DeepSeek R1 (0528) vs Gemini 2.5 Pro
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
DeepSeek · May 2025
The open reasoning model that started it all — RL-trained chain-of-thought, MIT licensed, and a research landmark.
Google · Mar 2025
Google's 2025 workhorse flagship — first mainstream thinking model with a 1M context, still widely deployed.
The verdict
Gemini 2.5 Pro wins 4 of the 4 benchmarks these models share, against 0 for DeepSeek R1 (0528). On price the gap is dramatic: DeepSeek R1 (0528) works out roughly 3.6x cheaper per blended million tokens. Gemini 2.5 Pro also takes 1.0M of context versus 128K for DeepSeek R1 (0528). And DeepSeek R1 (0528) is open-weights (MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Benchmark head-to-head 0–4
Specs & pricing
| DeepSeek R1 (0528) | Gemini 2.5 Pro | |
|---|---|---|
| modhub Index | 67.8 | 70.9 |
| Input price / 1M | $0.55 | $1.25 |
| Output price / 1M | $2.19 | $10 |
| Context window | 128K | 1.0M |
| Max output | 64K | 66K |
| Open weights | yes (MIT) | no |
| Reasoning model | yes | yes |
| Multimodal input | text | text, image, audio, video |
| Knowledge cutoff | Mar 2025 | Jan 2025 |
| Released | May 2025 | Mar 2025 |
| Example monthly cost* | $8.79 | $27.50 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, DeepSeek R1 (0528) or Gemini 2.5 Pro?
- Gemini 2.5 Pro wins 4 of the 4 benchmarks these models share, against 0 for DeepSeek R1 (0528). On price the gap is dramatic: DeepSeek R1 (0528) works out roughly 3.6x cheaper per blended million tokens. Gemini 2.5 Pro also takes 1.0M of context versus 128K for DeepSeek R1 (0528). And DeepSeek R1 (0528) is open-weights (MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
- Which is cheaper, DeepSeek R1 (0528) or Gemini 2.5 Pro?
- DeepSeek R1 (0528) costs $0.55/$2.19 per million input/output tokens, while Gemini 2.5 Pro costs $1.25/$10. For a typical workload of 10M input and 1.5M output tokens per month, that's $8.79 versus $27.50.
- Which model is better for coding, DeepSeek R1 (0528) or Gemini 2.5 Pro?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.