2M token context window — the largest of any frontier model
Leads ARC-AGI-2 reasoning benchmark at 77.1%
Best price-to-performance among premium models at $2/$12 per 1M tokens
Weaknesses
Slower than Flash for everyday lightweight tasks
Claude Sonnet 4.6 is better for writing quality
Real-world use cases
What people actually use Gemini 3.1 Pro for.
Analyzing entire contracts, codebases, or research corpora in a single 2M-token prompt
Due diligence synthesis across large sets of financial documents or legal agreements
Multi-step reasoning across dense technical specifications with Deep Think mode
How Gemini 3.1 Pro compares
The nearest models people weigh against it, and what actually separates them.
vs Gemini 2.5 Pro — Against Gemini 2.5 Pro (Google), Gemini 3.1 Pro costs about 20% more per token and takes 1.9x the context. Gemini 2.5 Pro is the one to check first if the price difference matters more than the ceiling.
vs Gemini 2.5 Pro Preview 05-06 — Against Gemini 2.5 Pro Preview 05-06 (Google), Gemini 3.1 Pro costs about 20% more per token, takes 1.9x the context and answers faster. Gemini 2.5 Pro Preview 05-06 is the one to check first if the price difference matters more than the ceiling.
vs Gemini 2.5 Pro Preview 06-05 — Against Gemini 2.5 Pro Preview 06-05 (Google), Gemini 3.1 Pro costs about 20% more per token, takes 1.9x the context and answers faster. Gemini 2.5 Pro Preview 06-05 is the one to check first if the price difference matters more than the ceiling.
Price History
Gemini 3.1 Pro pricing over time
→0% since Jun 1
90 data points · tracked daily since Jun 1, 2026
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Start using Gemini 3.1 Pro
Research, deep document analysis, and long-context reasoning at competitive pricing. Start free — no card required.
Gemini 2.5 Pro is Google's flagship reasoning-capable model with a massive 1M token context window, designed for complex analysis, coding, and multimodal tasks. It balances frontier-level intelligence with competitive mid-tier pricing.
Verdict
The best Google model for serious, complex work — especially when you need to fit an entire codebase or document corpus into a single prompt.
Quality score
87%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Balanced
3/5 speed
Context
1.0M tokens
Pricing shown is for prompts under 200K tokens; inputs over 200K tokens are billed at $2.50/1M input and $15/1M output. Gemini 2.5 Pro includes built-in 'thinking' (reasoning) mode which can increase latency and cost further.
FlagshipLong ContextMultimodalReasoningGoogle
Best for
Deep reasoning over very long documents, complex codebases, or multimodal inputs where context size is a constraint with other models.
Gemini 2.5 Pro Preview 05-06 is Google's latest frontier reasoning model featuring a massive 1M token context window and strong multimodal capabilities. It targets developers and researchers needing deep analytical power with competitive pricing relative to its capability tier.
Verdict
The go-to model when you need a frontier brain and a million-token memory, at a price that won't immediately break your budget.
Quality score
86%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Deliberate
2/5 speed
Context
1.0M tokens
This is a preview model (05-06 date suffix indicates a versioned snapshot); Google may deprecate or change it without long notice. Confirm production readiness before building critical pipelines on this endpoint. The 1M context window applies to text and multimodal inputs combined.
Long ContextReasoningMultimodalFrontierPreview
Best for
Complex multi-document analysis, long-context reasoning, and advanced coding tasks where a massive context window is essential.
Gemini 2.5 Pro Preview 06-05 is Google's most capable reasoning-focused model, featuring a massive 1M token context window and strong performance across code, math, and complex analysis tasks. It represents Google's top-tier offering in the Gemini 2.5 generation, optimized for depth over speed.
Verdict
Google's most capable model — a top-tier reasoning and coding powerhouse with an unmatched context window, held back only by its preview status and output cost.
Quality score
83%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Deliberate
2/5 speed
Context
1.0M tokens
This is a preview model (06-05 date suffix indicates a versioned snapshot); Google may deprecate or modify it before a stable GA release. Pricing tiers differ based on prompt length — prompts over 200K tokens are charged at $2.50/1M input and $15/1M output, significantly increasing cost for very long-context use cases.
FlagshipLong ContextReasoningCodingPreview
Best for
Complex multi-step reasoning, large codebase analysis, and tasks requiring deep synthesis across very long documents.
Gemini 3.1 Pro costs $2 per million input tokens and $12 per million output tokens on the API, with cached input at $0.2 per million. A month of 10M input and 2M output tokens runs about $44.00 at list price, before any batch or caching discounts.
What is the context window of Gemini 3.1 Pro?
Gemini 3.1 Pro has a 1M tokens context window, with up to 64k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of Gemini 3.1 Pro?
Gemini 3.1 Pro's training data runs through January 2025, and the model was released on February 19, 2026. For anything after that date it needs web search or documents in the prompt.
What is Gemini 3.1 Pro best for?
Gemini 3.1 Pro is best for research, deep document analysis, and long-context reasoning at competitive pricing. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and balanced speed.
When should I avoid Gemini 3.1 Pro?
Your primary use case is writing quality or agentic coding — Claude wins both.
What is a cheaper alternative to Gemini 3.1 Pro?
Gemini 2.5 Pro Preview 05-06 (Google) at $1.25/1M/1M input against Gemini 3.1 Pro's $2.00/1M/1M — roughly 20% less per token all in. The go-to model when you need a frontier brain and a million-token memory, at a price that won't immediately break your budget. Compare it first if Gemini 3.1 Pro's pricing is the thing stopping you.
What is a faster alternative to Gemini 3.1 Pro?
Gemini 2.5 Pro — balanced against Gemini 3.1 Pro's balanced, with 1.0M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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