Gemini 3.5 Flash-Lite
Google's fastest, lowest-cost 3.5 model. Built for high-volume extraction, analysis, and autonomous subagent work.
Released July 21, 2026
Pricing
Capacity
Capabilities
Best Scores
Best For
Benchmark Scores
Specialized Skills
GDPval-AA v2
Real paid work from 44 different jobs, such as law, nursing, and software. Judges compare two answers side by side without knowing which model wrote them, and the winner gains rating points. A typical human expert scores 1000, so a higher number means the work was picked over a human more often.
Independently measured by Artificial Analysis.
Software Engineering
SWE-bench Pro
The harder version of the coding test. Bigger codebases, trickier bugs. Scores drop for everyone, so the gaps between models become clearer.
Provider-reported; no independent run recorded yet.
Terminal-Bench 2.1
Puts the AI in front of a computer terminal and asks it to finish multi-step tasks on its own. Measures how good an "AI agent" it is.
Provider-reported; an independent run by Vals AI (Terminus 2) lands at 50.19%.
Why Choose Gemini 3.5 Flash-Lite?
Flash-Lite is designed for workloads where throughput and cost matter most. It keeps a 1M-token context window, reasoning, multimodal input, and built-in tools at a fraction of flagship pricing.
How It Compares
vs Gemini 3.6 Flash
Flash-Lite is five times cheaper on input and three times cheaper on output; 3.6 Flash is stronger for demanding agentic work.
vs Claude Haiku 4.5
Flash-Lite is cheaper with a much larger context window; Haiku posts a stronger published SWE-bench Verified score.