DeepSeek R1 vs Gemini 2.5 Pro
DeepSeek R1 (2025) and Gemini 2.5 Pro (2025) are frontier reasoning models from DeepSeek and Google DeepMind. DeepSeek R1 ships a 128K-token context window, while Gemini 2.5 Pro ships a 1M-token context window. On SWE-bench Verified, Gemini 2.5 Pro leads by 14 pts. On pricing, DeepSeek R1 costs $0.1/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
DeepSeek R1 is ~1150% cheaper at $0.1/1M; pay for Gemini 2.5 Pro only for coding workflow support.
Specs
| Released | 2025-01-20 | 2025-06-17 |
| Context window | 128K | 1M |
| Parameters | 671B, 37B Active | — |
| Architecture | decoder only | decoder only |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | 2025-01 |
Pricing and availability
| DeepSeek R1 | Gemini 2.5 Pro | |
|---|---|---|
| Input price | $0.1/1M tokens | $1.25/1M tokens |
| Output price | $0.3/1M tokens | $10/1M tokens |
| Providers |
Capabilities
| DeepSeek R1 | Gemini 2.5 Pro | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | DeepSeek R1 | Gemini 2.5 Pro |
|---|---|---|
| SWE-bench Verified | 49.2 | 63.2 |
| Google-Proof Q&A | 71.5 | 86.4 |
| HumanEval | 89.9 | 93.1 |
| Chatbot Arena | 1372.0 | 1398.0 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has DeepSeek R1 at 49.2 and Gemini 2.5 Pro at 63.2, with Gemini 2.5 Pro ahead by 14 points; Google-Proof Q&A has DeepSeek R1 at 71.5 and Gemini 2.5 Pro at 86.4, with Gemini 2.5 Pro ahead by 14.9 points; HumanEval has DeepSeek R1 at 89.9 and Gemini 2.5 Pro at 93.1, with Gemini 2.5 Pro ahead by 3.2 points. The largest visible gap is 14.9 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: Gemini 2.5 Pro, multimodal input: Gemini 2.5 Pro, reasoning mode: DeepSeek R1, function calling: Gemini 2.5 Pro, and tool use: Gemini 2.5 Pro. Both models share structured outputs and code execution, 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 $0.1/1M input and $0.3/1M output tokens, while Gemini 2.5 Pro lists $1.25/1M input and $10/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek R1 lower by about $3.71 per million blended tokens. Availability is 13 providers versus 3, so concentration risk also matters.
Choose DeepSeek R1 when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose Gemini 2.5 Pro when coding workflow support 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 Gemini 2.5 Pro?
Gemini 2.5 Pro 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 Gemini 2.5 Pro?
DeepSeek R1 is cheaper on tracked token pricing. DeepSeek R1 costs $0.1/1M input and $0.3/1M output tokens. Gemini 2.5 Pro costs $1.25/1M input and $10/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek R1 or Gemini 2.5 Pro open source?
DeepSeek R1 is listed under Open Source. Gemini 2.5 Pro is listed under Proprietary. 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 or Gemini 2.5 Pro?
Gemini 2.5 Pro 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 or Gemini 2.5 Pro?
Gemini 2.5 Pro 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 and Gemini 2.5 Pro?
DeepSeek R1 is available on DeepSeek Platform, OpenRouter, Together AI, Fireworks AI, and NVIDIA NIM. Gemini 2.5 Pro is available on Google AI Studio, GCP Vertex AI, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.