specs at a glance
| Leaderboard rank | #17 of 17 |
|---|---|
| SWE-bench Verified | 75.0% |
| SWE-bench Pro | 54.2% |
| Terminal-Bench | 54% |
| Input price / 1M | $0.30 |
| Output price / 1M | $2.50 |
| Context window | — |
| Open weights | No |
| Access | API · AI Studio |
| Maker | Google DeepMind |
how good is Gemini 3.5 Flash-Lite at coding?
Gemini 3.5 Flash-Lite sits at #17 of 17 ranked models, posting 75.0% on SWE-bench Verified — 21.2 points behind #1 GPT-5.6 Sol. On the harder SWE-bench Pro it scores 54.2%. Terminal-Bench (agentic terminal work): 54%.
Score provenance: Independent (vals.ai, mini-swe-agent bash-only harness): SWE-bench Verified 75.00% ±1.94. Verified Jul 23, 2026 — vals.ai had not run it at our Jul 22 check and it now enters the board last at 17th, but it is the cost outlier: at $0.30/$2.50 per 1M it lands within 3.8 points of Gemini 3.5 Flash (78.8%) for a fifth of the input price, and that gap is inside the combined error bars. SWE-bench Pro 54.2% and Terminal-Bench 2.1 54% remain vendor-reported (Google, Jul 21 2026). Price: Google list $0.30/$2.50 per 1M.
what does Gemini 3.5 Flash-Lite cost?
$0.30 per 1M input tokens and $2.50 per 1M output — the cheapest model we track. Coding workloads are output-heavy, so weight the output rate when budgeting. Run your own volume through the AI API cost calculator for a monthly estimate.
where can you use it?
Available via API · AI Studio. As a proprietary model, you're on the maker's infrastructure and release schedule.
More coverageAI coding models on GENZ TECH
- Google DeepMindvals.ai — SWE-bench Verified (independent)
Ranked on our AI Coding Leaderboard — scores confirmed against primary sources only, updated 2026-07-23.