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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 Google-Proof Q&A, DeepSeek V4 Flash leads by 16.6 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

DeepSeek V4 Flash fits 8x more tokens; pick it for long-context work and DeepSeek R1 for tighter calls.

Specs

Released2025-01-202026-04-24
Context window128K1M
Parameters671B, 37B Active284B
Architecturedecoder onlymixture of experts
LicenseOpen SourceMIT
Knowledge cutoff--

Pricing and availability

DeepSeek R1DeepSeek V4 Flash
Input price$0.1/1M tokens-
Output price$0.3/1M tokens-
Providers-

Capabilities

DeepSeek R1DeepSeek V4 Flash
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

BenchmarkDeepSeek R1DeepSeek V4 Flash
Google-Proof Q&A71.588.1

Deep dive

On shared benchmark coverage, 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. The largest visible gap is 16.6 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 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.

Pricing coverage is uneven: DeepSeek R1 has $0.1/1M input tokens and DeepSeek V4 Flash has no token price sourced yet. Provider availability is 13 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose DeepSeek R1 when coding workflow support and broader provider choice are central to the workload. Choose DeepSeek V4 Flash when long-context analysis and larger context windows 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.

Is DeepSeek R1 or DeepSeek V4 Flash open source?

DeepSeek R1 is listed under Open Source. 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.

Which is better for tool use, DeepSeek R1 or DeepSeek V4 Flash?

DeepSeek V4 Flash has the clearer documented tool use signal in this comparison. If 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 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 the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.