DeepSeek R1 0528 vs Mistral Large 3 675B Instruct
DeepSeek R1 0528 (2025) and Mistral Large 3 675B Instruct (2025) are frontier reasoning models from DeepSeek and MistralAI. DeepSeek R1 0528 ships a 130k-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On MMLU PRO, Mistral Large 3 675B Instruct leads by 0.5 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 DeepSeek R1 0528 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | DeepSeek R1 0528 | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps and provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 130k | 128k |
| Cheapest output | $2.15/1M tokens | $1.50/1M tokens |
| Provider routes | 6 tracked | 5 tracked |
| Shared benchmarks | 3 rows | MMLU PRO leader |
Decision tradeoffs
- DeepSeek R1 0528 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 37.1 points.
- DeepSeek R1 0528 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek R1 0528 has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek R1 0528 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags DeepSeek R1 0528 for Coding, RAG, and Agents.
- Mistral Large 3 675B Instruct holds a shared-benchmark lead on MMLU PRO, ahead by 0.5 points.
- Mistral Large 3 675B Instruct has the lower cheapest tracked output price at $1.50/1M tokens.
- Mistral Large 3 675B Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Mistral Large 3 675B Instruct 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 0528
$938
Cheapest tracked route/tier: OpenRouter
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $163. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Microsoft Foundry; start route-level A/B tests there.
- Mistral Large 3 675B Instruct is $0.65/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- Mistral Large 3 675B Instruct adds Vision and Multimodal in local capability data.
- Provider overlap exists on Microsoft Foundry; start route-level A/B tests there.
- DeepSeek R1 0528 is $0.65/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- DeepSeek R1 0528 adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-28 | 2025-12-01 |
| Context window | 130k | 128k |
| Parameters | 685B total, 37B active (MoE) | 675B |
| 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 | - | 2024-11 |
Pricing and availability
| Pricing attribute | DeepSeek R1 0528 | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.50/1M tokens | $0.50/1M tokens |
| Output price | $2.15/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek R1 0528 | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek R1 0528 | Mistral Large 3 675B Instruct |
|---|---|---|
| MMLU PRO | 85.0 | 85.5 |
| Google-Proof Q&A | 81.0 | 43.9 |
| LiveCodeBench | 73.3 | 82.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek R1 0528 at 85 and Mistral Large 3 675B Instruct at 85.5, with Mistral Large 3 675B Instruct ahead by 0.5 points; Google-Proof Q&A has DeepSeek R1 0528 at 81 and Mistral Large 3 675B Instruct at 43.9, with DeepSeek R1 0528 ahead by 37.1 points; LiveCodeBench has DeepSeek R1 0528 at 73.3 and Mistral Large 3 675B Instruct at 82.8, with Mistral Large 3 675B Instruct ahead by 9.5 points. The largest visible gap is 37.1 points on Google-Proof Q&A, 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, reasoning mode: DeepSeek R1 0528, and code execution: DeepSeek R1 0528. Both models share 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 R1 0528 lists $0.50/1M input and $2.15/1M output tokens on the cheapest tracked provider, while Mistral Large 3 675B Instruct lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large 3 675B Instruct lower by about $0.19 per million blended tokens. Availability is 6 providers versus 5, so concentration risk also matters.
Choose DeepSeek R1 0528 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Mistral Large 3 675B Instruct when vision-heavy evaluation 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 0528 or Mistral Large 3 675B Instruct?
DeepSeek R1 0528 supports 130k tokens, while Mistral Large 3 675B Instruct 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 0528 or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct is cheaper on tracked token pricing. DeepSeek R1 0528 costs $0.50/1M input and $2.15/1M output tokens. Mistral Large 3 675B Instruct costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek R1 0528 or Mistral Large 3 675B Instruct open source?
DeepSeek R1 0528 is listed under MIT. Mistral Large 3 675B Instruct 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 0528 or Mistral Large 3 675B Instruct?
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, DeepSeek R1 0528 or Mistral Large 3 675B Instruct?
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.
Where can I run DeepSeek R1 0528 and Mistral Large 3 675B Instruct?
DeepSeek R1 0528 is available on Together AI, Fireworks AI, GCP Vertex AI, Novita AI, and OpenRouter. Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, Mistral AI Studio, Microsoft Foundry, and Vercel AI Gateway. 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.