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Gemini 2.5 Pro

Google DeepMind's flagship Gemini 2.5 model. Documented by Google as its most advanced model for complex tasks, featuring deep reasoning and coding capabilities.

Google (identification mark)

Provider

Google
VerifiedActive
Snapshot date
Data not yet verified.
Context window
1,048,576 tokenssrc
Max output
65,536 tokenssrc
Modality
text-in, image-in, audio-in, video-in, text-outsrc

Data freshness: last checked 9 d ago · updated 2026-05-20

Verification

8 of 10 tracked fields verified against a primary source.

VerifiedActive
  • API identifiersverified
  • Release / snapshot datenot yet verified
  • Context windowverified
  • Max output tokensverified
  • Modalityverified
  • Knowledge cutoffverified
  • Featuresverified
  • Lifecycleverified
  • Pricingverified
  • Benchmarksnot yet verified

Data freshness: last checked 9 d ago · updated 2026-05-20

Verification checklist

8 of 10 tracked fields verified against a primary source

Each row reflects the actual state on the record — no checkmark is asserted without isVerified() returning true.

  • API identifiers (canonical / alias)

    Verified
  • Context window

    Verified
  • Max output tokens

    Verified
  • Modality channels

    Verified
  • Knowledge cutoff

    Verified
  • Features (extended thinking / tool use / vision …)

    Verified
  • Lifecycle (active / deprecated / retired)

    Verified
  • Release date

    Missing
  • Snapshot date

    Missing
  • Pricing rows

    11 pricing rows sourced

    Verified

Data gaps

Fields not yet verified

These fields are intentionally null until verified against a primary source. They are not estimated.

  • Benchmark scores

    No third-party benchmark scores have been verified for any model on this site — see the benchmark-limitations guide for why.

  • Infrastructure (regions / latency / uptime)

    Infrastructure fields are intentionally null until a durable measurement source is wired. See the inference-infrastructure guide.

How a value moves from this list to a verified row — see source verification methodology.

Reference

API identifiers

Pinned snapshot IDs as listed by the provider.

Canonical
gemini-2.5-pro

API pricing

First-party API pricing references

Per-unit rates published by Google for its own first-party API. Each row is a source-backed reference, not a live quote. Where Google does not run a paid first-party API for this model, the table renders the unverified-data label and any hosted-provider rates appear below.

Pricing is volatile and may change after retrieval. Treat prices as source-backed references, not live quotes.

Gemini 2.5 Pro first-party pricing references
UnitPrice (USD)
1M input tokens$1.25src
1M input tokens (>200k context)$2.50src
1M output tokens$10.00src
1M output tokens (>200k context)$15.00src
1M cache write tokens (5m)$0.13src
1M cache write tokens (>200k context)$0.25src
1M cache storage / hour$4.50src
1M batch input tokens$0.63src
1M batch input tokens (>200k context)$1.25src
1M batch output tokens$5.00src
1M batch output tokens (>200k context)$7.50src

Capability

Benchmarks

Benchmark scores are only published once verified against a primary source. WebmasterID Models does not republish provider-reported scores without an independent reference.

Data not yet verified.

Infrastructure

Inference infrastructure

Regions, latency, and uptime where independently verified.

Regions

Data not yet verified.

Avg latency (ms)

Data not yet verified.

Uptime (%)

Data not yet verified.

Compare

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Related models

Other models in the catalogue — same provider first, then the rest of the graph.

Entity graph

Provider context

Sources

  • Official docsRetrieved 2026-05-20Fresh
    Google AI — Gemini 2.5 Pro model docs

    Per-model specification page for gemini-2.5-pro (model code, token limits, supported input types, knowledge cutoff, supported features).

  • Official pricingRetrieved 2026-05-20Fresh
    Google AI — Gemini pricing

    Gemini API pricing reference — standard, batch, flex, and priority tiers with ≤200k vs >200k-token pricing.

  • Official docsRetrieved 2026-05-20Fresh
    Google AI — Gemini API quickstart

    Quickstart with REST endpoint shape, model parameter format, request body, and Python/JS SDK examples.

Verification queue

Next review for this entity targets re-checking pricing against official provider documentation and confirming lifecycle state. Cadence per field type lives in /docs.