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Gemini 2.5 Pro
Google’s most advanced Gemini 2.5 model for complex reasoning and coding tasks.
Overall score
91
multimodalreasoninglong-context
Context window
1M tokens
Speed
Balanced
Input pricing
$1.25 / 1M input tokens (≤200K prompts)
Output pricing
$10 / 1M output tokens (≤200K prompts)
Score breakdown
Capability94
Use-case fit92
Cost efficiency84
Speed84
Reliability89
Agent readiness90
Ecosystem92
Scores combine benchmark signals, product experience, and editorial weighting. Use them as a practical guide, not an absolute truth claim.
Best for
CodingResearch
Works with
Gemini APIVertex AIgrounded search flows
Modalities
textimageaudiovideo
Sources & trust
Officially verified core fields
Official linkSummaryDescriptionModalitiesModality profileContext windowPricingPricing pageTool support
Editorial fields such as shortlist guidance, strengths, caveats, and scoring remain clearly separated from official provider data.
Google AI for Developers
Official site · Tier 5 · Apr 9, 2026
Official link
Gemini 2.5 Pro model docs
Official docs · Tier 5 · Apr 9, 2026
SummaryDescriptionModalitiesModality profileContext window
Gemini API pricing
Pricing page · Tier 5 · Apr 9, 2026
PricingPricing pageTool support
Gemini 2.5 Pro VerdictLens review
Manual review · Tier 3 · Apr 9, 2026
Best-fit guidanceWorks-with guidanceStrengthsCaveatsOverall scoreScore breakdown
Last verified: Apr 9, 2026
Strengths
- Strong multimodal reasoning with very large context.
- Good fit for teams already using Google AI or Vertex AI paths.
Things to watch
- Google pricing becomes more complex on very long prompts and grounded calls.
- Tooling conventions differ from OpenAI and Anthropic-centered stacks.
Best for
Coding copilots & repo execution
Prioritize reliability, diff quality, tool-calling control, and the ability to maintain focus across multi-file edits.
Research synthesis & analyst workflows
Prioritize source grounding, multilingual reading, long-context reasoning, and a retrieval stack that stays inspectable.