Gemma 4 31B IT

GoogleKey gemma-4-31b-itAlso reported as /share/models/gemma-4-31b-it, google/gemma-4-31b-it, gemini/gemma-4-31b-it

Rank
#261
by active users
Active users
37
All time
Adoption
1.5%
of 2,457 accounts
Tokens
1.2B
cache included
Est. cost
$126
at public list prices
First seen
Apr 7, 2026
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:13 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for Gemma 4 31B IT, Oct 10, 2024 to Nov 12, 2026. Peak 5. Use the left and right arrow keys to read each day.530
Show daily values
Daily active users and tokens for Gemma 4 31B IT
Date (UTC)Active usersTokens
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Apr 7, 20261207K
Apr 8, 202635.2M
Apr 9, 202612.7M
Apr 10, 202600
Apr 11, 2026130.7K
Apr 12, 2026179.2K
Apr 13, 20263209K
Apr 14, 202613.8M
Apr 15, 202644.1M
Apr 16, 202619.4M
Apr 17, 2026113.3M
Apr 18, 2026110.4M
Apr 19, 2026116.2M
Apr 20, 2026114.3M
Apr 21, 202615.4M
Apr 22, 202628.6M
Apr 23, 2026218.1M
Apr 24, 202625.8M
Apr 25, 202627.9M
Apr 26, 202612.4M
Apr 27, 2026287.3K
Apr 28, 2026192.9K
Apr 29, 2026116.9K
Apr 30, 20261206K
May 1, 2026118.4K
May 2, 20262867K
May 3, 20261333K
May 4, 202616.3M
May 5, 202600
May 6, 20262965K
May 7, 202600
May 8, 202600
May 9, 202611.4M
May 10, 202600
May 11, 202600
May 12, 2026116.4K
May 13, 2026211.6M
May 14, 2026211.9M
May 15, 20262593K
May 16, 202622M
May 17, 202629.6M
May 18, 20261181K
May 19, 20262473K
May 20, 20262644K
May 21, 20262236K
May 22, 20261231K
May 23, 20261388K
May 24, 20261882K
May 25, 20261324K
May 26, 20261363K
May 27, 20262530K
May 28, 202621.6M
May 29, 20262638K
May 30, 20262860K
May 31, 20261482K
Jun 1, 20263879K
Jun 2, 2026411.1M
Jun 3, 202638.7M
Jun 4, 202634.1M
Jun 5, 202626M
Jun 6, 202628.5M
Jun 7, 202637.7M
Jun 8, 202635.6M
Jun 9, 202635.2M
Jun 10, 202647.2M
Jun 11, 202636.2M
Jun 12, 202637.6M
Jun 13, 202639.4M
Jun 14, 2026310.7M
Jun 15, 202636.3M
Jun 16, 202636.9M
Jun 17, 202637.1M
Jun 18, 202646.9M
Jun 19, 202637.4M
Jun 20, 202628.8M
Jun 21, 202628.7M
Jun 22, 202626M
Jun 23, 202626.1M
Jun 24, 202636.5M
Jun 25, 202646.1M
Jun 26, 202626.3M
Jun 27, 202627.5M
Jun 28, 202637.8M
Jun 29, 202636.6M
Jun 30, 2026436M
Jul 1, 2026412.3M
Jul 2, 2026525.3M
Jul 3, 2026443.7M
Jul 4, 2026413.6M
Jul 5, 2026315.5M
Jul 6, 2026315.8M
