Google: Gemma 4 26B A4B

google/gemma-4-26b-a4b-it

Released Apr 3, 2026262,144 context

$0.13/M input tokens$0.40/M output tokens

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at a fraction of the compute cost. Supports multimodal input including text, images, and video (up to 60s at 1fps). Features a 256K token context window, native function calling, configurable thinking/reasoning mode, and structured output support. Released under Apache 2.0.

Providers for Gemma 4 26B A4B

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Gemma 4 26B A4B

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Effective Pricing for Gemma 4 26B A4B

Actual cost per million tokens across providers over the past hour

Apps using Gemma 4 26B A4B

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Recent activity on Gemma 4 26B A4B

Total usage per day on OpenRouter

Prompt

274M

Completion

15.6M

Reasoning

2.88M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Gemma 4 26B A4B

Uptime stats for Gemma 4 26B A4B across all providers

Sample code and API for Gemma 4 26B A4B

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

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Using third-party SDKs

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See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.