Google DeepMind
Gemini 2.5 Pro
Overall 90commercialAn expansive-context model built for complex research, multimodal understanding, and large document tasks, with 1M token native context.
Capability profile
Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.
Benchmark summary
Exceptional for context-heavy analysis and multimodal retrieval workflows.
Strengths
- • Massive context window
- • Strong multimodal fusion
- • Good value at scale
Trade-offs
- • Response consistency can vary
- • Product surface complexity
Crawlable benchmark analysis
Gemini 2.5 Pro is positioned as a research + multimodal model with published scores that emphasize its practical fit for buyers evaluating the entry.
Published scores highlight reasoning 94/100, coding 88/100, enterprise readiness 90/100, vision 93/100, speed 81/100, and safety 85/100.
Pricing starts at $0.0013 per 1K input tokens and $0.01 per 1K output tokens. With a context window of 1,048,576 tokens, it supports large-document analysis and retrieval workflows.
Across the tracked benchmark set, Gemini 2.5 Pro shows especially strong performance in ARC-Challenge, making it a viable option for teams prioritizing reasoning-heavy use cases.
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