Gemma 4 31B model profile

Evidence snapshot:

Gemma 4 31B is a Google model profile with a 262,144-token context window. The dated catalog snapshot records image, text, video modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.

Gemma 4 31B is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.

Gemma 4 31B accepts image, text, and video and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces.

The dated reference snapshot lists $0.1 input and $0.34 output per million tokens. Cached input is $0.1 per million tokens.

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Gemma 4 31B ranked #25 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type
Model research profile
Provider or publisher
Google
Context window
262,144 tokens
Snapshot date
2026-08-12
Reference catalog ID
google/gemma-4-31b-it

Context, modalities, and identity

Gemma 4 31B accepts image, text, and video and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces.

Provider or publisher
Google
Context window
262,144 tokens
Maximum output
262,144 tokens
Input modalities
image, text, and video
Output modalities
text
Knowledge cutoff
Not disclosed

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters
frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_a, top_k, top_logprobs, top_p
  • prompt caching
  • reasoning controls
  • structured output
  • text generation
  • tool calling
  • video input
  • vision

Dated pricing snapshot

The dated reference snapshot lists $0.1 input and $0.34 output per million tokens. Cached input is $0.1 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date
2026-08-12
Input
$0.1 per 1M tokens
Cached input
$0.1 per 1M tokens
Output
$0.34 per 1M tokens

Benchmark evidence and limitations

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index
29.7
Coding Index
43.4
Agentic Index
14.4

Popularity and market context

Gemma 4 31B ranked #25 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank
#25
Global market share
Not inferred
Observation date
2026-08-12

Frequently asked questions

What is Gemma 4 31B?

Gemma 4 31B is a Google model profile with a 262,144-token context window. The dated catalog snapshot records image, text, video modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.

What context window does Gemma 4 31B have?

The dated profile lists 262,144 tokens of context and up to 262,144 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for Gemma 4 31B?

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Is Gemma 4 31B available through Kendr?

This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.

Does the popularity rank represent Gemma 4 31B's global market share?

Gemma 4 31B ranked #25 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one.

Sources and evidence dates

  1. Gemma 4 31B third-party catalog record (catalog, checked 2026-08-12)
  2. Third-party model catalog methodology (methodology, checked 2026-08-12)
  3. Google official model documentation (primary, checked 2026-08-12)
  4. Artificial Analysis capability indices methodology (benchmark, checked 2026-08-12)