Where is the Gemma 4 31B (free) documentation?

The Gemma 4 31B (free) documentation on OpenRouter includes the LLM Quantization: What fp8 and fp4 Do to Quality and Price blog post and the LLM API Rate Limits: How to Fix OpenAI and Claude 429 Errors blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.

Is Gemma 4 31B (free) free?

Yes. The pricing shown on this page for Gemma 4 31B (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 31B (free)?

Gemma 4 31B (free) has a 262,144 token context window. It supports up to 32,768 completion tokens.

Does Gemma 4 31B (free) support tool calling and structured outputs?

Yes. Gemma 4 31B (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 31B (free) support?

Gemma 4 31B (free) accepts images, text, and video as input and returns text.

Which providers serve Gemma 4 31B (free)?

Gemma 4 31B (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 31B (free) released?

Gemma 4 31B (free) was released on April 2, 2026.

Google: Gemma 4 31B (free)

google/gemma-4-31b-it:free

Model weights

Compare

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function calling, and multilingual support across 140+ languages. Strong on coding, reasoning, and document understanding tasks. Apache 2.0 license.

Modalities

Price

Free

Context

262K

Released

Apr 2, 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	1.51s	26 tok/s	99.81%

Input FreeOutput Free
26 tok/s99.81% 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

26tok/s

P50, best across providers

Latency

1.51s

P50, best provider

AutoExacto benchmarks

GPQA DiamondTAU-BenchPrimeIntellect84.1%--DeepInfra84.9%76.8%DeepInfra84.8%76.1%SambaNova84.1%76.5%Novita85.1%73.9%ModelRun84.4%74.3%

+13 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)

98.62%

Availability over the last 3 days

Last 72 hours

Availability 98.62%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

98.54%

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 31B (free) (Artificial Analysis and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Gemma 4 31B (Reasoning) Intelligence Index	4.4
Artificial Analysis	Gemma 4 31B (Reasoning) Coding Index	43.4
Artificial Analysis	Gemma 4 31B (Reasoning) Agentic Index	4.2
Artificial Analysis	Gemma 4 31B (Reasoning) GPQA Diamond	85.7%
Artificial Analysis	Gemma 4 31B (Reasoning) HLE	23.6%
Artificial Analysis	Gemma 4 31B (Reasoning) IFBench	75.6%
Artificial Analysis	Gemma 4 31B (Reasoning) τ²-Bench Telecom	59.9%
Artificial Analysis	Gemma 4 31B (Reasoning) AA-LCR	69.7%
Artificial Analysis	Gemma 4 31B (Reasoning) τ-Bench Banking	14.8%
Artificial Analysis	Gemma 4 31B (Reasoning) GDPval-AA	6.3%
Artificial Analysis	Gemma 4 31B (Reasoning) CritPt	1.4%
Artificial Analysis	Gemma 4 31B (Reasoning) SciCode	45.5%
Artificial Analysis	Gemma 4 31B (Reasoning) Terminal-Bench Hard	36.4%
Artificial Analysis	Gemma 4 31B (Reasoning) Terminal-Bench 4.0	0.0%
Artificial Analysis	Gemma 4 31B (Reasoning) Terminal-Bench 2.1	43.4%
Artificial Analysis	Gemma 4 31B (Reasoning) AA-Omniscience Accuracy	19.9%
Artificial Analysis	Gemma 4 31B (Reasoning) AA-Omniscience Non-Hallucination Rate	14.5%
Artificial Analysis	Gemma 4 31B (Non-reasoning) Coding Index	33.2
Artificial Analysis	Gemma 4 31B (Non-reasoning) GPQA Diamond	76.3%
Artificial Analysis	Gemma 4 31B (Non-reasoning) HLE	11.8%
Artificial Analysis	Gemma 4 31B (Non-reasoning) IFBench	53.5%
Artificial Analysis	Gemma 4 31B (Non-reasoning) τ²-Bench Telecom	65.5%
Artificial Analysis	Gemma 4 31B (Non-reasoning) AA-LCR	46.7%
Artificial Analysis	Gemma 4 31B (Non-reasoning) τ-Bench Banking	8.9%
Artificial Analysis	Gemma 4 31B (Non-reasoning) GDPval-AA	2.7%
Artificial Analysis	Gemma 4 31B (Non-reasoning) CritPt	0.0%
Artificial Analysis	Gemma 4 31B (Non-reasoning) Terminal-Bench Hard	30.3%
Artificial Analysis	Gemma 4 31B (Non-reasoning) Terminal-Bench 2.1	29.2%
Vals AI	Gemma 4 31B IT CaseLaw v2	52.6%
Vals AI	Gemma 4 31B IT Finance Agent v1.1	50.8%
Vals AI	Gemma 4 31B IT MortgageTax	61.4%
Vals AI	Gemma 4 31B IT SAGE	82.8%
Vals AI	Gemma 4 31B IT Terminal-Bench 2.0	39.3%

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.

144Mtokens

GetMattered

new

88.3Mtokens

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.

76.5Mtokens

AI Applyd

new

50.3Mtokens

OpenClaw

OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.

45.2Mtokens

Rest of OpenRouter

5.3M

Top 5 Apps

1.69M

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

More models from Google

Gemini 4 Hydrogen

Gemini 4 Hydrogen is the high-efficiency workhorse model of the Gemini 4 family from Google, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency than Gemini 4 Carbon. 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, high and xhigh reasoning effort.

Text1.0M context$1.50 / $7.50

Gemini 4 Hydrogen (batch)

Text1.0M context$0.75 / $3.75

Gemini Decision 1

Gemini Decision 1 is Google's model for the Decisions API. It answers structured questions about an input state (true/false, multiple choice with up to 255 options, and score with up to 255 levels) and returns a confidence for every answer, plus a legend and probabilities for score questions.

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.

Text1.0M context$2 / $10

Gemini 4 Argon (batch)

Text1.0M context$1 / $5

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.

Image66K context$1.50 / $30

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

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Text1.0M context$0.75 / $3.75

Gemini 3.8 Flash (batch)

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Text1.0M context$0.375 / $1.875

Gemini 3.7 Flash

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step problem solving.

Text1.0M context$0.75 / $3.75

Gemini 3.7 Flash (batch)

Text1.0M context$0.375 / $1.875

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

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

Text1.0M context$0.30 / $2.50

Google: Gemma 4 31B (free)

Providers

Performance

Uptime

Availability over the last 3 days

Availability over the last 24 hours

Benchmarks

Apps

Activity

API

Documentation

Frequently asked questions

Explore more models

More models from Google

More models from Google

Google: Gemma 4 31B (free)

Providers

Performance

Uptime

Availability over the last 3 days

Availability over the last 24 hours

Benchmarks

Apps

Activity

API

Documentation

Frequently asked questions

What is Gemma 4 31B (free)?

Where is the Gemma 4 31B (free) documentation?

Is Gemma 4 31B (free) free?

What is the context length of Gemma 4 31B (free)?

Does Gemma 4 31B (free) support tool calling and structured outputs?

What inputs and outputs does Gemma 4 31B (free) support?

Which providers serve Gemma 4 31B (free)?

What other text models does Google have?

When was Gemma 4 31B (free) released?

Explore more models

More models from Google

More models from Google