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Comparison · 3 models · Updated Oct 4, 2026

Gemini 2.5 Flash vs Grok 4.20 (Reasoning) vs DeepSeek-V3.1

Too close to call on our weighted score (Grok 4.20 (Reasoning) 68, Gemini 2.5 Flash 68, DeepSeek-V3.1 55). The right pick depends on what you value most.

  1. Google

    Gemini 2.5 Flash

    Released Jun 17, 2025

    68/100
    • ECI140.8
    • Price$0.30 / $2.50
    • Context1.05M
  2. xAI

    Grok 4.20 (Reasoning)

    Released Mar 9, 2026

    68/100
    • ECI152.0
    • Price$1.25 / $2.50
    • Context1M
  3. DeepSeek

    DeepSeek-V3.1

    Released Aug 21, 2025

    55/100
    • ECI139.9
    • Price$0.385 / $1.25
    • Context131K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Grok 4.20 (Reasoning) 68/100, Gemini 2.5 Flash 68/100, DeepSeek-V3.1 55/100), so choose by what matters most for your work: Grok 4.20 (Reasoning) for raw capability, DeepSeek-V3.1 on price and Gemini 2.5 Flash for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGrok 4.20 (Reasoning)Capabilities Index (ECI): Grok 4.20 (Reasoning) 152.0 · Gemini 2.5 Flash 140.8 · DeepSeek-V3.1 139.9
  • Lowest priceDeepSeek-V3.1DeepSeek-V3.1 $0.601 · Gemini 2.5 Flash $0.85 · Grok 4.20 (Reasoning) $1.56 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 FlashGemini 2.5 Flash 1,048,576 · Grok 4.20 (Reasoning) 1,000,000 · DeepSeek-V3.1 131,072 tokens
  • Widest inputsGemini 2.5 FlashGemini 2.5 Flash: Text, Images, PDFs, Audio, Video · Grok 4.20 (Reasoning): Text, Images, PDFs · DeepSeek-V3.1: Text
  • Self-hostingDeepSeek-V3.1Publishes downloadable weights (MIT License)
How the score is built
MeasureWeightGemini 2.5 FlashGrok 4.20 (Reasoning)DeepSeek-V3.1
CapabilityCapabilities Index (ECI)50%678165
Price25%534160
Inputs & features15%1008035
Context window10%616024
Overall100%68/10068/10055/100
02 — Side by side

Every spec in one table

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

Gemini 2.5 Flash vs Grok 4.20 (Reasoning) vs DeepSeek-V3.1 specifications side by side
SpecificationGemini 2.5 FlashGoogleGrok 4.20 (Reasoning)xAIDeepSeek-V3.1DeepSeek
Capability
Capabilities Index (ECI)140.8152.0 (best)139.9
ECI rank#97 of 148#41 of 148 (best)#100 of 148
GPQA DiamondGraduate-level science questions—89.3%—
FrontierMath Tiers 1–3Research-level mathematics—44.9%—
OTIS Mock AIME 2024–2025Competition mathematics—92.2%—
SimpleQA VerifiedShort factual questions—30.2%—
Price per million tokens
Input$0.30 (best)$1.25$0.385
Output$2.50$2.50$1.25 (best)
Cached input$0.03 (best)$0.20—
Blended (3:1)$0.85$1.56$0.601 (best)
Long-context rateSame rateOver 200K: $2.50 / $5.00Same rate
Price sourceOfficial Google APIOfficial xAI APIMedian of 8 providers
Limits
Context window1,048,576 tokens (best)1,000,000 tokens131,072 tokens
Max output65,536 tokens (best)30,000 tokens8,192 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesYesNo
AudioYesNoNo
VideoYesNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryOpenMIT License
API model IDgemini-2.5-flashgrok-4.20-0309-reasoning—
API providers22 (best)118
ReleasedJun 17, 2025Mar 9, 2026Aug 21, 2025
Knowledge cutoffJan 2025——
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 2.5 Flash$8.00
  • Grok 4.20 (Reasoning)$17.50
  • DeepSeek-V3.1$6.35
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Flash, Grok 4.20 (Reasoning) or DeepSeek-V3.1?

It is close. Our weighted score puts them within a point (Grok 4.20 (Reasoning) 68/100, Gemini 2.5 Flash 68/100, DeepSeek-V3.1 55/100), so choose by what matters most for your work: Grok 4.20 (Reasoning) for raw capability, DeepSeek-V3.1 on price and Gemini 2.5 Flash for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 2.5 Flash, Grok 4.20 (Reasoning) or DeepSeek-V3.1?

DeepSeek-V3.1 is cheaper at $0.385 input / $1.25 output per million tokens (median across 8 API providers). Gemini 2.5 Flash costs $0.30 input / $2.50 output per million tokens (official Google API price); Grok 4.20 (Reasoning) costs $1.25 input / $2.50 output per million tokens (official xAI API price). At a typical mix of three input tokens to one output token, that is $0.601 per million tokens for DeepSeek-V3.1 versus $0.85 for Gemini 2.5 Flash (1.4× as much) and $1.56 for Grok 4.20 (Reasoning) (2.6× as much).

Which scores higher on benchmarks?

Grok 4.20 (Reasoning) scores higher on the Capabilities Index (ECI): Grok 4.20 (Reasoning) 152.0 (#41 of 148), Gemini 2.5 Flash 140.8 (#97 of 148) and DeepSeek-V3.1 139.9 (#100 of 148). Their confidence ranges do not overlap (149.3–154.4 vs 138.5–142.3), so the gap is a real one.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.5 Flash, Grok 4.20 (Reasoning) and DeepSeek-V3.1 yet, so there is no like-for-like coding score. On overall capability, Grok 4.20 (Reasoning) 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 2.5 Flash has the largest context window at 1,048,576 tokens, against 1,000,000 for Grok 4.20 (Reasoning) and 131,072 for DeepSeek-V3.1. Maximum output per response: Gemini 2.5 Flash up to 65,536, Grok 4.20 (Reasoning) up to 30,000, DeepSeek-V3.1 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Flash accepts text, images, PDFs, audio and video; Grok 4.20 (Reasoning) accepts text, images and PDFs; DeepSeek-V3.1 accepts text. Gemini 2.5 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 2.5 Flash and Grok 4.20 (Reasoning) is proprietary.

Which is newer?

Grok 4.20 (Reasoning) is the newest, released Mar 9, 2026. DeepSeek-V3.1 came out Aug 21, 2025; Gemini 2.5 Flash came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Flash Jan 2025.

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.