Models · Google (Gemini / DeepMind) · Out sinceReleased 21 Jul 2026
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite is made by Google (Gemini / DeepMind). We don't have enough test results yet to rank it. It's cheap to use.
Current cheap tier. API default thinking_level = minimal; Google's published evals use high thinking.
- —
- —
- —
- Cheap$0.30 / $2.50
- $0.85
- 1M
- 66K
- 10 (1 independent1 indep.)
- 21 Jul 2026
- Google (Gemini / DeepMind)
- text, image, audio, video
Scores are out of 100 for each area, compared with every model we track; “#” is its rank. Context is how much text it can read at once (1M is roughly 700,000 words). Blended price mixes the cost of what you send and what it writes back.
OpenRouter is a service that gives access to many AI models in one place. This model is listed there as google/gemini-3.5-flash-lite.
Route it as google/gemini-3.5-flash-lite at $0.30 in / $2.50 out per 1M tokens, 1M context. Listed since 21 Jul 2026.
include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p
Every test result
Every result
All the numbers,with where they came from.
Every result we've found for this model, with who measured it and a link to where we read it.
All raw rows (vendor and independent kept separate), with setting label, source, date, harness and notes.
| NotesNotes | ||||||
|---|---|---|---|---|---|---|
| CharXiv Reasoning (no tools) | 74.5% | Highhigh thinking | Maker's own figureVendor-reportedGoogle ↗ | 21 Jul 2026 | — | |
| CharXiv Reasoning (with tools) | 76.5% | Highhigh thinking | Maker's own figureVendor-reportedGoogle ↗ | 21 Jul 2026 | — | |
| EuroEval Swedish (generative) | 1.7 | Defaultgemini/gemini-3.5-flash-lite (zero-shot, val) | Independent testIndependentEuroEval (Alexandra Institute) ↗ | 29 Sep 2026 | — | EuroEval rank tier 5; ±0.06; lower is better; task scores (first metric): SweDN summarisation 36.72 ± 0.20, Skolprov 64.22 ± 2.47, Swedish facts 62.26 ± 2.61, ScaLA-sv 70.68 ± 1.13 |
| GDPval-AA v2 | 1140 | Highhigh thinking | Maker's own figureVendor-reportedGoogle ↗ | 21 Jul 2026 | — | |
| MLE-Bench (Partial 30) | 39.2% | Highhigh thinking | Maker's own figureVendor-reportedGoogle ↗ | 21 Jul 2026 | interactive Bash harness | |
| MRCR v2 (8-needle, 1M pointwise) | 21.3% | Highhigh thinking | Maker's own figureVendor-reportedGoogle ↗ | 21 Jul 2026 | — | 1M pointwise. |
| OpenAI MRCR v2 (8-needle) | 72.2% | Highhigh thinking | Maker's own figureVendor-reportedGoogle ↗ | 21 Jul 2026 | — | 128k average. |
| OSWorld-Verified | 74.0% | Highhigh thinking | Maker's own figureVendor-reportedGoogle ↗ | 21 Jul 2026 | — | Avg of 5 runs. |
| SWE-Bench Pro (public, v1) | 54.2% | Highhigh thinking | Maker's own figureVendor-reportedGoogle ↗ | 21 Jul 2026 | internal Antigravity harness | Full public set. |
| Terminal-Bench 2.1 | 54.0% | Highhigh thinking | Maker's own figureVendor-reportedGoogle ↗ | 21 Jul 2026 | Terminus 2 |