🆕 NewJuly 21, 2026
Gemini 3.6 Flash and 3.5 Flash-Lite released
Google ships a stronger agentic workhorse at $1.50/$7.50 per million tokens and a high-throughput Flash-Lite tier at $0.30/$2.50, both with 1M-token context windows.
Gemini 3.6 Flash
🧠 Reasoning🌐 Web Search
Google's newest workhorse model. Stronger at agentic coding than 3.5 Flash while using fewer tokens and charging less for output.
Released July 21, 2026
Pricing
Input tokens$1.50/M
Output tokens$7.50/M
Capacity
Context window1.0M tokens
Max output66K tokens
Capabilities
✓Reasoning & Planning
✓Web Search
✗Open Source
Best Scores
GDPval-AA v21423.0 pts
Terminal-Bench 2.178.0%
SWE-bench Pro58.7%
Artificial Analysis Intelligence Index50.0 pts
Best For
💻coding
📊analysis
🔬research
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
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 73.78%.
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.
Reasoning
Artificial Analysis Intelligence Index
A frequently refreshed overall score made from nine modern tests: real work, tool use, terminal tasks, science, hard questions, and long-context reasoning. It is a scorecard rather than a percent correct.
Independently measured by Artificial Analysis.
Why Choose Gemini 3.6 Flash?
Gemini 3.6 Flash improves coding, computer use, and long-running agent workflows while cutting output cost and token usage versus 3.5 Flash. Its 1M-token context and built-in Google tools make it a strong value pick for iterative work.
How It Compares
vs Gemini 3.5 Flash
3.6 Flash scores higher on coding and terminal work, uses fewer tokens, and costs less for output.
vs Claude Sonnet 5
3.6 Flash is cheaper and tightly integrated with Google tools; Sonnet remains stronger on several coding evaluations.