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
#260
by active users
Active users
3
No change from 3 active users in the previous 30 days. vs previous 30 days
Adoption
0.3%
of 958 accounts
Tokens
19.8M
cache included
Est. cost
<$1
at public list prices
First seen
Apr 7, 2026
in any submission

Oct 14 – Nov 12, 2026 (UTC)958 accounts100% of tokens from an identified modelData through Nov 12, 2026, 01:50 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 14, 2026 to Nov 12, 2026. Peak 2. Use the left and right arrow keys to read each day.210
Show daily values
Daily active users and tokens for Gemma 4 31B IT
Date (UTC)Active usersTokens
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
Nov 10, 202600
Nov 11, 202600
Nov 12, 202600

Token mix

How the 19.8M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input37%
  • Output0.6%
  • Cache read62%
  • Cache write0%
  • Reasoning0.7%

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. Hermes Agent100% of this model's tokens2active users
  2. OpenCode0.1% 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
    143.0
    Rank #97 of 160 matched modelsNo conditions reportedModel released Apr 2, 2026Source: epoch.ai (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    75.8%
    Rank #95 of 151 matched modelsMinimalRun date Aug 6, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.4%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

  • SimpleQA VerifiedKnowledge · Epoch AI
    10.4%
    Rank #78 of 80 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 4.0, 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 Oct 21, 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
$0.14
Est. per 1M tokens
62% cache reads
At the community mix
$0.14
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$0.21
Per 1M tokens at list prices
No cache

Cache reads were 62% of Gemma 4 31B IT tokens in the last 30 days and 96% 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 in the last 30 days.
  • The community mix is the tokens of every identified model in the last 30 days.
  • 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 Oct 21, 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. 1Jelloeater@Jelloeater19.7Mtokens<$1est. cost21active days<$1 est. cost · 21 active days
  2. 2PROTIK MONDAL@MNDL-2764.2Ktokens<$1est. cost3active days<$1 est. cost · 3 active days
  3. 3Yustar@yuzutaru23.7Ktokens<$1est. cost1active days<$1 est. cost · 1 active days

More from Google

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

  1. Gemini 3.8 Flash N14% adoption138active users
  2. Gemini 4 Argon8.6% adoption82active users
  3. Gemini 4 Argon Trial7.7% adoption74active users
  4. Gemini 3.8 Flash6.9% adoption66active users
  5. Gemini 3.8 Flash Tiered3.7% adoption35active users
  6. Gemini 4 Argon High1.8% adoption17active 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 Oct 21, 2026 · Data through Oct 15, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • models.devSpecs and list prices per provider.MIT · Retrieved Oct 21, 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