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GGemini 3.1 Pro Preview (batch)API

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.

1MContext window · tokens
$1Input price · per M tokens
$6Output price · per M tokens
GoogleProvider

Prices update automatically — checked daily against provider list prices.

See open-source alternatives → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Gemini 3.1 Pro Preview (batch), measured by Artificial Analysis. Higher is better.

Intelligence index47.7
Coding index68.8
GPQA94.1%
Humanity's Last Exam47%
Long Context Reasoning79%
SciCode58.9%
IFBench77.1%
τ²-Bench95.6%
τ-Bench Banking21.4%
Terminal-Bench73.8%
Terminal-Bench Hard53.8%
⚡ Speed122.8 tokens/sec
⏱ Latency33.2s to first token
💰 Blended price$4.5 / 1M tokens
📈 Value10.6 intelligence points per $
vs. models measured heretop 17%
Scores higher than 83% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $2.22 per 1M tokens (median of 6) — this one costs $2.25.
Cheaper and better on this index: GPT-5.6 Sol (batch) · GLM 5.3 · GLM 5.3 Flash and 16 more
Benchmark data by Artificial Analysis

About this model

Gemini 3.1 Pro Preview (batch) is a commercial AI model by Google. The specifications below are tracked automatically: pricing is refreshed daily from public list prices, so the numbers on this page reflect the current cost of using the model through its API.

Frequently asked questions

What is Gemini 3.1 Pro Preview (batch)?

Gemini 3.1 Pro Preview (batch) is an AI language model from Google. It is a proprietary model, available through an API. It scores 47.7 on the Artificial Analysis intelligence index.

Is Gemini 3.1 Pro Preview (batch) free?

Gemini 3.1 Pro Preview (batch) is not free: it costs $1 per million input tokens and $6 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Gemini 3.1 Pro Preview (batch) good at?

Independent benchmarks from Artificial Analysis give it GPQA 94.1%, Humanity's Last Exam 47%, Long Context Reasoning 79%, SciCode 58.9%, IFBench 77.1%, τ²-Bench 95.6%, τ-Bench Banking 21.4%, Terminal-Bench 73.8%, Terminal-Bench Hard 53.8%. It is particularly used for code generation.

How fast is Gemini 3.1 Pro Preview (batch)?

It generates about 122.8 tokens per second, with a median 33.2s delay before the first token. Measured independently by Artificial Analysis.

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