whatmodel.sh / Gemini 2.5 Flash-Lite Preview (06-17)

Gemini 2.5 Flash-Lite Preview (06-17) is a closed-weights language model from Google, released June 2025.

Catalogue identity notes

Comparison-only. Arena entry 'gemini-2.5-flash-lite-preview-06-17-thinking' (text, vision; thinking on). Gemini API changelog, June 17, 2025: 'Released gemini-2.5-flash-lite-preview-06-17, a low-cost, high-performance Gemini 2.5 model.' Moved off the GA id in the 2026-10-07 successor audit.

Model information sources

Release date ↗

61.6±2.4comparison only: no current run option verifiedfrom 3 benchmark results across 2 sources

$ how it compares

The LLMs ranked either side of Gemini 2.5 Flash-Lite Preview (06-17), out of 828 with a score, then more from Google.

#modelscorewhereRAMreleased
213Mistral Large 3 (675B-A41B) Mistral62±1api $0.75/M +local~108GB2025-12
214Apriel 1.6 15B Thinker ServiceNow62±2local~10GB2025-11
215Gemini 2.5 Flash-Lite Preview (06-17) Google62±2comparison only2025-06
216Gemini 2.5 Flash Google62±1api $0.85/M2025-06
217MiniMax-M1 (40k) MiniMax61±1comparison only2025-06
more from Google
9Gemini 4 Argon (limited preview) Google82±1limited preview2026-09
23Gemini 3.8 Flash Google77±1api $1.50/M2026-09
32Gemini 3.7 Flash Google76±1api $1.50/M2026-08

see all LLMs · find the ones that fit your machine

$ what it's good at

agent tasks▁▁▂▆█▆▅▄▄▃▂▁ #267 of 340 * · 12% of its score · 1 test

Beats o3-mini here, though they rank higher overall. Trails Granite 4.0 1B, SmolLM3 3B, Phi-3.5-mini-instruct here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
BFCL V4 (2025-11-03 archive, models absent from the December archive)35.3% ✎▃··▅▃▃·▅·▃·█ beats 2/10hard · avg 34%▇▇▇▇▇ 12%at its level
chat & writing▁▁▁▃▅▄▆█▇▇▇▃ #155 of 463 * · 51% of its score · 1 test

Beats o3-mini, EXAONE 4.5 33B, INTELLECT-3 here, though they rank higher overall. Trails LFM2.5 8B-A1B, LFM2.5 2.6B, Spark-X2.5 1.7B here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena (text)1374.9 ✎▁▁▁▂▃▃▃▆▆▇█▃ beats 216/379avg 1268▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 51%blunt
vision & documents▁▁▃▃▂▃▅▄▇▇█▃ #98 of 182 * · 35% of its score · 1 test

Beats DeepSeek V4 Flash Vision (Exp), GPT-5 mini, GLM-4.6V here, though they rank higher overall. Trails GPT-4.1 mini, Qwen3.5 4B, Gemini 2.5 Flash here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena vision (style controlled)1188.4 ✎▁▁▂▂▂▂▄▅▅▆██ beats 65/145avg 1068▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 35%blunt

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · LMArena leaderboard dataset 86%, Berkeley Function Calling Lea… 12%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
LMArena leaderboard dataset2▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 86%CC BY 4.0
Berkeley Function Calling Leaderboard result archive1▇▇▇▇ 12%Apache-2.0
prior · pull toward the middle▇ 3%
weighted average= 61.6

$ improve this page

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated · sources and licences · json