Google: Gemma 3 27B
google/gemma-3-27b-it
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
google/gemma-3-27b-it is the instruct (-it) variant of Google's Gemma 3 27B model, listed on OpenRouter as accepting text and image inputs and producing text output. The catalog describes vision-language support, context windows up to 128k tokens, understanding of more than 140 languages, and improved math, reasoning, and chat abilities, plus tool calling and structured output parameters. These are source-reported capabilities, not independently measured results: the only evidence is the OpenRouter catalog, and no independent model card was available in this source pack.[1]
Strengths
- According to the OpenRouter catalog, it combines image-plus-text input with text output, a long context window, and support for more than 140 languages.[1]
- The catalog lists tool calling, tool choice, and structured output parameters, which may simplify building applications that need formatted replies.[1]
Limitations
- Evidence is catalog-only: no independent model card or verified benchmark data was available in this source pack, so capabilities need validation on real workloads.[1]
- The catalog reports a very low agentic-task index and no intelligence-index score, and does not flag dedicated reasoning support, so agentic performance should not be assumed.[1]
- Its listed knowledge cutoff is August 2024, and outputs are limited to text, so newer information and non-text generation are out of scope per the catalog.[1]
Where to use it
- Could suit multilingual chat or Q&A assistants that mix text prompts with images, pending testing on the target languages.[1]
- May fit vision-language tasks such as describing or summarizing image content, subject to workload validation.[1]
- Potentially useful for long-document summarization or analysis within its stated context window, once quality is verified.[1]
Sources
- [1] OpenRouter catalog · Google: Gemma 3 27BSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Specifications
- Model ID
- google/gemma-3-27b-it
- Creator
- Added to OpenRouter
- 12.03.2025
- Context length
- 131,072
- Modality
- text+image->text
- Input modalities
- text, image
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.080 / out $0.350
- Knowledge cutoff
- 31.08.2024
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | CC — below the B band | — |
| Agents | CC — below the B band | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 10.1 | CC — below the B band | 13.11.2026 |
| Artificial Analysis | Agentic index | 0.1 | CC — below the B band | 13.11.2026 |
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| DeepInfrafp8 | 131,072 | $0.080 | $0.160 | — | — | 100% |
| NextBitfp8 | 131,072 | $0.080 | $0.350 | — | — | 100% |
| Parasailfp8 | 131,072 | $0.080 | $0.450 | — | — | 100% |
| Nebiusfp8 | 110,000 | $0.100 | $0.300 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.