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
- #337
- by active users
- Active users
- 1
- No change from 1 active users in the previous 7 days. vs previous 7 days
- Adoption
- 0.2%
- of 610 accounts
- Tokens
- 51.1K
- cache included
- Est. cost
- —
- at public list prices
- First seen
- Apr 7, 2026
- in any submission
Nov 6–12, 2026 (UTC)610 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:06 UTCHow we count
Daily active users
Distinct accounts that used this model on each UTC day.
0 active users on Nov 12, 2026
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Nov 6, 2026 | 1 | 34.7K |
| Nov 7, 2026 | 1 | 16.4K |
| Nov 8, 2026 | 0 | 0 |
| Nov 9, 2026 | 0 | 0 |
| Nov 10, 2026 | 0 | 0 |
| Nov 11, 2026 | 0 | 0 |
| Nov 12, 2026 | 0 | 0 |
Token mix
How the 51.1K tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.
- Input98%
- Output2.5%
- Cache read0%
- Cache write0%
- Reasoning0%
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.
Hermes Agent100% 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.
- Epoch Capabilities IndexOverall · Epoch AI144.3
Epoch Capabilities Index: 144.3
- Model
- Gemma 4 31B IT
- Listed as
- Gemma 4 31B IT
- Conditions
- Not reported
- Interval
- 141.7–146.8
- Unit
- ECI
- Model released
- Apr 2, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #94 of 158 matched modelsNo conditions reportedModel released Apr 2, 2026Source: epoch.ai (opens in a new tab) - GPQA DiamondReasoning · Epoch AI75.8%
GPQA Diamond: 75.8%
- Model
- Gemma 4 31B IT
- Listed as
- gemma-4-31b-it_minimal
- Conditions
- Minimal
- Unit
- % correct
- Run date
- Aug 6, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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 AI10.4%
SimpleQA Verified: 10.4%
- Model
- Gemma 4 31B IT
- Listed as
- gemma-4-31b-it
- Conditions
- Not reported
- Unit
- % correct
- Run date
- Aug 27, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #84 of 86 matched modelsNo conditions reportedRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)
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
0% 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 0% of Gemma 4 31B IT tokens in the last 7 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 7 days.
- The community mix is the tokens of every identified model in the last 7 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 BedrockReference
google.gemma-4-31b$0.14 input per 1M tokens$0.40 output per 1M tokensCache read not listedCache write not listed262K tokens of context - OpenRouter
google/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 Gateway
google/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 Infra
google/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
PROTIK MONDAL@MNDL-2751.1Ktokens—est. cost2active daysno price · 2 active days
More from Google
Other Google models in the same period, by active users.
- Gemini 3.8 Flash N5.7% adoption35active users
- Gemini 4 Argon4.3% adoption26active users
- Gemini 4 Argon Trial3.8% adoption23active users
- Gemini 3.8 Flash2.8% adoption17active users
- Gemini 4 Carbon1.5% adoption9active users
- Gemini 3.8 Flash Tiered1.1% adoption7active users
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.