DeepSeek R1 vs Gemini 2.5 Pro
DeepSeek R1 (2025) and Gemini 2.5 Pro (2025) are frontier-tier 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 14.6 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 2.5 Pro fits 8x more tokens; pick it for long-context work and DeepSeek R1 for tighter calls.
Decision scorecard
Local evidence first| Signal | DeepSeek R1 | Gemini 2.5 Pro |
|---|---|---|
| Best for | reasoning-heavy apps and provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 128k | 1m |
| Cheapest output | $0.30/1M tokens | $10/1M tokens |
| Provider routes | 14 tracked | 4 tracked |
| Shared benchmarks | 5 shared | SWE-bench Verified leader |
Decision tradeoffs
- DeepSeek R1 has the lower cheapest tracked output price at $0.30/1M tokens.
- DeepSeek R1 has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags DeepSeek R1 for Coding, RAG, and Agents.
- Gemini 2.5 Pro holds a shared-benchmark lead on SWE-bench Verified, ahead by 14.6 points.
- Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Pro uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags Gemini 2.5 Pro 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.
DeepSeek R1
$155
Cheapest tracked route/tier: Bitdeer AI
Gemini 2.5 Pro
$3,500
Cheapest tracked route/tier: Google AI Studio <=200K tokens
Estimated monthly gap: $3,345. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on GCP Vertex AI, OpenRouter, and Vercel AI Gateway; start route-level A/B tests there.
- Gemini 2.5 Pro is $9.70/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 2.5 Pro adds Vision, Multimodal, and JSON / JSON / Tool use in local capability data.
- Provider overlap exists on OpenRouter, GCP Vertex AI, and Vercel AI Gateway; start route-level A/B tests there.
- DeepSeek R1 is $9.70/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and JSON / JSON / Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-20 | 2025-06-17 |
| Context window | 128k | 1m |
| Parameters | 671B, 37B Active | — |
| Architecture | Decoder Only | Decoder Only |
| License | MITOSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Weights | Available | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | 2023-12 | 2025-01 |
Pricing and availability
| Pricing attribute | DeepSeek R1 | Gemini 2.5 Pro |
|---|---|---|
| Input price | $0.10/1M tokens |
|
| Output price | $0.30/1M tokens |
|
| Providers |
Capabilities
| Capability | DeepSeek R1 | Gemini 2.5 Pro |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | Yes |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek R1 | Gemini 2.5 Pro |
|---|---|---|
| SWE-bench Verified | 49.2 | 63.8 |
| Google-Proof Q&A | 71.5 | 86.4 |
| HumanEval | 89.9 | 93.1 |
| Aider Polyglot | 56.9 | 83.1 |
| Chatbot Arena | 1372.0 | 1398.0 |
Continue comparing
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.