LLM Reference

DeepSeek R1 vs DeepSeek V4 Flash

DeepSeek R1 (2025) and DeepSeek V4 Flash (2026) are frontier-tier reasoning models from DeepSeek. DeepSeek R1 ships a 128k-token context window, while DeepSeek V4 Flash ships a 1m-token context window. On SWE-bench Verified, DeepSeek V4 Flash leads by 29.8 pts. On pricing, DeepSeek V4 Flash costs $0.10/1M input tokens versus $0.10/1M 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.

Pick DeepSeek V4 Flash for coding; DeepSeek R1 is better when coding workflow support matters more.

Decision scorecard

Local evidence first
SignalDeepSeek R1DeepSeek 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 window128k1m
Cheapest output$0.30/1M tokens$0.20/1M tokens
Provider routes14 tracked5 tracked
Shared benchmarks3 rowsSWE-bench Verified leader

Decision tradeoffs

Choose DeepSeek R1 when...
  • DeepSeek R1 holds a shared-benchmark lead on HumanEval, ahead by 20.4 points.
  • DeepSeek R1 has broader tracked provider coverage for fallback and procurement flexibility.
  • DeepSeek R1 uniquely exposes Code execution in local model data.
  • Local decision data tags DeepSeek R1 for Coding, RAG, and Agents.
Choose DeepSeek V4 Flash when...
  • DeepSeek V4 Flash holds a shared-benchmark lead on SWE-bench Verified, ahead by 29.8 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

$155

Cheapest tracked route/tier: Bitdeer AI

DeepSeek V4 Flash

$128

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $27.21. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek R1 -> DeepSeek V4 Flash
  • Provider overlap exists on DeepSeek Platform, OpenRouter, and Microsoft Foundry; start route-level A/B tests there.
  • DeepSeek V4 Flash is $0.10/1M 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
  • Provider overlap exists on DeepSeek Platform, OpenRouter, and Microsoft Foundry; start route-level A/B tests there.
  • DeepSeek R1 is $0.10/1M 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 adds Code execution in local capability data.

Specs

Specification
Released2025-01-202026-04-24
Context window128k1m
Parameters671B, 37B Active284B
Architecturedecoder onlymixture of experts
LicenseMIT(OSI)MIT(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff2023-12-

Pricing and availability

Pricing attributeDeepSeek R1DeepSeek V4 Flash
Input price$0.10/1M tokens$0.10/1M tokens
Output price$0.30/1M tokens$0.20/1M tokens
Providers

Capabilities

CapabilityDeepSeek R1DeepSeek V4 Flash
VisionNoNo
MultimodalNoNo
ReasoningYesYes
Function callingNoYes
Tool useNoYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkDeepSeek R1DeepSeek V4 Flash
SWE-bench Verified49.279.0
Google-Proof Q&A71.588.1
HumanEval89.969.5

Deep dive

On shared benchmark coverage, SWE-bench Verified has DeepSeek R1 at 49.2 and DeepSeek V4 Flash at 79, with DeepSeek V4 Flash ahead by 29.8 points; Google-Proof Q&A has DeepSeek R1 at 71.5 and DeepSeek V4 Flash at 88.1, with DeepSeek V4 Flash ahead by 16.6 points; HumanEval has DeepSeek R1 at 89.9 and DeepSeek V4 Flash at 69.5, with DeepSeek R1 ahead by 20.4 points. The largest visible gap is 29.8 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. 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 lists $0.10/1M input and $0.30/1M 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 $0.03 per million blended tokens. Availability is 14 providers versus 5, so concentration risk also matters.

Choose DeepSeek R1 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 or DeepSeek V4 Flash?

DeepSeek V4 Flash supports 1m tokens, while DeepSeek R1 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 or DeepSeek V4 Flash?

DeepSeek V4 Flash is cheaper on tracked token pricing. DeepSeek R1 costs $0.10/1M input and $0.30/1M 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 or DeepSeek V4 Flash open source?

DeepSeek R1 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 or DeepSeek V4 Flash?

Both DeepSeek R1 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 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 and DeepSeek V4 Flash?

DeepSeek R1 is available on DeepSeek Platform, OpenRouter, Together AI, Fireworks AI, and NVIDIA NIM. 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.

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