DeepSeek R1 0528 vs Mistral Large 2 (2407)

DeepSeek R1 0528 (2025) and Mistral Large 2 (2407) (2024) are frontier reasoning models from DeepSeek and MistralAI. DeepSeek R1 0528 ships a 130K-token context window, while Mistral Large 2 (2407) ships a 128K-token context window. On MMLU PRO, DeepSeek R1 0528 leads by 19.1 pts. On pricing, both list $0.50/1M input tokens on the cheapest tracked route. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Pick DeepSeek R1 0528 for general evaluation; Mistral Large 2 (2407) is better when provider fit matters more.

Decision scorecard

Local evidence first
SignalDeepSeek R1 0528Mistral Large 2 (2407)
Best forreasoning-heavy apps and provider-routed productiontool-calling agents and provider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window130K128K
Cheapest output$2.15/1M tokens$1.50/1M tokens
Provider routes7 tracked7 tracked
Shared benchmarksMMLU PRO leader1 shared

Decision tradeoffs

Choose DeepSeek R1 0528 when...
  • DeepSeek R1 0528 holds a shared-benchmark lead on MMLU PRO, ahead by 19.1 points.
  • DeepSeek R1 0528 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • 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.
Choose Mistral Large 2 (2407) when...
  • Mistral Large 2 (2407) has the lower cheapest tracked output price at $1.50/1M tokens.
  • Mistral Large 2 (2407) uniquely exposes JSON / Tool use in local model data.
  • 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.

Lower estimate Mistral Large 2 (2407)

DeepSeek R1 0528

$938

Cheapest tracked route/tier: OpenRouter

Mistral Large 2 (2407)

$775

Cheapest tracked route/tier: Chutes AI

Estimated monthly gap: $163. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek R1 0528 -> Mistral Large 2 (2407)
  • Provider overlap exists on Microsoft Foundry and OpenRouter; start route-level A/B tests there.
  • Mistral Large 2 (2407) 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 2 (2407) adds JSON / Tool use in local capability data.
Mistral Large 2 (2407) -> DeepSeek R1 0528
  • Provider overlap exists on OpenRouter and 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 JSON / Tool use before moving production traffic.
  • DeepSeek R1 0528 adds Reasoning and Code execution in local capability data.

Specs

Specification
Released2025-05-282024-07-24
Context window130K128K
Parameters685B total, 37B active (MoE)123B
ArchitectureDecoder OnlyDecoder Only
LicenseMITOSI-approvedMistral License
OpennessOpen sourceOpen weights
WeightsUnknownAvailable
CodeUnknownUnknown
Commercial usePermittedNot permitted
Knowledge cutoff-2024-03

Pricing and availability

Pricing attributeDeepSeek R1 0528Mistral Large 2 (2407)
Input price$0.50/1M tokens$0.50/1M tokens
Output price$2.15/1M tokens$1.50/1M tokens
Providers
Together AIFireworks AIGCP Vertex AINovita AIOpenRouterMicrosoft Foundry
Microsoft FoundryIBM watsonxOpenRouterAWS BedrockChutes AISiliconFlow

Capabilities

CapabilityDeepSeek R1 0528Mistral Large 2 (2407)
VisionNoNo
MultimodalNoNo
ReasoningYesNo
JSON / Tool useNoYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkDeepSeek R1 0528Mistral Large 2 (2407)
MMLU PRO85.065.9

Deep dive

On shared benchmark coverage, MMLU PRO has DeepSeek R1 0528 at 85 and Mistral Large 2 (2407) at 65.9, with DeepSeek R1 0528 ahead by 19.1 points. The largest visible gap is 19.1 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 reasoning mode: DeepSeek R1 0528, JSON / Tool use: Mistral Large 2 (2407), 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 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 Mistral Large 2 (2407) lower by about $0.19 per million blended tokens. Availability is 7 providers versus 7, so concentration risk also matters.

Choose DeepSeek R1 0528 when coding workflow support and larger context windows are central to the workload. Choose Mistral Large 2 (2407) 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 R1 0528 or Mistral Large 2 (2407)?

DeepSeek R1 0528 supports 130K 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 R1 0528 or Mistral Large 2 (2407)?

Mistral Large 2 (2407) is cheaper on tracked token pricing. DeepSeek R1 0528 costs $0.50/1M input and $2.15/1M 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 R1 0528 or Mistral Large 2 (2407) open source?

DeepSeek R1 0528 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 R1 0528 or Mistral Large 2 (2407)?

DeepSeek R1 0528 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 R1 0528 or Mistral Large 2 (2407)?

Mistral Large 2 (2407) has the clearer documented JSON / Tool use signal in this comparison. If JSON / Tool use 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 2 (2407)?

DeepSeek R1 0528 is available on Together AI, Fireworks AI, GCP Vertex AI, Novita AI, and OpenRouter. 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.