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ModelCap

Gemini 3.1 Flash Lite

No linked weights

Google·#149 of 504 in the all-versions archive

Gemini 3.1 Flash Lite is a language model from Google. It ranks #149 of 504 in ModelCap's all-versions archive, with an Index score of 58.6, modeled from the publisher's launch results against measured models. Its score range of 46.7–70.4 spans positions #86–#234. It is listed at $0.25 per million input tokens and $1.50 per million output tokens across 2 providers. It reads up to 1M tokens of context, with no downloadable weights linked in the current source data.

Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology

ModelCap Index · All-versions archive
58.6#149
Modeled from the publisher's launch results against measured models · range 46.7–70.4
Market Gravity
54.2
Secondary market signal

Superseded by Gemini 3.5 Flash Lite. It no longer holds a current-board position; its all-versions archive rank is #149.

Input
$0.25
per 1M tokens
Output
$1.50
per 1M tokens
Context
1M
tokens
Providers
2
8 endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Googleglobal/flexCheapest$0.125$0.751M—47.06%
Google AI Studioflex$0.125$0.751M—100.0%
Googleglobal$0.25$1.501M—100.0%
Google AI Studio$0.25$1.501M—100.0%
Googleeu$0.275$1.651M—100.0%
Googleus$0.275$1.651M—100.0%
Googleglobal/priority$0.45$2.701M—100.0%
Google AI Studiopriority$0.45$2.701M—100.0%

Publisher launch results (3)

Publisher’s own claims

Scores Google publishes for this model, with the figures the same tables give for other models. They are the publisher describing its own model, not independent measurement. Rows marked as used placed this model’s launch estimate against peers ModelCap measures independently, with the replay-measured optimism haircut applied; the others played no part.

BenchmarkReportedSame table, other modelsUse
GPQA Diamond without tools
86.9
Grok 4.1 Fast 84.3 · Gemini 2.5 Flash 82.8 · GPT-5 mini 82.3 · Claude 4.5 Haiku 73 · +1 moreUsed in launch estimate
MMMU-Pro without tools
76.8
GPT-5 mini 74.1 · Gemini 2.5 Flash 66.7 · Grok 4.1 Fast 63 · Claude 4.5 Haiku 58 · +1 moreUsed in launch estimate
LiveCodeBench
72
GPT-5 mini 80.4 · Grok 4.1 Fast 76.5 · Gemini 2.5 Flash 62.6 · Claude 4.5 Haiku 53.2 · +1 moreUsed in launch estimate

Other versions (3)

ModelCap Index · All-versions archive

Methodology
58.6
Modeled from the publisher's launch results against measured models
All-versions archive
#149 of 504
Score range
46.7–70.4
Rank range
#86–#234
Technical details
Public rank basis
Modeled · peer benchmarks (architecture)
Evidence label
Modeled · peer benchmarks · publisher-corpus-prior over 210 held-out anchors (15%); launch card against 3 resolved peers on 3 rows (85%); exceeds every named peer on 2 of 3 rows; no cross-lab optimism probe available; shrunk 1.2 up toward the measured corpus
Index support
23.0% · limited
Identity binding
Exact catalogue product · google/google/gemini-3.1-flash-lite · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
0
Qualified Index evidence point
58.6
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
58.6 ± 9.3
Independent share
0%
Shrink toward corpus
+1.2
Peer ceiling share
67%
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
publisher-corpus-prior over 210 held-out anchors
65.1 ± 23.815%
Launch card against resolved peers · not independent
launch card against 3 resolved peers on 3 rows
57.4 ± 10.185%
  • · Launch card row gpqa-diamond-without-tools: claims above every resolved peer
  • · Launch card row livecodebench: inside the resolved peer range
  • · Launch card row mmmu-pro-without-tools: claims above every resolved peer
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
36.7
Liquidity (providers × uptime)
96.0
Open reach (HF downloads)
—
Surface (context / tools / modalities)
100.0
Freshness
49.8
  • · OpenRouter popularity #40
  • · 2 live providers
  • · Catalogue: context 1048576, reasoning, tools, modalities Text/Image/Video/File/Audio
  • · First seen 2026-05-07

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
Estimator abstained

insufficient-artifact-metadata

Feature coverage
86%
Training support
219 models · 128 lineages

insufficient-artifact-metadata. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
31.5
limited · 38% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
84.7
Evaluation provenance
0.0

Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
54.2
OpenRouter weekly popularity
#40 of 339

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
36.7

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
96.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
49.8

Time since first public availability, on a six-month half-life.

Specification

Model ID
google/gemini-3.1-flash-lite
Context window
1M tokens
Declared output cap
66K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, Image, Video, File, Audio
Outputs
Text
Tokenizer
Gemini
Cached input tokens
$0.025 / 1M
First seen on OpenRouter
7 May 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Gemini 3.1 Flash Lite: common questions

How does Gemini 3.1 Flash Lite rank among AI models?

Gemini 3.1 Flash Lite is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does Gemini 3.1 Flash Lite cost per 1M tokens?

Gemini 3.1 Flash Lite is listed at $0.25 per 1M input tokens and $1.50 per 1M output tokens as of 6 November 2026; the lowest output price among 2 providers is $0.75 on Google. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $1.25 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Gemini 3.1 Flash Lite?

Gemini 3.1 Flash Lite has a published context window of 1M tokens (1,048,576). The snapshot lists a 65,536 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Gemini 3.1 Flash Lite open-weight?

No linked weights. No downloadable model weights are linked in the current source data. This does not identify every API or chat product that offers the model.

Which API providers serve Gemini 3.1 Flash Lite?

2 providers serve Gemini 3.1 Flash Lite through OpenRouter as of 6 November 2026: Google and Google AI Studio. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

When was Gemini 3.1 Flash Lite released?

Gemini 3.1 Flash Lite first appeared in the catalogue on 7 May 2026. It has since been superseded by Gemini 3.5 Flash Lite. Rank and price movements since then are recorded on the site's changes feed.