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Model details

Gemma 3 27B IT

Gemma 3 27B IT is the instruction-tuned flagship of Google's third-generation Gemma family, released on March 12, 2025 as an open-weight successor to Gemma 2. Its weights are published on Hugging Face under the Gemma License, with community-quantized GGUF builds (Q4_K_M, Q5_K_M, Q6_K, Q8_0) and an Ollama package making the model easy to run locally on consumer GPUs. It carries forward the architectural and training advances of Google's Gemini line, positioning the Gemma 3 series as a research-friendly counterpart aimed at developers who want state-of-the-art capability without closed-API constraints.

The model is multimodal on the input side, accepting both text and images while producing text outputs, and supports a context window that extends to roughly 128k tokens. Listed capabilities include structured outputs and function calling, enabling tool-augmented workflows and schema-driven generation alongside chat, reasoning, and math tasks. The combination of a long context, vision-language understanding, and developer-oriented tooling makes Gemma 3 27B IT a practical fit for assistants that need to reason over lengthy documents, mixed media inputs, or agentic pipelines that call external functions.

Novita AIgoogle/gemma-3-27b-itgemma

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Provider
Novita AI
Model key
google/gemma-3-27b-it
Release date
Mar 12, 2025
Last updated
Mar 12, 2025
Knowledge cutoff
2024-08
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.119
Output token cost
$0.20

Limits

Output tokens
16,384 tokens
Context window
98,304 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Gemma 3 27B IT

NovitaAI

CoverageBenchmark

Roboflow's Playground page provides independent specification corroboration for Gemma 3 27B: roughly 27 billion parameters, multimodal (text and image input, text output), a 128,000-token context window, 8,192-token max output, instruction-tuned for chat/reasoning/summarization, structured outputs and function calling Roboflow's vision-focused benchmark gives a 58.21% pass rate across 67 visual understanding tasks (ranked 51 of 77), an average response time of 33.60 seconds per task, and roughly $0.080 in inference cost across 65 inferences in the past 30 days. The page explicitly notes the Vision Evals section is legacy and the cur

NovitaAI

CoverageBenchmark

The OpenRouter marketplace listing for Google's Gemma 3 27B IT shows NovitaAI as one of five hosting providers, with provider-specific data: $0.119 per million input tokens, $0.20 per million output tokens, 0.55s latency, 32 tokens/sec throughput, 94.35% uptime, and roughly 9.9% token share. Effective 30-day weighted-a The listing confirms Gemma 3 27B's core capabilities: multimodal vision-language input with text output, up to a 262K context window as reported by OpenRouter (versus Google's documented 128K native, a noted discrepancy), 140+ language support, structured outputs, and function calling, with a March 12, 2025 release and

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