How much does Gemini 3.1 Pro Preview (batch) cost?

Gemini 3.1 Pro Preview (batch) costs $1.00/M input tokens and $6.00/M output tokens, with separate rates for Image Input at $1.00/M tokens, Input Audio at $1.00/M tokens, and Web Search at $14.00/1K calls.

What is the context length of Gemini 3.1 Pro Preview (batch)?

Gemini 3.1 Pro Preview (batch) has a 1,048,576 token context window. It supports up to 65,536 completion tokens.

Does Gemini 3.1 Pro Preview (batch) support tool calling and structured outputs?

Yes. Gemini 3.1 Pro Preview (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does Gemini 3.1 Pro Preview (batch) support?

Gemini 3.1 Pro Preview (batch) accepts audio, files such as PDFs, images, text, and video as input and returns text.

Which providers serve Gemini 3.1 Pro Preview (batch)?

Gemini 3.1 Pro Preview (batch) is served by 1 provider on OpenRouter: Google Vertex.

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 Gemini 3.1 Pro Preview (batch) released?

Gemini 3.1 Pro Preview (batch) was released on February 19, 2026.

Google: Gemini 3.1 Pro Preview (batch)

google/gemini-3.1-pro-preview:batch

Compare

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation of the Gemini 3 series, it combines high-precision reasoning across text, image, video, audio, and code with a 1M-token context window. Reasoning Details must be preserved when using multi-turn tool calling, see our docs here: https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning. The 3.1 update introduces measurable gains in SWE benchmarks and real-world coding environments, along with stronger autonomous task execution in structured domains such as finance and spreadsheet-based workflows.

Designed for advanced development and agentic systems, Gemini 3.1 Pro Preview improves long-horizon stability and tool orchestration while increasing token efficiency. It introduces a new medium thinking level to better balance cost, speed, and performance. The model excels in agentic coding, structured planning, multimodal analysis, and workflow automation, making it well-suited for autonomous agents, financial modeling, spreadsheet automation, and high-context enterprise tasks.

Modalities

In / out price

$1 / $6per 1M

Context

1.0M

Released

Feb 19, 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).


	$1.00	$6.00	--	--	--

Input $1.00Output $6.00
-- tok/s-- uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0/M tokens

Output

$0/M tokens

Gemini 3.1 Pro Preview (batch) — Price history

Price history

No effective price data for this selection

		$0.00	$0.00	0.0%	100.0%

Effective in $0.00Effective out $0.00
Token share
100.0%

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.

Not enough uptime data to display yet.

