BlogLLM Benchmark Scores as Published, Side by Side

Gemini 3.5 Flash-Lite: Benchmark Scores as Published

Every result the catalog holds for Gemini 3.5 Flash-Lite: 9 tests in 6 areas, from 3 pages. All were printed by Google itself. Each number is as printed; nothing is ranked or rescored.

Developer GoogleReleased 2026-07-21Context window 1.05MMax output 65.5KInput Text, image, video, audio, PDFOutput TextWeights ClosedData version 2026103001, as of 2026-10-30

Knowledge Work

TestValuePrinted bySetup as printed
GDPval-AA v21140Google, Gemini 3.5 Flash-Lite model cardchecked 2026-10-15-

Agentic Coding

TestValuePrinted bySetup as printed
SWE-Bench Pro54.2%Google, Gemini 3.5 Flash-Lite model cardchecked 2026-10-15-
Terminal-Bench 2.154%Google, Gemini 3.5 Flash-Lite model cardchecked 2026-10-15Harness: Terminus-2

ML Engineering

TestValuePrinted bySetup as printed
MLE-bench39.2%Google, Gemini 3.5 Flash-Lite model cardchecked 2026-10-15-

Long Context

TestValuePrinted bySetup as printed
MRCR v2 8-needle 128K72.2%Google, Gemini 3.5 Flash-Lite model cardchecked 2026-10-15Context: 128k (average)
MRCR v2 8-needle 1M (pointwise)21.3%Google, Gemini 3.5 Flash-Lite model cardchecked 2026-10-15Context: 1M (pointwise)

Computer Use

TestValuePrinted bySetup as printed
OSWorld-Verified74%Google, Gemini 3.5 Flash-Lite model cardchecked 2026-10-15-

Multimodal Understanding

TestValuePrinted bySetup as printed
CharXiv Reasoning (no tools)74.5%Google, Gemini 3.5 Flash-Lite model cardchecked 2026-10-15Tools: none
CharXiv Reasoning (with tools)76.5%Google, Gemini 3.5 Flash-Lite model cardchecked 2026-10-15Tools: enabled; exact tools in source

Price

API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked. Cost per task is measured by Vals AI.

PriceValuePrinted bySetup as printed
Input$0.3Google, Gemini API pricingchecked 2026-10-15-
Cached input$0.03Google, Gemini API pricingchecked 2026-10-15-
Output$2.5Google, Gemini API pricingchecked 2026-10-15-
Input, batch$0.15Google, Gemini API pricingchecked 2026-10-15-
Cached input, batch$0.02Google, Gemini API pricingchecked 2026-10-15-
Output, batch$1.25Google, Gemini API pricingchecked 2026-10-15-
Input, flex$0.15Google, Gemini API pricingchecked 2026-10-15-
Cached input, flex$0.02Google, Gemini API pricingchecked 2026-10-15-
Output, flex$1.25Google, Gemini API pricingchecked 2026-10-15-
Input, priority$0.54Google, Gemini API pricingchecked 2026-10-15-
Cached input, priority$0.05Google, Gemini API pricingchecked 2026-10-15-
Output, priority$4.5Google, Gemini API pricingchecked 2026-10-15-
Input, contributor$0.15Google, Gemini API pricingchecked 2026-10-15-
Cached input, contributor$0.015Google, Gemini API pricingchecked 2026-10-15-
Output, contributor$1.25Google, Gemini API pricingchecked 2026-10-15-
Cost per taskVals AI, USD, lower is better$0.83Vals AI, Vibe Code Bench v1.1 leaderboardchecked 2026-10-27Harness: OpenHands

More from Google

Every number here is read from the same catalog file as the benchmark table, data version 2026103001. Where one page printed the model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.