Claude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MClaude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/M
Google
Google
MultimodalLIVE INDEX

Gemini 2.5 Pro (batch)

text+image+file+audio+video->text

Google's flagship Gemini. 1M-token context, native multimodal across text, image, audio and video, with thinking enabled.

Gemini 2.5 Pro (batch) is a multimodal AI model from Google. It costs $0.625 per million input tokens and $5.000 per million output tokens (blended $1.938/M), with a 1,048,576-token context window.

Profile inherited from upstream Gemini 2.5 Pro — this is a hosted variant of the same open-weights model.

INPUT
$0.625/M
per million input tokens
OUTPUT
$5.000/M
per million output tokens
CONTEXT
1,048,576
tokens
What it is good at
  • 1M context (2M in private beta)
  • Native video + audio understanding
  • Strong reasoning with thinking
  • Tight Google ecosystem
Typical use cases
  • Long-form research
  • Video understanding
  • Multilingual chat
  • Workspace-grounded agents

Benchmarks

vs. best public score
Scores inherited from Gemini 2.5 Pro — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU89%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH93%
High-school competition math problems.
Python function synthesis from docstrings.
Real GitHub issues solved end-to-end.
LMArena Elo1389 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

More from Google

See all 24

Frequently asked questions

How much does Gemini 2.5 Pro (batch) cost?

Gemini 2.5 Pro (batch) costs $0.625 per million input tokens and $5.000 per million output tokens, for a blended reference rate of $1.938 per million tokens.

What is Gemini 2.5 Pro (batch)'s context window?

Gemini 2.5 Pro (batch) supports up to 1,048,576 tokens of context in a single request.

What is Gemini 2.5 Pro (batch) best for?

Gemini 2.5 Pro (batch) is well suited to 1M context (2M in private beta), Native video + audio understanding and Strong reasoning with thinking.

Who makes Gemini 2.5 Pro (batch)?

Gemini 2.5 Pro (batch) is developed and served by Google. It was released in 2025.

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