76.9
avg score
Rank #26
Better than 89% of all models
Context
1.0M tokens (~524 books)
Input $/1M
$1.25
Output $/1M
$10.00
Type
multimodal
License
Proprietary
Benchmarks
1 tested
Data updated today
About
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Tested on 1 benchmarks with 76.9% average. Top scores: Aider polyglot (76.9%).
Looking for similar performance at lower cost?
Llama 3.3 70B Instruct scores 75.9 (99% as good) at $0.10/1M input · 92% cheaper
Llama 3.3 70B Instruct scores 75.9 (99% as good) at $0.10/1M input · 92% cheaper
Capabilities
coding
76.9
#9 globally
Benchmark Scores
Compare AllTested on 1 benchmarks · Ranked across 1 categories
Score Distribution (all 233 models)
0255075100
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codingCompare coding →
Aider polyglot
76.9—Multi-language code editing from Aider. Tests editing ability across Python, JavaScript, TypeScript, Java, C++, Go, Rust, and more.
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Research
Documentation
Community
BenchGecko API
gemini-2-5-pro-preview-05-06
Specifications
- Typemultimodal
- Context1.0M tokens (~524 books)
- ReleasedMay 2025
- LicenseProprietary
- Statuspreview
- Cost / Message~$0.013
Available On
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Frequently Asked Questions
Gemini 2.5 Pro Preview 05-06 is a proprietary multimodal AI model by Google DeepMind, released in May 2025. It has an average benchmark score of 76.9. Context window: 1M tokens.