Jul 7, 2026315.3M
Jul 8, 2026312.8M
Jul 9, 202637.6M
Jul 10, 202637.1M
Jul 11, 202628.6M
Jul 12, 202638.8M
Jul 13, 202637.6M
Jul 14, 202636.8M
Jul 15, 202646.7M
Jul 16, 202637.9M
Jul 17, 2026310.2M
Jul 18, 2026410.6M
Jul 19, 202639.9M
Jul 20, 202638.4M
Jul 21, 202635.9M
Jul 22, 202645.9M
Jul 23, 202647M
Jul 24, 202649.7M
Jul 25, 2026310.9M
Jul 26, 2026313.3M
Jul 27, 202639.3M
Jul 28, 202637.1M
Jul 29, 2026310.1M
Jul 30, 202637.5M
Jul 31, 202637.4M
Aug 1, 202632.3M
Aug 2, 202639.2M
Aug 3, 2026316M
Aug 4, 2026328.2M
Aug 5, 2026335M
Aug 6, 2026419.1M
Aug 7, 2026325.9M
Aug 8, 2026318.7M
Aug 9, 2026325M
Aug 10, 202622M
Aug 11, 20263913K
Aug 12, 2026323.6M
Aug 13, 2026321.2M
Aug 14, 2026327.5M
Aug 15, 2026315.2M
Aug 16, 2026324.9M
Aug 17, 202625.9M
Aug 18, 202621.2M
Aug 19, 202625.5M
Aug 20, 202621.1M
Aug 21, 2026212.1M
Aug 22, 2026212.8M
Aug 23, 202627.2M
Aug 24, 202622.4M
Aug 25, 20262981K
Aug 26, 202621.8M
Aug 27, 20262901K
Aug 28, 202621.1M
Aug 29, 202621M
Aug 30, 202621.2M
Aug 31, 202621.1M
Sep 1, 202621.2M
Sep 2, 202631.5M
Sep 3, 20262982K
Sep 4, 20262797K
Sep 5, 202621.2M
Sep 6, 202621.2M
Sep 7, 202631.3M
Sep 8, 20262941K
Sep 9, 202621.2M
Sep 10, 202621.1M
Sep 11, 202621.1M
Sep 12, 202621.6M
Sep 13, 202621.5M
Sep 14, 202621.3M
Sep 15, 202621M
Sep 16, 202621.1M
Sep 17, 202621.2M
Sep 18, 202621.3M
Sep 19, 202621.7M
Sep 20, 202621M
Sep 21, 20262806K
Sep 22, 202621M
Sep 23, 202621.2M
Sep 24, 20262760K
Sep 25, 202621.3M
Sep 26, 20262933K
Sep 27, 202621.8M
Sep 28, 20261812K
Sep 29, 20261780K
Sep 30, 20261880K
Oct 1, 20261707K
Oct 2, 20261660K
Oct 3, 202611M
Oct 4, 20261562K
Oct 5, 20261647K
Oct 6, 20261772K
Oct 7, 202611.2M
Oct 8, 20261780K
Oct 9, 20261624K
Oct 10, 20262642K
Oct 11, 202611.1M
Oct 12, 20262697K
Oct 13, 20261712K
Oct 14, 20261710K
Oct 15, 20261727K
Oct 16, 20262821K
Oct 17, 202611M
Oct 18, 20261904K
Oct 19, 20261771K
Oct 20, 20261744K
Oct 21, 20261749K
Oct 22, 20261824K
Oct 23, 202611.4M
Oct 24, 202611.1M
Oct 25, 20261662K
Oct 26, 20261770K
Oct 27, 20261905K
Oct 28, 20261734K
Oct 29, 20262700K
Oct 30, 20261903K
Oct 31, 202611.6M
Nov 1, 202612M
Nov 2, 202611.6M
Nov 3, 20261237K
Nov 4, 202600
Nov 5, 202600
Nov 6, 2026134.7K
Nov 7, 2026116.4K
Nov 8, 202600
Nov 9, 202600
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Nov 12, 202600

