--- title: "Gemma 3 27B AI model: facts and benchmarks | Kendr" canonical: "https://kendr.org/models/google-gemma-3-27b-it" date_modified: "2026-08-12" profile_kind: "reference" --- # Gemma 3 27B model profile Gemma 3 27B is a Google model profile with a 262,144-token context window. The dated catalog snapshot records text, image modalities and interfaces for prompt caching, structured output, text generation, tool calling, vision. Gemma 3 27B 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 3 27B accepts text and image and returns text. The snapshot records prompt caching, structured output, text generation, tool calling, and vision as capabilities or interfaces. The dated reference snapshot lists $0.08 input and $0.45 output per million tokens. Cached input is $0.04 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 3 27B ranked #90 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-3-27b-it ## Context, modalities, and identity Gemma 3 27B accepts text and image and returns text. The snapshot records prompt caching, structured output, text generation, tool calling, and vision as capabilities or interfaces. - **Provider or publisher:** Google - **Context window:** 262,144 tokens - **Maximum output:** 131,072 tokens - **Input modalities:** text and image - **Output modalities:** text - **Knowledge cutoff:** 2024-08-31 ## 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, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p - prompt caching - structured output - text generation - tool calling - vision ## Dated pricing snapshot The dated reference snapshot lists $0.08 input and $0.45 output per million tokens. Cached input is $0.04 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:** $0.08 per 1M tokens - **Cached input:** $0.04 per 1M tokens - **Output:** $0.45 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:** 7.4 - **Coding Index:** 10.1 - **Agentic Index:** 0.3 ## Popularity and market context Gemma 3 27B ranked #90 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:** #90 - **Global market share:** Not inferred - **Observation date:** 2026-08-12 ## Frequently asked questions ### What is Gemma 3 27B? Gemma 3 27B is a Google model profile with a 262,144-token context window. The dated catalog snapshot records text, image modalities and interfaces for prompt caching, structured output, text generation, tool calling, vision. ### What context window does Gemma 3 27B have? The dated profile lists 262,144 tokens of context and up to 131,072 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits. ### What benchmark evidence is available for Gemma 3 27B? 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 3 27B 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 3 27B's global market share? Gemma 3 27B ranked #90 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 - [Gemma 3 27B third-party catalog record](https://openrouter.ai/google/gemma-3-27b-it) — catalog, checked 2026-08-12 - [Third-party model catalog methodology](https://openrouter.ai/docs/guides/overview/models) — methodology, checked 2026-08-12 - [Google official model documentation](https://ai.google.dev/gemini-api/docs/models) — primary, checked 2026-08-12 - [Artificial Analysis capability indices methodology](https://artificialanalysis.ai/methodology/capability-indices) — benchmark, checked 2026-08-12 Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.