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Comparison · 2 models · Updated Oct 4, 2026

Gemini 2.0 Flash vs DeepSeek-V3.1

Gemini 2.0 Flash comes out ahead, 65 to 54 on our weighted score.

  1. Our pick

    Google

    Gemini 2.0 Flash

    Released Dec 11, 2024

    65/100
    • ECI134.7
    • Price—
    • Context1.05M
    Full specs Remove Gemini 2.0 Flash

  2. DeepSeek

    DeepSeek-V3.1

    Released Aug 21, 2025

    54/100
    • ECI139.9
    • Price$0.385 / $1.25
    • Context131K
    Full specs Remove DeepSeek-V3.1

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Gemini 2.0 Flash is our pick

Gemini 2.0 Flash is the better all-round choice, scoring 65/100 against DeepSeek-V3.1 (54). It leads on inputs & features and context window. DeepSeek-V3.1 wins on capability. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • CapabilityDeepSeek-V3.1Capabilities Index (ECI): DeepSeek-V3.1 139.9 · Gemini 2.0 Flash 134.7
  • Lowest priceDeepSeek-V3.1DeepSeek-V3.1 $0.601 per 1M tokens (3:1 blend) · Gemini 2.0 Flash unpriced
  • Longest contextGemini 2.0 FlashGemini 2.0 Flash 1,048,576 · DeepSeek-V3.1 131,072 tokens
  • Widest inputsGemini 2.0 FlashGemini 2.0 Flash: Text, Images, PDFs, Audio, Video · DeepSeek-V3.1: Text
  • Self-hostingDeepSeek-V3.1Publishes downloadable weights (MIT License)
How the score is built
MeasureWeightGemini 2.0 FlashDeepSeek-V3.1
CapabilityCapabilities Index (ECI)67%5965
Inputs & features20%9035
Context window13%6124
Overall100%65/10054/100

Left out because at least one model lacks the data: price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Gemini 2.0 Flash vs DeepSeek-V3.1 specifications side by side
SpecificationGemini 2.0 FlashGoogleDeepSeek-V3.1DeepSeek
Capability
Capabilities Index (ECI)134.7139.9 (best)
ECI rank#116 of 148#100 of 148 (best)
Price per million tokens
Input—$0.385
Output—$1.25
Cached input——
Blended (3:1)—$0.601
Long-context rate—Same rate
Price source—Median of 8 providers
Limits
Context window1,048,576 tokens (best)131,072 tokens
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioYesNo
VideoYesNo
ReasoningNoYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpenMIT License
API model ID——
API providers—8
ReleasedDec 11, 2024Aug 21, 2025
Knowledge cutoffJun 2024—
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Gemini 2.0 Flash—
  • DeepSeek-V3.1$6.35
04 — Questions

Which should you choose?

Which is better: Gemini 2.0 Flash or DeepSeek-V3.1?

Gemini 2.0 Flash is the better all-round choice, scoring 65/100 against DeepSeek-V3.1 (54). It leads on inputs & features and context window. DeepSeek-V3.1 wins on capability. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, Gemini 2.0 Flash or DeepSeek-V3.1?

DeepSeek-V3.1 is cheaper at $0.385 input / $1.25 output per million tokens (median across 8 API providers). . At a typical mix of three input tokens to one output token, that is $0.601 per million tokens for DeepSeek-V3.1 versus . Gemini 2.0 Flash has no published per-token price.

Which scores higher on benchmarks?

DeepSeek-V3.1 scores higher on the Capabilities Index (ECI): DeepSeek-V3.1 139.9 (#100 of 148) and Gemini 2.0 Flash 134.7 (#116 of 148). The confidence ranges of the top two overlap (136.1–143.3 vs 124.3–136.7), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.0 Flash and DeepSeek-V3.1 yet, so there is no like-for-like coding score. On overall capability, DeepSeek-V3.1 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 2.0 Flash has the largest context window at 1,048,576 tokens, against 131,072 for DeepSeek-V3.1. Maximum output per response: Gemini 2.0 Flash up to 8,192, DeepSeek-V3.1 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.0 Flash accepts text, images, PDFs, audio and video; DeepSeek-V3.1 accepts text. Gemini 2.0 Flash handles the widest range of inputs.

Are any of these open source?

DeepSeek-V3.1 publishes its weights (MIT License) and can be self-hosted; Gemini 2.0 Flash is proprietary.

Which is newer?

DeepSeek-V3.1 is the newest, released Aug 21, 2025. Gemini 2.0 Flash came out Dec 11, 2024. Knowledge cutoff: Gemini 2.0 Flash Jun 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.

05 — Keep comparing

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