deepseek-r1 vs gemini-2.5-pro
Side-by-side comparison of deepseek-r1 and gemini-2.5-pro— benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-2.5-pro outperforms deepseek-r1 on 7 of 8 shared benchmarks.
deepseek-r1
Input / 1M
$4.00
Output / 1M
$4.00
Context
64K
Model ID
novita/deepseek/deepseek-r1
gemini-2.5-pro
Input / 1M
$1.25
Output / 1M
$10.00
Context
1.0M
Model ID
google/gemini-2.5-pro
Benchmark comparison
MMLU Proknowledge
deepseek-r185.0%
gemini-2.5-pro86.2%
GPQA Diamondreasoning
deepseek-r171.5%
gemini-2.5-pro84.0%
HumanEvalcoding
deepseek-r192.0%
gemini-2.5-pro93.2%
SWE-Bench Verifiedcoding
deepseek-r149.2%
gemini-2.5-pro63.8%
MATHmath
deepseek-r192.2%
gemini-2.5-pro91.4%
AIME 2024math
deepseek-r179.8%
gemini-2.5-pro88.0%
MMMUmultimodal
deepseek-r174.8%
gemini-2.5-pro81.7%
LiveBenchreasoning
deepseek-r171.5%
gemini-2.5-pro73.6%
τ-bench Retailagentic
deepseek-r1—
gemini-2.5-pro69.8%
Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.
Pricing & specifications
| deepseek-r1 | gemini-2.5-pro | |
|---|---|---|
| Input price / 1M | $4.00 | $1.25 |
| Output price / 1M | $4.00 | $10.00 |
| Context window | 64K tokens | 1.0M tokens |
| Max output | — | 66K tokens |
| Vision input | — | Yes |
| Tool calling | Yes | Yes |
| Reasoning | — | Yes |
| Prompt caching | — | Yes |
| Computer use | — | — |
| Provider | Novita AI | Google LLC (Gemini API) |
Questions people ask
Is deepseek-r1 better than gemini-2.5-pro?
gemini-2.5-pro outperforms deepseek-r1 on 7 of 8 shared benchmarks. See the benchmark comparison above for specifics — deepseek-r1 and gemini-2.5-pro have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — deepseek-r1 or gemini-2.5-pro?
deepseek-r1 is cheaper. deepseek-r1 costs $4.00/$4.00 per 1M input/output tokens, while gemini-2.5-pro costs $1.25/$10.00.
Can I use deepseek-r1 and gemini-2.5-pro through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch — "novita/deepseek/deepseek-r1" or "google/gemini-2.5-pro" — no other code changes needed.
What are the context windows?
deepseek-r1 supports up to 64K tokens of context. gemini-2.5-pro supports up to 1.0M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.
Switch between deepseek-r1 and gemini-2.5-pro with one line of code
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