Is Gemma 4 26B A4B (free) free?

Yes. The pricing shown on this page for Gemma 4 26B A4B (free) is zero, so you are not charged for prompt or completion tokens. Free endpoints are rate limited — see the rate limit docs.

What is the context length of Gemma 4 26B A4B (free)?

Gemma 4 26B A4B (free) has a 262,144 token context window. It supports up to 32,768 completion tokens.

Does Gemma 4 26B A4B (free) support tool calling and structured outputs?

Yes. Gemma 4 26B A4B (free) accepts tools and tool_choice for function calling. It supports response_format for JSON output, without JSON-schema enforcement.

What inputs and outputs does Gemma 4 26B A4B (free) support?

Gemma 4 26B A4B (free) accepts images, text, and video as input and returns text.

Which providers serve Gemma 4 26B A4B (free)?

Gemma 4 26B A4B (free) is served by 1 provider on OpenRouter: Google AI Studio.

What other text models does Google have?

Gemini 4 Hydrogen, Gemini Decision 1, Gemini 4 Carbon and 31 more are other text models from Google.

When was Gemma 4 26B A4B (free) released?

Gemma 4 26B A4B (free) was released on April 3, 2026.

Google: Gemma 4 26B A4B (free)

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

Model weights

Compare

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.

Modalities

Price

Free

Context

262K

Released

Apr 3, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	Free	Free	1.25s	39 tok/s	99.82%

Input FreeOutput Free
39 tok/s99.82% uptime

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Throughput

39tok/s

P50, best across providers

Latency

1.25s

P50, best provider

AutoExacto benchmarks

GPQA DiamondTAU-BenchCoreWeave77.3%--Parasail77.1%--SiliconFlow76.8%--PrimeIntellect79.0%68.4%Cloudflare80.3%65.9%

+11 more providers

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.04%

Availability over the last 3 days

Last 72 hours

Availability 99.04%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

98.90%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Google: Gemma 4 26B A4B (free) (Artificial Analysis)
Source	Benchmark	Score
Artificial Analysis	Gemma 4 26B A4B (Non-reasoning) GPQA Diamond	71.4%
Artificial Analysis	Gemma 4 26B A4B (Non-reasoning) HLE	11.5%
Artificial Analysis	Gemma 4 26B A4B (Non-reasoning) IFBench	45.4%
Artificial Analysis	Gemma 4 26B A4B (Non-reasoning) τ²-Bench Telecom	40.4%
Artificial Analysis	Gemma 4 26B A4B (Non-reasoning) AA-LCR	42.3%
Artificial Analysis	Gemma 4 26B A4B (Non-reasoning) CritPt	0.0%
Artificial Analysis	Gemma 4 26B A4B (Non-reasoning) Terminal-Bench Hard	25.0%
Artificial Analysis	Gemma 4 26B A4B (Reasoning) Coding Index	39.3
Artificial Analysis	Gemma 4 26B A4B (Reasoning) Agentic Index	2.9
Artificial Analysis	Gemma 4 26B A4B (Reasoning) GPQA Diamond	79.2%
Artificial Analysis	Gemma 4 26B A4B (Reasoning) HLE	19.3%
Artificial Analysis	Gemma 4 26B A4B (Reasoning) IFBench	72.4%
Artificial Analysis	Gemma 4 26B A4B (Reasoning) τ²-Bench Telecom	43.6%
Artificial Analysis	Gemma 4 26B A4B (Reasoning) AA-LCR	65.7%
Artificial Analysis	Gemma 4 26B A4B (Reasoning) τ-Bench Banking	12.0%
Artificial Analysis	Gemma 4 26B A4B (Reasoning) GDPval-AA	3.6%
Artificial Analysis	Gemma 4 26B A4B (Reasoning) CritPt	0.0%
Artificial Analysis	Gemma 4 26B A4B (Reasoning) SciCode	40.0%
Artificial Analysis	Gemma 4 26B A4B (Reasoning) Terminal-Bench Hard	13.6%
Artificial Analysis	Gemma 4 26B A4B (Reasoning) Terminal-Bench 2.1	39.0%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Janitor AI

Janitor AI is a chatbot platform where users create and chat with custom AI characters for interactive roleplay, storytelling, and immersive fiction.

591Mtokens

Chub AI

GenAI for everyone

113Mtokens

LangChain

new

88.1Mtokens

GetMattered

new

82Mtokens

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

74.3Mtokens

Rest of OpenRouter

61.8M

Top 5 Apps

21.2M

Not currently available through EU in-region routing. In-region routing docs

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It reads text, images, audio, video, and documents (PDF, CSV, and Office files) sent inline as base64 or by public URL. Every question needs instructions.

Decisions$0.10 / $0

Gemini 4 Carbon

Gemini 4 Carbon is a frontier Gemini 4 model from Google for coding, agentic and complex reasoning work. It takes text, image, audio, video and file input, supports long decode of up to 1M output tokens through continuation, and controls thinking depth with low, medium and high reasoning effort.

