gemini-2.5-flash vs deepseek-r1
Side-by-side comparison of gemini-2.5-flash and deepseek-r1— benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-r1 outperforms gemini-2.5-flash on 11 of 11 shared benchmarks.
gemini-2.5-flash
Input / 1M
$0.30
Output / 1M
$2.50
Context
1.0M
Model ID
google/gemini-2.5-flash
deepseek-r1
Input / 1M
$4.00
Output / 1M
$4.00
Context
64K
Model ID
novita/deepseek/deepseek-r1
Benchmark comparison
Intelligence Indexreasoning
gemini-2.5-flash27.0%
deepseek-r127.1%
Coding Indexcoding
gemini-2.5-flash22.2%
deepseek-r124.0%
Math Indexmath
gemini-2.5-flash73.3%
deepseek-r176.0%
GPQA Diamondreasoning
gemini-2.5-flash79.0%
deepseek-r181.3%
AIME 2025math
gemini-2.5-flash73.3%
deepseek-r176.0%
LiveCodeBenchcoding
gemini-2.5-flash69.5%
deepseek-r177.0%
Terminal-Bench Hardagentic
gemini-2.5-flash13.6%
deepseek-r115.9%
τ²-Benchagentic
gemini-2.5-flash31.6%
deepseek-r136.5%
SciCodecoding
gemini-2.5-flash39.4%
deepseek-r140.3%
MMLU Proknowledge
gemini-2.5-flash83.2%
deepseek-r184.9%
Humanity's Last Examreasoning
gemini-2.5-flash11.1%
deepseek-r114.9%
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
| gemini-2.5-flash | deepseek-r1 | |
|---|---|---|
| Input price / 1M | $0.30 | $4.00 |
| Output price / 1M | $2.50 | $4.00 |
| Context window | 1.0M tokens | 64K tokens |
| Max output | 66K tokens | — |
| Vision input | Yes | — |
| Tool calling | Yes | Yes |
| Reasoning | Yes | — |
| Prompt caching | Yes | — |
| Computer use | — | — |
| Provider | Google LLC (Gemini API) | Novita AI |
Questions people ask
Is gemini-2.5-flash better than deepseek-r1?
deepseek-r1 outperforms gemini-2.5-flash on 11 of 11 shared benchmarks. See the benchmark comparison above for specifics — gemini-2.5-flash and deepseek-r1 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — gemini-2.5-flash or deepseek-r1?
gemini-2.5-flash is cheaper. gemini-2.5-flash costs $0.30/$2.50 per 1M input/output tokens, while deepseek-r1 costs $4.00/$4.00.
Can I use gemini-2.5-flash and deepseek-r1 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch — "google/gemini-2.5-flash" or "novita/deepseek/deepseek-r1" — no other code changes needed.
What are the context windows?
gemini-2.5-flash supports up to 1.0M tokens of context. deepseek-r1 supports up to 64K 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 gemini-2.5-flash and deepseek-r1 with one line of code
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