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How smart is Gemini 2.5 Flash (Jun 2025)?

102 SI-IQ · 90% interval 91–113
Not ranked: too little data

Gemini 2.5 Flash (Jun 2025) is a model from Google DeepMind, released on Jun 17, 2025. Its SI-IQ is 102 (90% interval 91–113), estimated from 3 benchmark results by 2 independent evaluators.

This model has fewer than 5 independent benchmark results or fewer than 2 different evaluators, so it is shown but not ranked.

Facts

Developer: Google DeepMind
Released: Jun 17, 2025
Access: API access
Benchmarks used: 3 results from 2 evaluators
API price: $0.30 input / $2.50 output per 1M tokens (developer's price list, Oct 18, 2026)
Context window: 1,048,576 tokens

Ability by area (SI-IQ, 90% interval)

Every benchmark result we used

Each score is one value exactly as the source published it: for Epoch AI the best of its run settings, for OpenRouter the median hosting provider (the developer's own hosting when it ran the test). “Implied SI-IQ” is the ability that this single result points to; the overall SI-IQ is their precision-weighted average.

Benchmark	Area	Score	Implied SI-IQ	Evaluated by	As listed by the source	Retrieved	Source
GPQA Diamond (OpenRouter run)	Knowledge	73.8%	102	OpenRouter	`google/gemini-2.5-flash` Google · first-party provider (2 of 2 rows), lower median	Oct 18, 2026	OpenRouter benchmark datasets · data file
Berkeley Function Calling Leaderboard	Agents	56.2%	105	UC Berkeley (Gorilla)	`Gemini-2.5-Flash (FC)`	Oct 18, 2026	Berkeley Function Calling Leaderboard · data file
τ²-bench Airline (OpenRouter run)	Agents	55.1%	97	OpenRouter	`google/gemini-2.5-flash` Google AI Studio · first-party provider (2 of 2 rows), lower median	Oct 18, 2026	OpenRouter benchmark datasets · data file

Human preference (Arena)

On the Arena leaderboard, where people vote between two anonymous answers, Gemini 2.5 Flash (Jun 2025) has a rating of 1,409 (1,407–1,412) from 125,521 votes (published Oct 15, 2026). Human preference is a different measure from benchmark ability and is not part of SI-IQ. Arena (Hugging Face)

Computed with SI-IQ method version 1.0.0. Read the full methodology

Data sources: Arena leaderboard dataset on Hugging Face (CC BY 4.0); Berkeley Function Calling Leaderboard, Gorilla project (Apache-2.0); API list prices via LiteLLM's price table (MIT); each price links to the developer's pricing page; Source: OpenRouter (openrouter.ai), licensed under CC BY 4.0: reuse and republish with attribution to OpenRouter..