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The Domesday Book ofKWJ · AI

Google DeepMind · The Reasoning-Model Era

Gemini 2.5 Pro

Google's reasoning flagship. Two-million-token context, native multimodal, the only frontier model that reads PDFs without an extraction pre-pass.

By C.W. Jameson · Published 19 May 2026 · Last reviewed 19 May 2026

Gemini 2.5 Pro has the largest production context window of any frontier model and the most aggressive multimodal training. It can ingest a one-hour video, a two-hundred-page PDF, and forty images in a single call, and answer questions about all of them. The pricing is competitive at small scale and punishing at long-context scale. Operators who measured ended up running it primarily for the unique workloads no other model can attempt.

Field signature

Will answer questions about specific frames of long videos. Other models can't.

Specifications

Released2025
Context window2,000,000 tokens
Pricing$1.25 / $10 input/output up to 200K, doubles past that
Modalitiestext · image · audio · video · PDF
LicenseCommercial API only
EraThe Reasoning-Model Era

Strengths

  • Context length
  • Native video understanding
  • Aggressive multimodal

Weaknesses

  • Long-context pricing
  • Inconsistent tool-use compared to Claude

Authentication markers

The fingerprints by which Gemini 2.5 Pro can be identified from its output alone.

TellMeaning
Can answer 'what is at timestamp 23:14 in the video?' correctly.Gemini 2.5 lineage.

Notable works

  • AlphaCode 2
  • AlphaFold 3 (related lineage)

Market position

$1.25 - $20 per million tokens

Partner offer

Gemini's long-context window has no peer at the time of this entry.

Try Gemini →

Affiliate link — see disclosure.

Primary sources

  1. [1] Google AI: Gemini models

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