BenchLeader

Gemini 2.5 Flash Lite 09

Reasoning effort

Gemini 2.5 Flash Lite 09 is a Google proprietary reasoning model, released 25 Sept 2025. Its best configuration (thinking reasoning effort) ranks #443 of 785 on the BenchLeader Index at 47.9 ±3.0, in the lower half. The ± is the point: 290 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in long context (57) and lowest in reasoning (41). At $0.175 per million tokens blended it is among the cheapest fifth of ranked models. It has been measured at 3 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 13 Oct 2026.

Blended price
$0.175/M
$0.100 in · $0.400 out
Output speed
–
First answer
–
Context
1M
Full answer
–
Cost per run
–
Released
25 Sept 2025
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index48
  2. Reasoning41
  3. Coding51
  4. Agents & tools45
  5. Maths45
  6. Knowledge46
  7. Instruction following54
  8. Multimodal48
  9. Long context57
  10. Composite41

Versions

Google has shipped 6 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.

ModelReleasedIndexRank
Gemini 3.5 Flash Lite21 Jul 202654.4#253
Gemini 3.1 Flash Lite3 Mar 202653.7#274
Gemini 2.5 Flash Lite 09thinkingthis page25 Sept 202547.9#443
Gemini 2.5 Flash-Lite17 Jun 202548.3#432
Gemini 2.0 Flash Lite 00125 Feb 2025––
Gemini 2.0 Flash-Lite5 Feb 202547.2#462

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
no reasoning45.3#519––$0.0002Agents & tools 40 · Composite 40 · Instruction following 44 · Knowledge 42 · Long context 49 · Multimodal 46 · Reasoning 41
thinkingbest47.9#443––$0.0002Agents & tools 45 · Coding 51 · Composite 41 · Instruction following 54 · Knowledge 46 · Long context 57 · Maths 45 · Multimodal 48 · Reasoning 41
not stated46.9#471–––Coding 48 · Knowledge 47 · Maths 42

How its index has moved

9 Sept 2026 to 21 Oct 2026
424752
  • thinking
  • not stated
  • no reasoning

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarkno reasoningthinkingnot statedSource
GPQA Diamond (AA)not in index65.0%#34470.9%#291–Artificial Analysis
Humanity's Last Exam (AA)not in index5.1%#4467.0%#375–Artificial Analysis
GPQA Diamond (Vals)not in index–70.2%#8864.1%#100Vals AI
CritPt0.0%#3150.0%#315–Artificial Analysis

Coding

Benchmarkthinkingnot statedSource
LiveCodeBench71.4%#8367.7%#92Vals AI

Agents & tools

Benchmarkno reasoningthinkingSource
Terminal-Bench Hard7.6%#24112.9%#206Artificial Analysis
τ²-Bench Telecom (AA)not in index30.4%#25830.7%#255Artificial Analysis

Maths

Benchmarkthinkingnot statedSource
AIME (Vals)42.1%#6526.3%#74Vals AI
MGSM88.4%#4989.5%#42Vals AI

Knowledge

Benchmarkno reasoningthinkingnot statedSource
AA-Omniscience-42.6#336-54.0#423–Artificial Analysis
MMLU-Pro–79.1%#9478.6%#97Vals AI
LegalBench–82.0%#7679.0%#97Vals AI
CorpFin–57.6%#8556.3%#88Vals AI
TaxEval–64.7%#11266.2%#110Vals AI
MedQA–88.9%#5180.3%#69Vals AI
MedCodenot in index–34.2%#7827.1%#99Vals AI
MedScribenot in index–66.9%#9675.8%#77Vals AI
AA-Omniscience: accuracynot in index14.2%#44218.0%#349–Artificial Analysis
AA-Omniscience: non-hallucinationnot in index33.9%#19612.2%#378–Artificial Analysis

Instruction following

Benchmarkno reasoningthinkingSource
IFBench41.8%#24252.6%#160Artificial Analysis

Multimodal

Benchmarkno reasoningthinkingnot statedSource
MMMU-Pro63.4%#18965.0%#178–Artificial Analysis
MMMU-Pro (Vals)not in index–75.4%#5372.5%#61Vals AI
MortgageTaxnot in index–57.5%#7055.8%#74Vals AI
SAGEnot in index–30.8%#7728.0%#83Vals AI
VPCTnot in indexeffort not stated––30.0%#30Epoch AI Benchmarking Hub

Long context

Benchmarkno reasoningthinkingSource
AA-LCR49.7%#32564.7%#255Artificial Analysis

Composite

Benchmarkno reasoningthinkingSource
AA Intelligence Index v4.3.29.3#40210.3#379Artificial Analysis

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0002––
Summarize a 30-page report12,000 / 600$0.0014––
Code edit6,000 / 1,500$0.0012––
Agentic coding session60,000 / 4,000$0.0076––
Structured extraction2,000 / 200$0.0003––

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See also

Questions people ask

What are Gemini 2.5 Flash Lite 09's benchmark scores?
As of 25 Oct 2026, Gemini 2.5 Flash Lite 09 (thinking effort) scores 47.9 ±3.0 on the BenchLeader Index, strongest in long context (57) and weakest in reasoning (41). That rests on 15 independent benchmark results, and every score on this page links to its publisher.
How does Gemini 2.5 Flash Lite 09 rank?
Gemini 2.5 Flash Lite 09 (thinking effort) is #443 of 785 ranked configurations on 25 Oct 2026. 290 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
How much does Gemini 2.5 Flash Lite 09 cost per 1M tokens?
As of 25 Oct 2026, Gemini 2.5 Flash Lite 09 costs $0.100 per 1M input tokens and $0.400 per 1M output tokens, $0.175 blended (three input tokens per output token).
When was Gemini 2.5 Flash Lite 09 released?
Google released Gemini 2.5 Flash Lite 09 on 25 Sept 2025. BenchLeader has results for it at 3 reasoning-effort settings.

Data as of 25 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “Gemini 2.5 Flash Lite 09: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/gemini-2-5-flash-lite-09.