LLM Reference

DeepSeek R1 0528 vs DeepSeek V4 Flash

DeepSeek R1 0528 (2025) and DeepSeek V4 Flash (2026) are frontier-tier reasoning models from DeepSeek. DeepSeek R1 0528 ships a 130k-token context window, while DeepSeek V4 Flash ships a 1m-token context window. On MMLU PRO, DeepSeek V4 Flash leads by 1.2 pts. On pricing, DeepSeek V4 Flash costs $0.10/1M input tokens versus $0.50/1M 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.

DeepSeek V4 Flash is ~409% cheaper at $0.10/1M; pay for DeepSeek R1 0528 only for coding workflow support.

Decision scorecard

Local evidence first
SignalDeepSeek R1 0528DeepSeek V4 Flash
Best forreasoning-heavy apps and provider-routed productionreasoning-heavy apps, tool-calling agents, and long-context analysis
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window130k1m
Cheapest output$2.15/1M tokens$0.20/1M tokens
Provider routes6 tracked5 tracked
Shared benchmarks4 rowsMMLU PRO leader

Decision tradeoffs

Choose DeepSeek R1 0528 when...
  • DeepSeek R1 0528 has broader tracked provider coverage for fallback and procurement flexibility.
  • DeepSeek R1 0528 uniquely exposes Code execution in local model data.
  • Local decision data tags DeepSeek R1 0528 for Coding, RAG, and Agents.
Choose DeepSeek V4 Flash when...
  • DeepSeek V4 Flash holds a shared-benchmark lead on MMLU PRO, ahead by 1.2 points.
  • DeepSeek V4 Flash has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • DeepSeek V4 Flash has the lower cheapest tracked output price at $0.20/1M tokens.
  • DeepSeek V4 Flash uniquely exposes Function calling and Tool use in local model data.
  • Local decision data tags DeepSeek V4 Flash 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 DeepSeek V4 Flash

DeepSeek R1 0528

$938

Cheapest tracked route/tier: OpenRouter

DeepSeek V4 Flash

$128

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $810. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek R1 0528 -> DeepSeek V4 Flash
  • Provider overlap exists on OpenRouter, Microsoft Foundry, and Novita AI; start route-level A/B tests there.
  • DeepSeek V4 Flash is $1.95/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Code execution before moving production traffic.
  • DeepSeek V4 Flash adds Function calling and Tool use in local capability data.
DeepSeek V4 Flash -> DeepSeek R1 0528
  • Provider overlap exists on Novita AI, OpenRouter, and Microsoft Foundry; start route-level A/B tests there.
  • DeepSeek R1 0528 is $1.95/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.
  • DeepSeek R1 0528 adds Code execution in local capability data.

Specs

Specification
Released2025-05-282026-04-24
Context window130k1m
Parameters685B total, 37B active (MoE)284B
Architecturedecoder onlymixture of experts
LicenseMIT(OSI)MIT(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff--

Pricing and availability

Pricing attributeDeepSeek R1 0528DeepSeek V4 Flash
Input price$0.50/1M tokens$0.10/1M tokens
Output price$2.15/1M tokens$0.20/1M tokens
Providers

Capabilities

CapabilityDeepSeek R1 0528DeepSeek V4 Flash
VisionNoNo
MultimodalNoNo
ReasoningYesYes
Function callingNoYes
Tool useNoYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkDeepSeek R1 0528DeepSeek V4 Flash
MMLU PRO85.086.2
SWE-bench Verified57.679.0
Google-Proof Q&A81.088.1
LiveCodeBench73.391.6

Deep dive

On shared benchmark coverage, MMLU PRO has DeepSeek R1 0528 at 85 and DeepSeek V4 Flash at 86.2, with DeepSeek V4 Flash ahead by 1.2 points; SWE-bench Verified has DeepSeek R1 0528 at 57.6 and DeepSeek V4 Flash at 79, with DeepSeek V4 Flash ahead by 21.4 points; Google-Proof Q&A has DeepSeek R1 0528 at 81 and DeepSeek V4 Flash at 88.1, with DeepSeek V4 Flash ahead by 7.1 points. The largest visible gap is 21.4 points on SWE-bench Verified, 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 function calling: DeepSeek V4 Flash, tool use: DeepSeek V4 Flash, and code execution: DeepSeek R1 0528. Both models share reasoning mode 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 R1 0528 lists $0.50/1M input and $2.15/1M output tokens on the cheapest tracked provider, while DeepSeek V4 Flash lists $0.10/1M input and $0.20/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V4 Flash lower by about $0.87 per million blended tokens. Availability is 6 providers versus 5, so concentration risk also matters.

Choose DeepSeek R1 0528 when coding workflow support and broader provider choice are central to the workload. Choose DeepSeek V4 Flash when long-context analysis, larger context windows, and lower input-token cost 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 DeepSeek V4 Flash?

DeepSeek V4 Flash supports 1m tokens, while DeepSeek R1 0528 supports 130k 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 DeepSeek V4 Flash?

DeepSeek V4 Flash is cheaper on tracked token pricing. DeepSeek R1 0528 costs $0.50/1M input and $2.15/1M output tokens. DeepSeek V4 Flash costs $0.10/1M input and $0.20/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is DeepSeek R1 0528 or DeepSeek V4 Flash open source?

DeepSeek R1 0528 is listed under MIT. DeepSeek V4 Flash is listed under MIT. 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 DeepSeek V4 Flash?

Both DeepSeek R1 0528 and DeepSeek V4 Flash expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for function calling, DeepSeek R1 0528 or DeepSeek V4 Flash?

DeepSeek V4 Flash has the clearer documented function calling signal in this comparison. If function calling 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 DeepSeek V4 Flash?

DeepSeek R1 0528 is available on Together AI, Fireworks AI, GCP Vertex AI, Novita AI, and OpenRouter. DeepSeek V4 Flash is available on DeepSeek Platform, OpenRouter, Microsoft Foundry, Vercel AI Gateway, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-01. Data sourced from public model cards and provider documentation.