ZMIME
Comparison · 3 models · Updated Oct 4, 2026

DeepSeek-R1 vs DeepSeek V4 Pro 0813 vs Gemini 3.6 Flash

Gemini 3.6 Flash comes out ahead, 73 to 68 and 51 on our weighted score, though DeepSeek V4 Pro 0813 is 34% cheaper per token.

  1. DeepSeek

    DeepSeek-R1

    Released Jan 20, 2025

    51/100
    • ECI139.0
    • Price$0.70 / $2.60
    • Context128K
  2. DeepSeek

    DeepSeek V4 Pro 0813

    Released Aug 12, 2026

    68/100
    • ECI155.4
    • Price$0.66 / $1.98
    • Context1M
  3. Our pick

    Google

    Gemini 3.6 Flash

    Released Jul 21, 2026

    73/100
    • ECI154.3
    • Price$0.75 / $3.75
    • Context1.05M
01 — Verdict

Gemini 3.6 Flash is our pick

Gemini 3.6 Flash is the better all-round choice, scoring 73/100 against DeepSeek V4 Pro 0813 (68) and DeepSeek-R1 (51). It leads on inputs & features. DeepSeek V4 Pro 0813 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek V4 Pro 0813Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.4 · Gemini 3.6 Flash 154.3 · DeepSeek-R1 139.0
  • Lowest priceDeepSeek V4 Pro 0813DeepSeek V4 Pro 0813 $0.99 · DeepSeek-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 V4 Pro 0813 1,000,000 · DeepSeek-R1 128,000 tokens
  • Widest inputsGemini 3.6 FlashDeepSeek-R1: Text · DeepSeek V4 Pro 0813: Text · Gemini 3.6 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingDeepSeek-R1 and DeepSeek V4 Pro 0813Publishes downloadable weights (MIT)
How the score is built
MeasureWeightDeepSeek-R1DeepSeek V4 Pro 0813Gemini 3.6 Flash
CapabilityCapabilities Index (ECI)50%648584
Price25%475042
Inputs & features15%3545100
Context window10%246061
Overall100%51/10068/10073/100
02 — Side by side

Every spec in one table

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

DeepSeek-R1 vs DeepSeek V4 Pro 0813 vs Gemini 3.6 Flash specifications side by side
SpecificationDeepSeek-R1DeepSeekDeepSeek V4 Pro 0813DeepSeekGemini 3.6 FlashGoogle
Capability
Capabilities Index (ECI)139.0155.4 (best)154.3
ECI rank#104 of 148#26 of 148 (best)#34 of 148
GPQA DiamondGraduate-level science questions71.7%91.7%94.1% (best)
FrontierMath Tiers 1–3Research-level mathematics—64.6% (best)59.0%
OTIS Mock AIME 2024–2025Competition mathematics53.3%98.6% (best)94.2%
SimpleQA VerifiedShort factual questions—52.9%66.2% (best)
Price per million tokens
Input$0.70$0.66 (best)$0.75
Output$2.60$1.98 (best)$3.75
Cached input—$0.022 (best)$0.075
Blended (3:1)$1.18$0.99 (best)$1.50
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 11 providersOfficial DeepSeek APIOfficial Google API
Limits
Context window128,000 tokens1,000,000 tokens1,048,576 tokens (best)
Max output32,768 tokens384,000 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoYes
AudioNoNoYes
VideoNoNoYes
ReasoningYesYeslow · high · maxYesminimal · low · medium · high
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsOpenOpenMITProprietary
API model ID—deepseek-v4-progemini-3.6-flash
API providers1237 (best)25
ReleasedJan 20, 2025Aug 12, 2026Jul 21, 2026
Knowledge cutoffJul 2024—Mar 2026
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.

  • DeepSeek-R1$12.20
  • DeepSeek V4 Pro 0813$10.56
  • Gemini 3.6 Flash$15.00
04 — Questions

Which should you choose?

Which is better: DeepSeek-R1, DeepSeek V4 Pro 0813 or Gemini 3.6 Flash?

Gemini 3.6 Flash is the better all-round choice, scoring 73/100 against DeepSeek V4 Pro 0813 (68) and DeepSeek-R1 (51). It leads on 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, DeepSeek-R1, DeepSeek V4 Pro 0813 or Gemini 3.6 Flash?

DeepSeek V4 Pro 0813 is cheaper at $0.66 input / $1.98 output per million tokens (official DeepSeek API price). DeepSeek-R1 costs $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 $0.99 per million tokens for DeepSeek V4 Pro 0813 versus $1.18 for DeepSeek-R1 (1.2× as much) and $1.50 for Gemini 3.6 Flash (1.5× as much).

Which scores higher on benchmarks?

DeepSeek V4 Pro 0813 scores higher on the Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.4 (#26 of 148), Gemini 3.6 Flash 154.3 (#34 of 148) and DeepSeek-R1 139.0 (#104 of 148). The confidence ranges of the top two overlap (153.7–157.6 vs 152.6–156.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 3.6 Flash 94.1%, DeepSeek V4 Pro 0813 91.7%, DeepSeek-R1 71.7%; OTIS Mock AIME 2024–2025 — DeepSeek V4 Pro 0813 98.6%, Gemini 3.6 Flash 94.2%, DeepSeek-R1 53.3%.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek-R1, DeepSeek V4 Pro 0813 and Gemini 3.6 Flash yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4 Pro 0813 leads, which tends to carry over to coding, but test on your own codebase. All three 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 1,000,000 for DeepSeek V4 Pro 0813 and 128,000 for DeepSeek-R1. Maximum output per response: DeepSeek-R1 up to 32,768, DeepSeek V4 Pro 0813 up to 384,000, Gemini 3.6 Flash up to 65,536 tokens.

Which can read images, PDFs, audio or video?

DeepSeek-R1 accepts text; DeepSeek V4 Pro 0813 accepts text; Gemini 3.6 Flash accepts text, images, PDFs, audio and video. Gemini 3.6 Flash handles the widest range of inputs.

Are any of these open source?

DeepSeek-R1 and DeepSeek V4 Pro 0813 publishes its weights (MIT) and can be self-hosted; Gemini 3.6 Flash is proprietary.

Which is newer?

DeepSeek V4 Pro 0813 is the newest, released Aug 12, 2026. Gemini 3.6 Flash came out Jul 21, 2026; DeepSeek-R1 came out Jan 20, 2025. Knowledge cutoff: DeepSeek-R1 Jul 2024, Gemini 3.6 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.