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: Gemini 3.1 Pro Preview (batch) (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Gemini 3 Pro Preview (Low) GPQA Diamond	88.7%
Artificial Analysis	Gemini 3 Pro Preview (Low) HLE	29.5%
Artificial Analysis	Gemini 3 Pro Preview (Low) IFBench	49.7%
Artificial Analysis	Gemini 3 Pro Preview (Low) τ²-Bench Telecom	68.1%
Artificial Analysis	Gemini 3 Pro Preview (Low) AA-LCR	74.0%
Artificial Analysis	Gemini 3 Pro Preview (Low) CritPt	0.0%
Artificial Analysis	Gemini 3 Pro Preview (Low) LiveCodeBench	85.7%
Artificial Analysis	Gemini 3 Pro Preview (Low) Terminal-Bench Hard	34.1%
Artificial Analysis	Gemini 3 Pro Preview (Low) MMLU-Pro	89.5%
Artificial Analysis	Gemini 3 Pro Preview (Low) AIME 2025	86.7%
Artificial Analysis	Gemini 3 Pro Preview (High) GPQA Diamond	90.8%
Artificial Analysis	Gemini 3 Pro Preview (High) HLE	39.7%
Artificial Analysis	Gemini 3 Pro Preview (High) IFBench	70.4%
Artificial Analysis	Gemini 3 Pro Preview (High) τ²-Bench Telecom	87.1%
Artificial Analysis	Gemini 3 Pro Preview (High) AA-LCR	76.0%
Artificial Analysis	Gemini 3 Pro Preview (High) CritPt	9.1%
Artificial Analysis	Gemini 3 Pro Preview (High) LiveCodeBench	91.7%
Artificial Analysis	Gemini 3 Pro Preview (High) Terminal-Bench Hard	41.7%
Artificial Analysis	Gemini 3 Pro Preview (High) MMLU-Pro	89.8%
Artificial Analysis	Gemini 3 Pro Preview (High) AIME 2025	95.7%
Artificial Analysis	Gemini 3.1 Pro Preview Coding Index	68.8
Artificial Analysis	Gemini 3.1 Pro Preview Agentic Index	8.2
Artificial Analysis	Gemini 3.1 Pro Preview GPQA Diamond	94.1%
Artificial Analysis	Gemini 3.1 Pro Preview HLE	47.0%
Artificial Analysis	Gemini 3.1 Pro Preview IFBench	77.1%
Artificial Analysis	Gemini 3.1 Pro Preview τ²-Bench Telecom	95.6%
Artificial Analysis	Gemini 3.1 Pro Preview AA-LCR	82.0%
Artificial Analysis	Gemini 3.1 Pro Preview τ-Bench Banking	21.4%
Artificial Analysis	Gemini 3.1 Pro Preview GDPval-AA	14.9%
Artificial Analysis	Gemini 3.1 Pro Preview CritPt	17.7%
Artificial Analysis	Gemini 3.1 Pro Preview SciCode	58.7%
Artificial Analysis	Gemini 3.1 Pro Preview Terminal-Bench Hard	53.8%
Artificial Analysis	Gemini 3.1 Pro Preview Terminal-Bench 4.0	4.0%
Artificial Analysis	Gemini 3.1 Pro Preview Terminal-Bench 2.1	73.8%
Design Arena	Gemini 3.1 Pro Preview Agents Arena Agenticgamedev Elo	1063
Design Arena	Gemini 3.1 Pro Preview Agents Arena Agentichtmlslides Elo	1226
Design Arena	Gemini 3.1 Pro Preview Agents Arena Agenticslides Elo	1112
Design Arena	Gemini 3.1 Pro Preview Agents Arena Agenticslides(Html) Elo	1219
Design Arena	Gemini 3.1 Pro Preview Agents Arena Agenticslides(Python-Pptx) Elo	1107
Design Arena	Gemini 3.1 Pro Preview Agents Arena Androidnative Elo	1035
Design Arena	Gemini 3.1 Pro Preview Agents Arena Blender3d Elo	1037
Design Arena	Gemini 3.1 Pro Preview Agents Arena Codetovideo Elo	1112
Design Arena	Gemini 3.1 Pro Preview Agents Arena Full Stack Elo	1042
Design Arena	Gemini 3.1 Pro Preview Agents Arena Godotgamedev Elo	1142
Design Arena	Gemini 3.1 Pro Preview Agents Arena Htmlslides Elo	1048
Design Arena	Gemini 3.1 Pro Preview Agents Arena Mobile Apps Elo	1086
Design Arena	Gemini 3.1 Pro Preview Agents Arena Pdf Elo	1104
Design Arena	Gemini 3.1 Pro Preview Agents Arena Pptxslides Elo	1110
Design Arena	Gemini 3.1 Pro Preview Agents Arena Python-Pptxslides Elo	1109
Design Arena	Gemini 3.1 Pro Preview Agents Arena Python-Pptxslides Elo	1034
Design Arena	Gemini 3.1 Pro Preview Agents Arena Spreadsheet Elo	944
Design Arena	Gemini 3.1 Pro Preview Agents Arena Webapps Elo	1105
Design Arena	Gemini 3.1 Pro Preview Models Arena 3D Elo	1214
Design Arena	Gemini 3.1 Pro Preview Models Arena Asciiart Elo	1265
