Side-by-side comparison of pricing, context window, benchmarks, capabilities, and license. Data sourced from the Interestana AI Index, kept current as developers update their models.
Model A — DeepSeek
DeepSeek R1 is an open-weight reasoning model trained primarily via reinforcement learning. It reproduced much of the performance of OpenAI’s o1 at a fraction of the inference price.
Model B — Google DeepMind
Gemini 2.5 Pro is Google’s flagship reasoning model with a 2 million-token context window, native multimodal understanding, and built-in thinking before responding.
| Property | DeepSeek R1 | Gemini 2.5 Pro |
|---|---|---|
| Released | Jan 20, 2025 | Mar 25, 2025 |
| Developer | DeepSeek | Google DeepMind |
| Type | reasoning | multimodal |
| License | open-weight | proprietary |
| Context window | 128,000 | 2,000,000 |
| Parameters | 685B MoE (37B active) | — |
| Input $/M tokens | $0.55 | $1.25 |
| Output $/M tokens | $2.19 | $10.00 |
Bold green values indicate the winner on that dimension where comparison is meaningful (lower price wins; bigger context wins; more open license wins; newer date wins).
| Benchmark | DeepSeek R1 | Gemini 2.5 Pro |
|---|---|---|
| GPQA Diamond | 71.5% | 84% |
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