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Gemini 2.5 Pro

Google · Released Dec 2025

Recommended

Now the budget long-context pick: a 40% price cut (Jun 2026) made full-corpus passes affordable at mid-size budgets — the longest context window available with strong Google ecosystem integration.

Is it right for you?

Good for

  • Processing extremely long documents
  • Google Workspace integration
  • Multilingual tasks
  • Cost-effective general-purpose use

Not good for

  • Agentic coding requiring deep understanding
  • Privacy-sensitive data processing outside Google
  • Tasks where Claude or GPT-4o quality is noticeably better

How it performs by task

Long document analysis

Excellent

Largest context window at 1M tokens makes it ideal for processing very large documents and codebases.

Multilingual tasks

Very Good

Strong multilingual performance across European and Asian languages with natural fluency.

Data extraction

Very Good

Reliable structured extraction with good schema adherence and competitive pricing.

Code generation

Good

Competent code generation but noticeably behind Claude 4 Sonnet and GPT-4o on complex tasks.

Pricing

Input

$1.25 / 1M tokens

Output

$10 / 1M tokens

Context

1M tokens

View full pricing

Benchmarks

BenchmarkScoreSource
MMLU-Pro81.3% Source
MATH83.6% Source
HumanEval86.4% Source

No verdict changes yet

The clock starts day one — changes land here as our verdict evolves.

Verification log

  • Pricing— No changes

    Automated agent

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    Automated agent

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    Automated agent

    Pricing unchanged: $1.25/$10 per 1M tokens, 1M context. Confirmed by GitHub Copilot pricing table.

  • Pricing— No changes

    Automated agent

    Gemini 2.5 Pro unchanged at $1.25/$10 per 1M tokens (≤200K). No further cut beyond the 40% reduction.

  • Pricing— No changes

    Automated agent

  • Pricing— No changes

    Imported at launch

  • Profile— No changes

    Imported at launch

How we evaluate