Design Arena	Gemini 3.1 Pro Preview Models Arena Code Categories Elo	1220
Design Arena	Gemini 3.1 Pro Preview Models Arena Data Visualization Elo	1206
Design Arena	Gemini 3.1 Pro Preview Models Arena Game Development Elo	1191
Design Arena	Gemini 3.1 Pro Preview Models Arena SVG Elo	1275
Design Arena	Gemini 3.1 Pro Preview Models Arena UI Component Elo	1215
Design Arena	Gemini 3.1 Pro Preview Models Arena Website Elo	1225
Vals AI	Gemini 3.1 Pro Preview (02/26) AIME	98.1%
Vals AI	Gemini 3.1 Pro Preview (02/26) BioMysteryBench	60.0%
Vals AI	Gemini 3.1 Pro Preview (02/26) CaseLaw v2	64.8%
Vals AI	Gemini 3.1 Pro Preview (02/26) Code Migration	17.3%
Vals AI	Gemini 3.1 Pro Preview (02/26) CorpFin v2	64.5%
Vals AI	Gemini 3.1 Pro Preview (02/26) EMB	52.6%
Vals AI	Gemini 3.1 Pro Preview (02/26) Finance Agent (v2)	43.0%
Vals AI	Gemini 3.1 Pro Preview (02/26) Financial Coaching Bench	66.7%
Vals AI	Gemini 3.1 Pro Preview (02/26) GPQA Diamond	95.5%
Vals AI	Gemini 3.1 Pro Preview (02/26) Harvey's Legal Agent Benchmark v1	0.0%
Vals AI	Gemini 3.1 Pro Preview (02/26) IOI	51.8%
Vals AI	Gemini 3.1 Pro Preview (02/26) LiveCodeBench	88.5%
Vals AI	Gemini 3.1 Pro Preview (02/26) LegalBench	87.4%
Vals AI	Gemini 3.1 Pro Preview (02/26) Legal Research Bench	20.7%
Vals AI	Gemini 3.1 Pro Preview (02/26) MedCode	59.1%
Vals AI	Gemini 3.1 Pro Preview (02/26) MedQA	96.4%
Vals AI	Gemini 3.1 Pro Preview (02/26) MedScribe	76.1%
Vals AI	Gemini 3.1 Pro Preview (02/26) MMLU Pro	91.0%
Vals AI	Gemini 3.1 Pro Preview (02/26) MMMU Pro	88.2%
Vals AI	Gemini 3.1 Pro Preview (02/26) MortgageTax	69.4%
Vals AI	Gemini 3.1 Pro Preview (02/26) MysteryMechanism	20.7%
Vals AI	Gemini 3.1 Pro Preview (02/26) ProgramBench	0.0%
Vals AI	Gemini 3.1 Pro Preview (02/26) ProofBench v1.1	26.0%
Vals AI	Gemini 3.1 Pro Preview (02/26) Public Benefits Bench v1.1	53.8%
Vals AI	Gemini 3.1 Pro Preview (02/26) SAGE	83.2%
Vals AI	Gemini 3.1 Pro Preview (02/26) Vals Science Index	27.4%
Vals AI	Gemini 3.1 Pro Preview (02/26) SRE Bench	0.0%
Vals AI	Gemini 3.1 Pro Preview (02/26) SWE-bench	78.8%
Vals AI	Gemini 3.1 Pro Preview (02/26) Tax Agent Bench	9.3%
Vals AI	Gemini 3.1 Pro Preview (02/26) TaxEval v2	72.9%
Vals AI	Gemini 3.1 Pro Preview (02/26) Terminal-Bench 4.0	2.5%
Vals AI	Gemini 3.1 Pro Preview (02/26) Terminal-Bench-Science	1.4%
Vals AI	Gemini 3.1 Pro Preview (02/26) Vals Index	33.4%
Vals AI	Gemini 3.1 Pro Preview (02/26) Vals Multimodal Index	56.1%
Vals AI	Gemini 3.1 Pro Preview (02/26) Vibe Code Bench 1-100	6.7%
Vals AI	Gemini 3.1 Pro Preview (02/26) Vibe Code Bench v1.1	32.0%

Google: Gemini Pro versions

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: Gemini 3.1 Pro Preview (batch)

Providers

Pricing

Weighted average

Gemini 3.1 Pro Preview (batch) — Price history

Performance

Uptime

Benchmarks

Apps

Activity

API

Frequently asked questions

Explore more models

More models from Google

More models from Google

Google: Gemini 3.1 Pro Preview (batch)

Providers

Pricing

Weighted average

Gemini 3.1 Pro Preview (batch) — Price history

Performance

Uptime

Benchmarks

Apps

Activity

API

Frequently asked questions

What is Gemini 3.1 Pro Preview (batch)?

How much does Gemini 3.1 Pro Preview (batch) cost?

What is the context length of Gemini 3.1 Pro Preview (batch)?

Does Gemini 3.1 Pro Preview (batch) support tool calling and structured outputs?

What inputs and outputs does Gemini 3.1 Pro Preview (batch) support?

Which providers serve Gemini 3.1 Pro Preview (batch)?

What other text models does Google have?

When was Gemini 3.1 Pro Preview (batch) released?

Explore more models

More models from Google

More models from Google