Gemini 3.7 Flash vs DeepSeek V4 Pro 0813
Gemini 3.7 Flash comes out ahead, 75 to 68 on our weighted score, though DeepSeek V4 Pro 0813 is 34% cheaper per token.
- Our pick
GoogleGemini 3.7 Flash
75/100- ECI157.4
- Price$0.75 / $3.75
- Context1.05M
DeepSeekDeepSeek V4 Pro 0813
68/100- ECI155.4
- Price$0.66 / $1.98
- Context1M
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Make it a three-way comparison.
Gemini 3.7 Flash is our pick
Gemini 3.7 Flash is the better all-round choice, scoring 75/100 against DeepSeek V4 Pro 0813 (68). It leads on capability and inputs & features. DeepSeek V4 Pro 0813 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemini 3.7 FlashCapabilities Index (ECI): Gemini 3.7 Flash 157.4 · DeepSeek V4 Pro 0813 155.4
- Lowest priceDeepSeek V4 Pro 0813DeepSeek V4 Pro 0813 $0.99 · Gemini 3.7 Flash $1.50 per 1M tokens (3:1 blend)
- Longest contextGemini 3.7 FlashGemini 3.7 Flash 1,048,576 · DeepSeek V4 Pro 0813 1,000,000 tokens
- Widest inputsGemini 3.7 FlashGemini 3.7 Flash: Text, Images, PDFs, Audio, Video · DeepSeek V4 Pro 0813: Text
- Self-hostingDeepSeek V4 Pro 0813Publishes downloadable weights (MIT)
| Measure | Weight | Gemini 3.7 Flash | DeepSeek V4 Pro 0813 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 88 | 85 |
| Price | 25% | 42 | 50 |
| Inputs & features | 15% | 100 | 45 |
| Context window | 10% | 61 | 60 |
| Overall | 100% | 75/100 | 68/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 3.7 FlashGoogle | DeepSeek V4 Pro 0813DeepSeek |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 157.4 (best) | 155.4 |
| ECI rank | #14 of 148 (best) | #26 of 148 |
| GPQA DiamondGraduate-level science questions | 94.8% (best) | 91.7% |
| FrontierMath Tiers 1–3Research-level mathematics | 71.6% (best) | 64.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 97.2% | 98.6% (best) |
| SimpleQA VerifiedShort factual questions | 69.2% (best) | 52.9% |
| Price per million tokens | ||
| Input | $0.75 | $0.66 (best) |
| Output | $3.75 | $1.98 (best) |
| Cached input | $0.075 | $0.022 (best) |
| Blended (3:1) | $1.50 | $0.99 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Google API | Official DeepSeek API |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 65,536 tokens | 384,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | Yes | No |
| Video | Yes | No |
| Reasoning | Yeslow · medium · high | Yeslow · high · max |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | OpenMIT |
| API model ID | gemini-3.7-flash | deepseek-v4-pro |
| API providers | 24 | 37 (best) |
| Released | Aug 13, 2026 | Aug 12, 2026 |
| Knowledge cutoff | Mar 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Gemini 3.7 Flash$15.00
- DeepSeek V4 Pro 0813$10.56
Which should you choose?
Which is better: Gemini 3.7 Flash or DeepSeek V4 Pro 0813?
Gemini 3.7 Flash is the better all-round choice, scoring 75/100 against DeepSeek V4 Pro 0813 (68). It leads on capability and inputs & features. DeepSeek V4 Pro 0813 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemini 3.7 Flash or DeepSeek V4 Pro 0813?
DeepSeek V4 Pro 0813 is cheaper at $0.66 input / $1.98 output per million tokens (official DeepSeek API price). Gemini 3.7 Flash costs $0.75 input / $3.75 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.99 per million tokens for DeepSeek V4 Pro 0813 versus $1.50 for Gemini 3.7 Flash (1.5× as much).
Which scores higher on benchmarks?
Gemini 3.7 Flash scores higher on the Capabilities Index (ECI): Gemini 3.7 Flash 157.4 (#14 of 148) and DeepSeek V4 Pro 0813 155.4 (#26 of 148). The confidence ranges of the top two overlap (155.4–160.1 vs 153.7–157.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 3.7 Flash 94.8%, DeepSeek V4 Pro 0813 91.7%; FrontierMath Tiers 1–3 — Gemini 3.7 Flash 71.6%, DeepSeek V4 Pro 0813 64.6%; OTIS Mock AIME 2024–2025 — DeepSeek V4 Pro 0813 98.6%, Gemini 3.7 Flash 97.2%; SimpleQA Verified — Gemini 3.7 Flash 69.2%, DeepSeek V4 Pro 0813 52.9%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 3.7 Flash and DeepSeek V4 Pro 0813 yet, so there is no like-for-like coding score. On overall capability, Gemini 3.7 Flash leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Gemini 3.7 Flash has the largest context window at 1,048,576 tokens, against 1,000,000 for DeepSeek V4 Pro 0813. Maximum output per response: Gemini 3.7 Flash up to 65,536, DeepSeek V4 Pro 0813 up to 384,000 tokens.
Which can read images, PDFs, audio or video?
Gemini 3.7 Flash accepts text, images, PDFs, audio and video; DeepSeek V4 Pro 0813 accepts text. Gemini 3.7 Flash handles the widest range of inputs.
Are any of these open source?
DeepSeek V4 Pro 0813 publishes its weights (MIT) and can be self-hosted; Gemini 3.7 Flash is proprietary.
Which is newer?
Gemini 3.7 Flash is the newest, released Aug 13, 2026. DeepSeek V4 Pro 0813 came out Aug 12, 2026. Knowledge cutoff: Gemini 3.7 Flash Mar 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
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