 2 is safer overall; choose DeepSeek R1 Basic when reasoning depth matters.
Decision scorecard
Local evidence first| Signal | DeepSeek R1 Basic | Mistral Large 2 |
|---|---|---|
| Best for | reasoning-heavy apps | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Long context | Coding, RAG, and Agents |
| Context window | 160k | 128k |
| Cheapest output | $1.68/1M tokens | $2.40/1M tokens |
| Provider routes | 1 tracked | 4 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- DeepSeek R1 Basic has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek R1 Basic has the lower cheapest tracked output price at $1.68/1M tokens.
- DeepSeek R1 Basic uniquely exposes Reasoning in local model data.
- Local decision data tags DeepSeek R1 Basic for Long context.
- Mistral Large 2 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 2 uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Mistral Large 2 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 R1 Basic
$868
Cheapest tracked route/tier: Fireworks AI
Mistral Large 2
$984
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $116. 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 R1 Basic and Mistral Large 2; plan for SDK, billing, or endpoint changes.
- Mistral Large 2 is $0.72/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning before moving production traffic.
- Mistral Large 2 adds Vision, Multimodal, and Function calling in local capability data.
- No overlapping tracked provider route is sourced for Mistral Large 2 and DeepSeek R1 Basic; plan for SDK, billing, or endpoint changes.
- DeepSeek R1 Basic is $0.72/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- DeepSeek R1 Basic adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2025-11-25 |
| Context window | 160k | 128k |
| Parameters | 671B | 123B |
| Architecture | decoder only | decoder only |
| License | MIT(OSI) | Mistral License |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Non-commercial only |
| Knowledge cutoff | - | 2025-07 |
Pricing and availability
| Pricing attribute | DeepSeek R1 Basic | Mistral Large 2 |
|---|---|---|
| Input price | $0.56/1M tokens | $0.48/1M tokens |
| Output price | $1.68/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek R1 Basic | Mistral Large 2 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Large 2, multimodal input: Mistral Large 2, reasoning mode: DeepSeek R1 Basic, function calling: Mistral Large 2, tool use: Mistral Large 2, and structured outputs: Mistral Large 2. 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.
For cost, DeepSeek R1 Basic lists $0.56/1M input and $1.68/1M output tokens on the cheapest tracked provider, while Mistral Large 2 lists $0.48/1M input and $2.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek R1 Basic lower by about $0.16 per million blended tokens. Availability is 1 providers versus 4, so concentration risk also matters.
Choose DeepSeek R1 Basic when reasoning depth and larger context windows are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation, lower input-token cost, 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 R1 Basic or Mistral Large 2?
DeepSeek R1 Basic supports 160k 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.
Which is cheaper, DeepSeek R1 Basic or Mistral Large 2?
DeepSeek R1 Basic is cheaper on tracked token pricing. DeepSeek R1 Basic costs $0.56/1M input and $1.68/1M output tokens. Mistral Large 2 costs $0.48/1M input and $2.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek R1 Basic or Mistral Large 2 open source?
DeepSeek R1 Basic is listed under MIT. Mistral Large 2 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 vision, DeepSeek R1 Basic 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 R1 Basic 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.
Where can I run DeepSeek R1 Basic and Mistral Large 2?
DeepSeek R1 Basic is available on Fireworks AI. 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.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.