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Gemini 3.1 Flash Lite vs Extract

Updated October 21, 2026. No benchmark has tested both models yet. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 3.1 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$1.50
S ExtractScaledown
Coding
No data
Overall
No data
Output $/M
No data
vs 1.05M vs 1M context window. About the same size.

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Gemini 3.1 Flash Lite has the edge where the context window is larger, 1.05M against 1M tokens.

No benchmark has tested both yet. Gemini 3.1 Flash Lite has results on SciCode, Terminal-Bench Hard (Artificial Analysis run) and WeirdML; Extract has none yet. Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 3.1 Flash Lite not benchmarked, Extract not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Gemini 3.1 Flash Lite $1.50 against Extract Free per million output tokens.
Context window
Gemini 3.1 Flash Lite takes 1.05M tokens, Extract 1M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index3 boards measured
Coding benchmarks for Gemini 3.1 Flash Lite and Extract
BenchmarkGemini 3.1 Flash LiteExtractLeader
SciCode43.4%Not measuredOnly Gemini 3.1 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)24.2%Not measuredOnly Gemini 3.1 Flash Lite measured
WeirdML52.2%Not measuredOnly Gemini 3.1 Flash Lite measured
Neither model has a result on the other 35 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Gemini 3.1 Flash Lite and Extract
BenchmarkGemini 3.1 Flash LiteExtractLeader
Epoch Capabilities Index144.3Not measuredOnly Gemini 3.1 Flash Lite measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for Gemini 3.1 Flash Lite and Extract
BenchmarkGemini 3.1 Flash LiteExtractLeader
τ²-Bench Telecom31.3%Not measuredOnly Gemini 3.1 Flash Lite measured
DeepResearch Bench37.3%Not measuredOnly Gemini 3.1 Flash Lite measured
Neither model has a result on the other 37 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Reasoning benchmarks for Gemini 3.1 Flash Lite and Extract
BenchmarkGemini 3.1 Flash LiteExtractLeader
GPQA Diamond (Artificial Analysis run)82.2%Not measuredOnly Gemini 3.1 Flash Lite measured
Humanity's Last Exam (Artificial Analysis run)17.2%Not measuredOnly Gemini 3.1 Flash Lite measured
GPQA Diamond (Epoch AI run)81.8%Not measuredOnly Gemini 3.1 Flash Lite measured
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Gemini 3.1 Flash Lite and Extract
BenchmarkGemini 3.1 Flash LiteExtractLeader
OTIS Mock AIME80.0%Not measuredOnly Gemini 3.1 Flash Lite measured
FrontierMath, tiers 1 to 327.7%Not measuredOnly Gemini 3.1 Flash Lite measured
Neither model has a result on the other 11 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
General benchmarks for Gemini 3.1 Flash Lite and Extract
BenchmarkGemini 3.1 Flash LiteExtractLeader
IFBench77.2%Not measuredOnly Gemini 3.1 Flash Lite measured
Long context reasoning (AA-LCR)74.3%Not measuredOnly Gemini 3.1 Flash Lite measured
DTBench76.8%Not measuredOnly Gemini 3.1 Flash Lite measured
LMCA35.0%Not measuredOnly Gemini 3.1 Flash Lite measured
Neither model has a result on the other 42 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.1 Flash Lite$0.0010Fits in one request
Extract$0.0000Fits in one request

Extract costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Flash Lite$0.017Fits in one request
Extract$0.0020Fits in one request

Extract costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Flash Lite$0.065Fits in one request
Extract$0.0080Fits in one request

Extract costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.1 Flash Lite and Extract
SpecificationGoogle Gemini 3.1 Flash LiteScaleDown Extract
MakerGoogleScaledown
WeightsNo public weights listedNo public weights listed
ReleasedMay 7, 2026October 13, 2026
Context window1.05M1M
Input $/Mtok$0.25$0.04
Output $/Mtok$1.50Free
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.1 Flash Lite better than Extract for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Gemini 3.1 Flash Lite has the edge where the context window is larger, 1.05M against 1M tokens.

Which is cheaper, Gemini 3.1 Flash Lite or Extract?

Gemini 3.1 Flash Lite costs $0.25 per million input tokens and $1.50 per million output tokens; Extract costs $0.04 and Free. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 3.1 Flash Lite or Extract?

Gemini 3.1 Flash Lite, with 1.05M tokens against 1M.

Has any benchmark tested both Gemini 3.1 Flash Lite and Extract?

No benchmark has tested both yet. Gemini 3.1 Flash Lite has results on SciCode, Terminal-Bench Hard (Artificial Analysis run) and WeirdML; Extract has none yet. Compare them on price and context instead. Data as of October 21, 2026.

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