Text1.0M context$2 / $10

Gemini 4 Carbon (batch)

Text1.0M context$1 / $5

Gemini Omni 1.2 Flash

Gemini Omni 1.2 Flash is Google's native multimodal video generation and editing model, the successor to Gemini Omni 1.1 Flash. It generates clips up to 15 seconds long with native audio in 16:9 or 9:16, from 360p drafts up to 4K, and supports text-to-video, image-to-video, first and last frame interpolation, subject and video references with improved reference management, and editing or extending an uploaded video. Multi-turn editing and extension of a prior generation is supported through previous_job_id.

Note: video generation is only supported through the Video Generation API. See the guide: https://openrouter.ai/docs/guides/overview/multimodal/video-generation

Text131K context$1.50 / $9

Gemini Omni 1.1 Flash

Gemini Omni 1.1 Flash is Google's native multimodal video generation and editing model, the generally available successor to Gemini Omni Flash Preview. It is suited for text-to-video, image-to-video, first and last frame interpolation, subject and video references (up to three reference clips), and editing or extending an uploaded video, and generates clips from 360p drafts up to 4K with native audio in 16:9 or 9:16. Multi-turn editing and extension of a prior generation is supported through previous_job_id, up to 40 seconds of total video.

Note: video generation is only supported through the Video Generation API. See the guide: https://openrouter.ai/docs/guides/overview/multimodal/video-generation

Text131K context$1.50 / $9

Gemini 4 Argon

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.

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Nano Banana 2.1

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization, mask- and ink-based editing, and factual accuracy, and renders photorealistic skin tones, detailed materials, lighting, and coherent backgrounds. It accepts text and image inputs, returns images with optional text, and supports 1K, 2K, and 4K output plus extended aspect ratios via the image_config API Parameter.

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Gemini 3.5 Transcribe

Gemini 3.5 Transcribe is a speech-to-text model from Google. It is suited for synchronous transcription that needs word-level timestamps or speaker diarization, with support for up to eight speakers. Audio can be up to one hour, or 30 minutes when timestamps or diarization are enabled.

Transcription$2 / $12

Gemini 3.8 Flash Lite TTS

Gemini 3.8 Flash Lite TTS is a text-to-speech model from Google and the fast, high-throughput member of the 3.8 TTS family alongside Gemini 3.8 Flash TTS. It is suited for conversational voice-agent pipelines, high-volume read-aloud, and voice replication workloads where latency and cost matter more than maximum expressiveness.

It accepts the same speech configuration as Gemini 3.1 Flash TTS Preview, including the 30 prebuilt studio voices, and supports Google's Voice Design and Voice Replication through voice_... identifiers.

Speech$0.50 / $6

Gemini 3.8 Flash TTS

Gemini 3.8 Flash TTS is a text-to-speech model from Google and the successor to Gemini 3.1 Flash TTS Preview. It is the creative tier of the 3.8 TTS family, suited for narration, character work, and multi-speaker dialogue where voice fidelity, acting nuance, and regional dialect coverage matter more than latency.

It accepts the same speech configuration as its predecessor, including the 30 prebuilt studio voices, and supports Google's Voice Design (custom voices from a text description) and Voice Replication (voices cloned from a short sample) through voice_... identifiers.

Speech$0.50 / $9

Gemini 3.8 Flash

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Text1.0M context$0.75 / $3.75

Gemini 3.8 Flash (batch)

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Text1.0M context$0.375 / $1.875

Gemini 3.7 Flash

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Text1.0M context$0.75 / $3.75

Gemini 3.7 Flash (batch)

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Gemini 3.6 Flash

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and less hedging, while reducing token use and the number of model calls needed to complete a task.

Text1.0M context$0.75 / $3.75

Gemini 3.6 Flash (batch)

Text1.0M context$0.375 / $1.875

Gemini 3.5 Flash Lite

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Text1.0M context$0.30 / $2.50

Google: Gemma 4 26B A4B (free)

Providers

Performance

Uptime

Availability over the last 3 days

Availability over the last 24 hours

Benchmarks

Apps

Activity

API

Frequently asked questions

Explore more models

More models from Google

More models from Google

Google: Gemma 4 26B A4B (free)

Providers

Performance

Uptime

Availability over the last 3 days

Availability over the last 24 hours

Benchmarks

Apps

Activity

API

Frequently asked questions

What is Gemma 4 26B A4B (free)?

Is Gemma 4 26B A4B (free) free?

What is the context length of Gemma 4 26B A4B (free)?

Does Gemma 4 26B A4B (free) support tool calling and structured outputs?

What inputs and outputs does Gemma 4 26B A4B (free) support?

Which providers serve Gemma 4 26B A4B (free)?

What other text models does Google have?

When was Gemma 4 26B A4B (free) released?

Explore more models

More models from Google

More models from Google