DeepSeek-V4-Pro-0813 vs Gemini 3.7 Flash
DeepSeek-V4-Pro-0813 (DeepSeek) and Gemini 3.7 Flash (Google DeepMind) compared on benchmarks, pricing, context window, and use-case rankings.
- Gemini 3.7 Flash leads on overall intelligence (ECI 157 vs 155).
- DeepSeek-V4-Pro-0813 is cheaper on input tokens — $0.58 vs $0.75 per 1M.
- Gemini 3.7 Flash ranks higher for coding (92th vs 78th percentile).
| Attribute | DeepSeek-V4-Pro-0813 | Gemini 3.7 Flash |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 155 | 157 |
| Coding | 78 | 92 |
| Math | 89 | 81 |
| Reasoning & Knowledge | 70 | 86 |
| Agentic & Tools | — | — |
| Specifications | ||
| Developer | DeepSeek | Google DeepMind |
| Family | DeepSeek | Gemini |
| Released | Aug 13, 2026 | Aug 13, 2026 |
| Parameters | 1.6T | — |
| Availability | Open weights (unrestricted) | API access |
| Context window | 1M | 1M |
| Price — $/M input | $0.58 | $0.75 |
| Price — $/M output | $1.74 | $3.75 |
| Inputs | text | text, image, video, file, audio |
| Outputs | text | text |
| Benchmarks | ||
| AIME 2024/2025 | 99% | 97% |
| ARC-AGI | 91% | 96% |
| ARC-AGI-2 | 61% | 85% |
| GPQA Diamond | 92% | 95% |
| Humanity's Last Exam | 41% | 39% |
| SciCode | 51% | 60% |
| SimpleQA Verified | 53% | 69% |
| WebDev Arena | 1582 | 1587 |
| WeirdML | 66% | — |
Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.
Frequently asked questions
Is DeepSeek-V4-Pro-0813 better than Gemini 3.7 Flash?
On Epoch AI's Capabilities Index, Gemini 3.7 Flash scores higher (157) than DeepSeek-V4-Pro-0813 (155). The right pick depends on your task — compare their coding, math, and reasoning scores in the table above.
Which is cheaper, DeepSeek-V4-Pro-0813 or Gemini 3.7 Flash?
DeepSeek-V4-Pro-0813 is cheaper on input tokens at $0.58 per million, versus $0.75 (representative OpenRouter pricing).
Which has a larger context window, DeepSeek-V4-Pro-0813 or Gemini 3.7 Flash?
DeepSeek-V4-Pro-0813 supports up to 1M tokens, compared with 1M for the other.
Which is better for coding, DeepSeek-V4-Pro-0813 or Gemini 3.7 Flash?
Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.7 Flash ranks higher — 92th vs 78th percentile among the models tracked on Model Beat.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.