Gemini 3.6 Flash vs DeepSeek-R1
Gemini 3.6 Flash comes out ahead, 73 to 51 on our weighted score, though DeepSeek-R1 is 22% cheaper per token.
- Our pick
Google
Gemini 3.6 Flash
73/100- ECI154.3
- Price$0.75 / $3.75
- Context1.05M
DeepSeek
DeepSeek-R1
51/100- ECI139.0
- Price$0.70 / $2.60
- Context128K
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Make it a three-way comparison.
Gemini 3.6 Flash is our pick
Gemini 3.6 Flash is the better all-round choice, scoring 73/100 against DeepSeek-R1 (51). It leads on capability, inputs & features and context window. DeepSeek-R1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemini 3.6 FlashCapabilities Index (ECI): Gemini 3.6 Flash 154.3 · DeepSeek-R1 139.0
- Lowest priceDeepSeek-R1DeepSeek-R1 $1.18 · Gemini 3.6 Flash $1.50 per 1M tokens (3:1 blend)
- Longest contextGemini 3.6 FlashGemini 3.6 Flash 1,048,576 · DeepSeek-R1 128,000 tokens
- Widest inputsGemini 3.6 FlashGemini 3.6 Flash: Text, Images, PDFs, Audio, Video · DeepSeek-R1: Text
- Self-hostingDeepSeek-R1Publishes downloadable weights
| Measure | Weight | Gemini 3.6 Flash | DeepSeek-R1 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 84 | 64 |
| Price | 25% | 42 | 47 |
| Inputs & features | 15% | 100 | 35 |
| Context window | 10% | 61 | 24 |
| Overall | 100% | 73/100 | 51/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 154.3 (best) | 139.0 |
| ECI rank | #34 of 148 (best) | #104 of 148 |
| GPQA DiamondGraduate-level science questions | 94.1% (best) | 71.7% |
| FrontierMath Tiers 1–3Research-level mathematics | 59.0% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 94.2% (best) | 53.3% |
| SimpleQA VerifiedShort factual questions | 66.2% | — |
| Price per million tokens | ||
| Input | $0.75 | $0.70 (best) |
| Output | $3.75 | $2.60 (best) |
| Cached input | $0.075 | — |
| Blended (3:1) | $1.50 | $1.18 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Google API | Median of 11 providers |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 128,000 tokens |
| Max output | 65,536 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | Yes | No |
| Video | Yes | No |
| Reasoning | Yesminimal · low · medium · high | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | gemini-3.6-flash | — |
| API providers | 25 (best) | 12 |
| Released | Jul 21, 2026 | Jan 20, 2025 |
| Knowledge cutoff | Mar 2026 | Jul 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemini 3.6 Flash$15.00
DeepSeek-R1$12.20
Which should you choose?
Which is better: Gemini 3.6 Flash or DeepSeek-R1?
Gemini 3.6 Flash is the better all-round choice, scoring 73/100 against DeepSeek-R1 (51). It leads on capability, inputs & features and context window. DeepSeek-R1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemini 3.6 Flash or DeepSeek-R1?
DeepSeek-R1 is cheaper at $0.70 input / $2.60 output per million tokens (median across 11 API providers). Gemini 3.6 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 $1.18 per million tokens for DeepSeek-R1 versus $1.50 for Gemini 3.6 Flash (1.3× as much).
Which scores higher on benchmarks?
Gemini 3.6 Flash scores higher on the Capabilities Index (ECI): Gemini 3.6 Flash 154.3 (#34 of 148) and DeepSeek-R1 139.0 (#104 of 148). Their confidence ranges do not overlap (152.6–156.3 vs 136.2–140.4), so the gap is a real one. On individual benchmarks: GPQA Diamond — Gemini 3.6 Flash 94.1%, DeepSeek-R1 71.7%; OTIS Mock AIME 2024–2025 — Gemini 3.6 Flash 94.2%, DeepSeek-R1 53.3%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 3.6 Flash and DeepSeek-R1 yet, so there is no like-for-like coding score. On overall capability, Gemini 3.6 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 3.6 Flash has the largest context window at 1,048,576 tokens, against 128,000 for DeepSeek-R1. Maximum output per response: Gemini 3.6 Flash up to 65,536, DeepSeek-R1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Gemini 3.6 Flash accepts text, images, PDFs, audio and video; DeepSeek-R1 accepts text. Gemini 3.6 Flash handles the widest range of inputs.
Are any of these open source?
DeepSeek-R1 publishes its weights and can be self-hosted; Gemini 3.6 Flash is proprietary.
Which is newer?
Gemini 3.6 Flash is the newest, released Jul 21, 2026. DeepSeek-R1 came out Jan 20, 2025. Knowledge cutoff: Gemini 3.6 Flash Mar 2026, DeepSeek-R1 Jul 2024.
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.