Token mix

How the 1.2B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input87%
  • Output2.4%
  • Cache read11%
  • Cache write0%
  • Reasoning<0.1%

Agents that carry Gemma 4 31B IT

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. Claude Code57% of this model's tokens4active users
  2. Hermes Agent28% of this model's tokens6active users
  3. OpenClaw9.6% of this model's tokens1active users
  4. OpenCode4.8% of this model's tokens17active users
  5. Senpi (OmO Native)0.2% of this model's tokens2active users
  6. Pi0.2% of this model's tokens9active users
  7. Gemini CLI0.1% of this model's tokens2active users
  8. Kilo<0.1% of this model's tokens1active users
  9. Copilot<0.1% of this model's tokens1active users
  10. Goose<0.1% of this model's tokens1active users

Benchmarks

The best result for Gemma 4 31B IT in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    144.3
    Rank #94 of 158 matched modelsNo conditions reportedModel released Apr 2, 2026Source: epoch.ai (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    75.8%
    Rank #101 of 160 matched modelsMinimalRun date Aug 6, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

  • SimpleQA VerifiedKnowledge · Epoch AI
    10.4%
    Rank #84 of 86 matched modelsNo conditions reportedRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, FrontierMath Tiers 1–3 (v2), Terminal-Bench 4.1, CursorBench, DeepSWE, FrontierSWE, Agent Arena, WebDev Arena. A missing result is not a score of zero.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. Amazon Bedrock is the reference price for the estimates below. It is the first provider listed; models.dev lists no price from the lab's own API.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.15
Est. per 1M tokens
11% cache reads
At the community mix
$0.14
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$0.21
Per 1M tokens at list prices
No cache

Cache reads were 11% of Gemma 4 31B IT tokens across all time and 93% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • Amazon Bedrock list prices per 1M tokens: input $0.14, output $0.40.
  • This model's mix is its own input, output, cache and reasoning tokens across all time.
  • The community mix is the tokens of every identified model across all time.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
  • No cache-read price is listed, so cache reads are priced as input.
  • No cache-write price is listed, so cache writes are priced as input.

List prices by provider

  • Amazon BedrockReferencegoogle.gemma-4-31b
    $0.14 input per 1M tokens$0.40 output per 1M tokensCache read not listedCache write not listed262K tokens of context
  • OpenRoutergoogle/gemma-4-31b-it
    $0.20 input per 1M tokens$0.40 output per 1M tokensCache read not listedCache write not listed262K tokens of context
  • Vercel AI Gatewaygoogle/gemma-4-31b-it
    $0.14 input per 1M tokens$0.40 output per 1M tokensCache read not listedCache write not listed262K tokens of context
  • Deep Infragoogle/gemma-4-31B-it
    $0.20 input per 1M tokens$0.40 output per 1M tokensCache read not listedCache write not listed262K tokens of context

Specs

From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
262K tokens
Max output
33K tokens
Input
Text, Image
Output
Text
Knowledge cutoff
— not listed
Release date
Apr 2, 2026
Open weights
Yes
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Gemma 4 31B IT most in this period, by tokens. Hidden accounts are never listed.

  1. 1KucoSang@Kuco-dev662.1Mtokens$79est. cost80active days$79 est. cost · 80 active days
  2. 2Jelloeater@Jelloeater248.4Mtokens$17est. cost126active days$17 est. cost · 126 active days
  3. 3Randy Chang@raw34198Mtokens$25est. cost155active days$25 est. cost · 155 active days
  4. 4Nuno Gonçalves @NunoGoncalves0634.4Mtokens<$1est. cost7active days<$1 est. cost · 7 active days
  5. 5Clement mondary@mondary13.3Mtokens<$1est. cost7active days<$1 est. cost · 7 active days
  6. 6NSK@professional-ALFIE6.4Mtokens<$1est. cost6active days<$1 est. cost · 6 active days
  7. 7PROTIK MONDAL@MNDL-276Mtokens<$1est. cost7active days<$1 est. cost · 7 active days
  8. 8trin4ik@trin4ik5.1Mtokens<$1est. cost1active days<$1 est. cost · 1 active days
  9. 9Seunghyuk Choi@ColdTbrew2.7Mtokens<$1est. cost1active days<$1 est. cost · 1 active days
  10. 10jc01rho@jc01rho2.2Mtokens<$1est. cost20active days<$1 est. cost · 20 active days

More from Google

Other Google models in the same period, by active users.

  1. Gemini 3 Flash Preview39% adoption956active users
  2. Gemini 3 Pro Preview28% adoption676active users
  3. Gemini 3.1 Pro Preview25% adoption612active users
  4. Gemini 2.5 Pro25% adoption607active users
  5. Gemini 2.5 Flash24% adoption590active users
  6. Gemini 3.8 Flash12% adoption286active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • Epoch AIEpoch Capabilities Index, Epoch's own runs and the external results it collects.CC BY 4.0 · Retrieved Nov 12, 2026 · Data through Nov 9, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • models.devSpecs and list prices per provider.MIT · Retrieved Nov 12, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count