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Gemini 2.5 Pro

Google · Released Jun 17, 2025

Proprietarylong-contextreasoningvisionCompare this model

$1.25

Input price / MTok

#14 of 27

$10

Output price / MTok

#20 of 27

1.0M

Context window

#11 of 28

151

Tokens / sec

#8 of 21

63.8

SWE-bench Verified

#11 of 12

84

GPQA Diamond

#12 of 19

86.7

AIME 2025

#6 of 10

81.7

MMMU

#3 of 8

70.4

LiveCodeBench

#6 of 8

94.5

MRCR

#1 of 5

Summary

Gemini 2.5 Pro is a proprietary language model from Google, released on Jun 17, 2025.

At $1.25 input and $10 output per million tokens, it ranks #14 of 27 for input price, placing it mid-range on input cost.

Its context window of 1.0M tokens ranks #11 of 28 for context depth in this dataset.

It targets long-context, reasoning, vision workloads.

Throughput is measured at 151 tokens per second (ranked #8 of 21 for throughput).

Now considered legacy as Gemini 3.x is GA.

Benchmarks

BenchmarkScoreMax%RankSource
SWE-bench Verified63.810063.8%#11/12Google DeepMind blog (self-reported at l...
GPQA Diamond8410084.0%#12/19Google DeepMind blog (self-reported at p...
AIME 202586.710086.7%#6/10Google DeepMind blog (self-reported at l...
MMMU81.710081.7%#3/8Google DeepMind blog (self-reported at l...
LiveCodeBench70.410070.4%#6/8Google DeepMind blog (self-reported at l...
MRCR94.510094.5%#1/5Google DeepMind blog (self-reported at l...

Similar Models

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Models with the most shared benchmark coverage and closest scores to Gemini 2.5 Pro.

Gemini 2.5 Pro
AnthropicClaude Sonnet 4.6
OpenAIo4-mini
OpenAIo3
OpenAIGPT-5
GoogleGemini 2.5 Flash
SWE-bench Verified#11 of 12
Real-world GitHub issue resolution
GPQA Diamond#12 of 19
Graduate-level science reasoning
AIME 2025#6 of 10
Advanced math competition problems
MMMU#3 of 8
Multimodal understanding across 30 subjects
MRCR#1 of 5
Long-context retrieval and recall
LiveCodeBench#6 of 8
Live competitive programming

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Speed source: https://artificialanalysis.ai/models/gemini-2-5-pro