Gemini 2.5 Flash AI Evaluation | LayerLens - Benchmark Results & Performance

Model

Gemini 2.5 Flash by Google

text+image->text

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Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater accuracy and nuanced context handling.

Evaluations

across 32 benchmarks

Latency

6.1s

Context length

tokens

Cost

$0.30 · $2.50

input · output per 1M tokens

Key takeaways

Google's Gemini 2.5 Flash is a Transformer-based model optimized for advanced reasoning, coding, mathematics, and scientific tasks, featuring built-in "thinking" capabilities for enhanced accuracy.
The model demonstrates strong common sense reasoning, achieving 100% accuracy on the CSQ benchmark by providing detailed, well-structured, and comprehensive answers.
The model excels in creative writing, code generation, and adhering to basic constraints, maintaining very low toxicity with high readability.
Key limitations include 0% accuracy on AIME math problems due to inconsistent adherence to specified answer formats and computational errors, suggesting struggles with complex mathematical reasoning and multi-step analysis.
It struggles with complex reasoning tasks, complicated formatting requests combined with creative content generation, and may exhibit conversational filler or hallucination in summarization tasks.

Technical specifications

Context length: 1M tokens
Max output: —
Architecture: Transformer
Modalities: text+image->text
Parameters: ~70B
Open weights: No
Licence: Proprietary
Regions: USA
Vendor: Google
Provider model key: google/gemini-2.5-flash