Capability
60.5/100
field median 58.1
#67 of 232 ranked models
Gemini 3.5 Flash-Lite
Released Jul 21, 2026 — see all recent releases
Decision reading
Gemini 3.5 Flash-Lite scores 60.5 out of 100 and ranks #67 of 232. This profile shows 10 source-displayable benchmark rows; its strongest eligible category is Knowledge at #71. API pricing is $0.3 input and $2.5 output per million tokens, with cached input at $0.03.
Data as of September 4, 2026 · How the score is built
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Strongest published evidence
Knowledge ranks #71. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Validate before choosing
10 published rows leave some tracked benchmark slots empty. Coding is its lowest eligible category at #121.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
$0.30input / $2.50 output
input median $1
cached $0.030 · batch + cache $0.020 · blended $1.40
Speed
391tok/s
field median 92 tok/s
First token 6.48 s
Context
1Mtokens
field median 256,000
Maximum output length is tracked separately
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Gemini 3.5 Flash-Lite category percentile values
- Agentic31st percentile
- Coding34th percentile
- ReasoningNot eligible
- Knowledge61st percentile
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#104/151
- Coding#121/183
- ReasoningNot ranked
- Knowledge#71/181
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
What it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Current modelGemini 3.5 Flash-Lite · 60.5 score · $1.40 blended per million tokens
Horizontal: blended price per million tokens, log scale · Vertical: public score
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic3/3 verified
- Coding4/4 verified
- Reasoning1/1 verified
- Knowledge2/2 verified
- MathNot measured
- MultilingualNot measured
- MultimodalNot measured
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- gemini-3.5-flash-liteGoogle Gemini 3.5 Flash-Lite model documentation
- Context window
- 1MGoogle latest Gemini model guide
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- text, image, video, audio, pdfGoogle Gemini 3.5 Flash-Lite model documentation
- Output modalities
- textGoogle Gemini 3.5 Flash-Lite model documentation
- Parameters
- Not disclosed by the provider
- Availability
- Gemini API · Google AI StudioGoogle latest Gemini model guide
- Cloud regions
- Not tracked yet
- Lifecycle
- activeGoogle Gemini 3.5 Flash-Lite model documentation
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.030 per million cached input tokensGoogle Gemini API pricing
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #104 of 151Percentile 31stWeight 22%3 benchmarksVerified | 43.4 | #104 of 151 | 31st | 22% | 3 benchmarks | Verified |
| CodingRank #121 of 183Percentile 34thWeight 20%4 benchmarksVerified | 43.6 | #121 of 183 | 34th | 20% | 4 benchmarks | Verified |
| ReasoningRank Not rankedWeight 17%1 benchmarkVerified | 60.8 | Not ranked | Not available | 17% | 1 benchmark | Verified |
| KnowledgeRank #71 of 181Percentile 61stWeight 12%2 benchmarksVerified | 53.0 | #71 of 181 | 61st | 12% | 2 benchmarks | Verified |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score54.2% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap27 behind | WeightWeighted 25% | |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score79.0% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap11.5 behind | WeightWeighted 15% | |
| Terminal-Bench 2.0 | Score54.0% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap37.9 behind | WeightDisplay only | |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score75.0% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap22 behind | WeightDisplay only | Verified |
Agentic3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score54% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap37.9 behind | WeightWeighted 30% | |
| OSWorld-Verified | Score74% | Versus best verified row Best verified: Qwen3.8 Max · 86.1% | Gap12.1 behind | WeightWeighted 25% | |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score50.2% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap37.1 behind | WeightDisplay only |
Reasoning1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MRCRv2 | Score72.2% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.6% | Gap21.4 behind | WeightWeighted 20% |
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score85.8% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap6.6 behind | WeightWeighted 10% | Verified |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score83.8% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap11.7 behind | WeightDisplay only |
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Mar 3, 2026
Gemini 3.1 Flash-LiteScore 56.1 · $0.25 / $1.5
Jul 21, 2026 · you are here
Gemini 3.5 Flash-LiteScore 60.5 · $0.3 / $2.5
Base entry
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Gemini 3.5 Flash-Lite ranks #67 of 232 on the public leaderboard with a score of 60.5/100. Its source-verified position is #50 of 130.
Gemini 3.5 Flash-Lite is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Available through the Gemini API in Google AI Studio and Android Studio, Gemini Enterprise, and the Gemini app.
Its explicit predecessor is Gemini 3.1 Flash-Lite. 10 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Knowledge at #71, while its lowest eligible position is Coding at #121. particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Radar
Full release historyGemini 3.5 Flash-Lite release history
Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber released
Google · Model release
Source confirmed
Radar confirmed these at the source. Already tracking Gemini 3.5 Flash-Lite? See the free Radar Brief for what changes next.
Frequently asked questions
How does Gemini 3.5 Flash-Lite perform overall in AI benchmarks?
Gemini 3.5 Flash-Lite ranks #67 out of 232 models on the public BenchAlign leaderboard, with a score of 60.5/100. Its evidence status is Supported, and this profile shows 10 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Gemini 3.5 Flash-Lite good for knowledge and understanding?
Gemini 3.5 Flash-Lite ranks #71 out of 181 eligible models for knowledge and understanding, with a public category score of 53/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Gemini 3.5 Flash-Lite good for coding and programming?
Gemini 3.5 Flash-Lite ranks #121 out of 183 eligible models for coding and programming, with a public category score of 43.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Gemini 3.5 Flash-Lite good for reasoning and logic?
Gemini 3.5 Flash-Lite has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Gemini 3.5 Flash-Lite good for agentic tool use and computer tasks?
Gemini 3.5 Flash-Lite ranks #104 out of 151 eligible models for agentic tool use and computer tasks, with a public category score of 43.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Does Gemini 3.5 Flash-Lite have full benchmark coverage on BenchLM?
No. Gemini 3.5 Flash-Lite currently has 26 source-displayable rows across 422 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Compare Gemini 3.5 Flash-Lite with every tracked model410 comparisons
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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