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Gemini 3.8 Flash

Google · Balanced · Sep 2, 2026New

Google's newest generally available model: a fast multimodal workhorse that reads text, images, audio and video in a one-million-token context.

Announcement (opens in a new tab)
Artificial Analysis Intelligence Index
40.9#15 of 29 · high effort
API price per 1M tokens
$0.75 / $3.75input / output · $1.50 blended
Context window
1Mup to 66K output tokens
Output speed
125 t/s24s to first answer at high effort

Benchmark results

Each row shows this model (blue) against every other model in the catalogue (grey), worst on the left, best on the right.

Overall capability

  • Artificial Analysis Intelligence Index40.9#15 of 29

    High effort

    11.357.6
  • Epoch Capabilities Index156.7#8 of 16
    146.9167.3
  • LiveBench75.8%#15 of 23

    High effort

    63.9%83.4%

Coding

  • Terminal-Bench 4.019.1%#11 of 13

    Mini-SWE-agent harness, high effort

    14.6%64.8%
  • SWE-Bench Pro (V2 Hard)58.8%#5 of 5

    Mini-swe-agent harness, high effort

    58.8%92.2%
  • Arena WebDev1,583#17 of 27

    High effort, preliminary rating

    1,2631,814

Agents & professional work

  • GDPval-AA1,436#15 of 18

    High effort

    1,2421,866
  • Vending-Bench 2$5,094#8 of 9
    $2,158$15,515

Reasoning

  • ARC-AGI-289.2%#5 of 11

    High effort

    42.4%95%
  • ARC-AGI-310.4%#3 of 5

    High effort

    0.2%62.7%
  • FrontierMath (Tiers 1–3)68.4%#11 of 14

    High effort

    53%93.7%
  • MathArena35.3%#10 of 10
    35.3%90.1%
  • SimpleBench82.4%#5 of 12
    45.8%88.4%

Knowledge & science

  • Humanity's Last Exam (Diamond)34.3%#4 of 9
    13.4%60.6%
  • GPQA Diamond95.4%#3 of 14

    High effort

    90.2%95.8%

Multimodal

  • Arena Vision1,290#3 of 15

    High effort, preliminary rating

    1,1991,301

Human preference

  • Arena Text1,495#4 of 24

    High effort, preliminary rating

    1,4251,525

Reasoning effort trade-offs

The same model at different thinking budgets. More effort buys a higher intelligence score at a higher cost per task and a longer wait. Measured by Artificial Analysis.

EffortScoreCost / taskFirst answerSpeed
Low
33.5
—Not measured—Not measured—Not measured
Medium
39.8
$0.93—Not measured—Not measured
High (headline score)
40.9
$1.2424s125 t/s

Specs & pricing

Developer
Google
Released
Sep 2, 2026
Availability
Generally available
API model ID
gemini-3.8-flash
Weights
Proprietary (API only)
Reasoning
Adjustable effort
Knowledge cutoff
Mar 2026
Accepts
Text, Image, Video, Audio
Produces
Text
Context window
1,048,576 tokens
Max output
65,536 tokens
Input price
$0.75 / 1M tokens
Output price
$3.75 / 1M tokens
Cached input
$0.075 / 1M tokens

Introductory price until 31 December 2026; from January 2027 it doubles to $1.50 input / $7.50 output per 1M tokens.

Closest alternatives

Models from other labs nearest to Gemini 3.8 Flash on Artificial Analysis Intelligence Index.

  • GLM-5.3-Flash

    Z.ai

    Intelligence 41.8 · $0.15 / $0.50

    Compare side by side
  • Qwen3.8-Flash-Next

    Alibaba

    Intelligence 39.8 · $0.15 / $0.47

    Compare side by side
  • DeepSeek-V4.1-Flash

    DeepSeek

    Intelligence 39.5 · $0.30 / $1.20

    Compare side by side

Sources

  • Announcement (opens in a new tab)
  • Model documentation (opens in a new tab)
  • Model card (opens in a new tab)
  • Pricing (opens in a new tab)
Yardstick

A plain reading of how today’s SI models compare. Scores are taken from each benchmark’s own leaderboard wherever one exists; anything a lab reported about its own model is marked.

Data as of Oct 8, 2026.

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Sources

  • Artificial Analysis (opens in a new tab)
  • Arena (opens in a new tab)
  • Epoch AI Benchmarking Hub (opens in a new tab)
  • ARC Prize (opens in a new tab)
  • Terminal-Bench (opens in a new tab)
  • Scale AI Labs (opens in a new tab)

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