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Gemini 3.1 Pro

$$$Premium
Google#10 of 92#3Coding
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Google's frontier model with a large leap in core reasoning. More than doubles Gemini 3 Pro's reasoning performance (77% ARC-AGI-2). Strong on scientific QA and long-horizon agentic tasks. Excels at synthesizing complex data, visual explanations, and multi-step problem solving.

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Gemini 3.1 Pro by Google has a Capability Index of 86.4, making it notably capable. It ranks #10 out of 92 models on the idapt capability leaderboard. It resolves 81% of SWE-bench Verified coding tasks. Gemini 3.1 Pro is very affordable at $2.00/M tokens input and $12.00/M tokens output. Cached input reads are priced at $0.20/M tokens, making repeated context cheaper. The model supports vision/image input, audio input, extended reasoning, a 1M context window.

Best forFrontier reasoningAgentic codingExpert reasoningLong-context analysis
ReplacesGoogleGemini 2.5 Pro·GoogleGemini 2.5 Pro (05-06)

Benchmarks

Sources:Epoch ECI·Epoch AI·Provider·OpenRouter· as of 2026-10-02

Category Rankings

Capability
#10of 92
Coding
#3of 33
Math
#14of 121
Reasoning
#6of 123
Agentic
#7of 45

Specifications

Vision
Audio
Reasoning
1.0M
Context
66K
Max output

Performance

Providers

Misc

February 19, 2026
Released
Same family
GoogleGemini 3 FlashGoogleGemini 3 ProGoogleGemini 3.1 Flash LiteGoogleGemini 3.5 FlashGoogleGemini 3.5 Flash-LiteGoogleGemini 3.7 FlashGoogleGemini 3.8 FlashGoogleGemini 3.6 Flash
CompareChat with Gemini 3.1 Pro

Compare with

OpenAIGPT 6 Astravs Gemini 3.1 ProOpenAIGPT 6.1 Sol Provs Gemini 3.1 ProOpenAIGPT 6.1 Solvs Gemini 3.1 ProOpenAIGPT 6 Lunavs Gemini 3.1 ProAnthropicClaude Fable 5.1vs Gemini 3.1 ProAnthropicClaude Opus 5.5vs Gemini 3.1 ProAnthropicClaude Sonnet 5.5vs Gemini 3.1 ProGoogleGemini 3.8 Flashvs Gemini 3.1 ProGoogleGemini 4 Argonvs Gemini 3.1 ProGoogleGemma 4 31Bvs Gemini 3.1 ProxAIGrok 4.7vs Gemini 3.1 ProxAIGrok Build 0.1vs Gemini 3.1 ProMetaMuse Spark Openvs Gemini 3.1 ProMetaMuse Wondervs Gemini 3.1 ProDeepSeekDeepSeek V4 Pro (0813)vs Gemini 3.1 ProDeepSeekDeepSeek V4.1 Flash 1017vs Gemini 3.1 ProMiniMaxMiniMax M3vs Gemini 3.1 ProMoonshotAIKimi K3vs Gemini 3.1 ProMoonshotAIKimi K2.7 Codevs Gemini 3.1 ProZhipu AIGLM 5.3vs Gemini 3.1 ProZhipu AIGLM 5.3 Flashvs Gemini 3.1 ProQwenQwen3.8 Max (0902)vs Gemini 3.1 ProQwenQwen3 Coder Nextvs Gemini 3.1 ProNVIDIANemotron 3 Ultravs Gemini 3.1 ProNVIDIANemotron 3.5 Super VLvs Gemini 3.1 Pro
Frequently Asked Questions about Gemini 3.1 Pro▼

When was Gemini 3.1 Pro released?

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Gemini 3.1 Pro was released on February 19, 2026.

Who created Gemini 3.1 Pro?

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Gemini 3.1 Pro was created by Google.

How capable is Gemini 3.1 Pro?

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Gemini 3.1 Pro has a Capability Index of 86.4/100, making it notably capable. It ranks #10 out of 92 models.

How much does Gemini 3.1 Pro cost?

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Gemini 3.1 Pro costs $2.00/M input tokens and $12.00/M output tokens.

What is Gemini 3.1 Pro API pricing?

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The Gemini 3.1 Pro API is priced at $2.00 per million input tokens and $12.00 per million output tokens. You can access Gemini 3.1 Pro through idapt.app alongside 200+ other AI models in one workspace.

Is Gemini 3.1 Pro a reasoning model?

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Yes, Gemini 3.1 Pro is a reasoning model. It can think step-by-step through complex problems before providing an answer, often yielding better results on difficult tasks like math, coding, and multi-step logic.

Does Gemini 3.1 Pro support image or vision input?

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Yes, Gemini 3.1 Pro supports vision/image input. You can share images in your conversation and the model will analyze and respond based on their content.

Does Gemini 3.1 Pro support audio?

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Yes, Gemini 3.1 Pro supports audio input, allowing it to process and respond to voice and audio files.

What is the context window of Gemini 3.1 Pro?

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Gemini 3.1 Pro has a context window of 1M tokens, meaning it can process approximately 786,432 words of context at once.

Is Gemini 3.1 Pro open source?

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Gemini 3.1 Pro is a proprietary model developed by Google. The model weights and training data are not publicly available.

How does Gemini 3.1 Pro perform on coding?

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Gemini 3.1 Pro resolves 81% of SWE-bench Verified tasks — real GitHub issues fixed end-to-end, the strongest single signal for agentic software engineering.

What is Gemini 3.1 Pro good at?

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Based on benchmark data, Gemini 3.1 Pro excels at: complex reasoning and analysis, software development and coding tasks, mathematical problem solving, visual analysis and image understanding. It is Google's capable model suitable for a wide range of tasks.

Where can I use Gemini 3.1 Pro?

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You can chat with Gemini 3.1 Pro on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Gemini 3.1 Pro through Google's own API or platform.

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