Skip to content
ModelCap

Gemini 2.5 Flash Lite

No linked weights

Google·#230 of 504 in the all-versions archive

Gemini 2.5 Flash Lite is a language model from Google. It ranks #230 of 504 in ModelCap's all-versions archive, with an Index score of 48.0, modeled from public metadata, not measured. Its score range of 38.3–57.7 spans positions #155–#284. It is listed at $0.10 per million input tokens and $0.40 per million output tokens from one provider. It reads up to 1M tokens of context, with no downloadable weights linked in the current source data.

Figures as of 6 Nov 2026, 20:32 UTC · download the public dataset · methodology

ModelCap Index · All-versions archive
48.0#230
Modeled from public metadata, not measured · range 38.3–57.7
Market Gravity
50.2Increased by 3.2
Secondary market signal

Superseded by Gemini 3.5 Flash Lite. It no longer holds a current-board position; its all-versions archive rank is #230.

Input
$0.10
per 1M tokens
Output
$0.40
per 1M tokens
Context
1M
tokens
Providers
1
3 endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Google AI StudioflexCheapest$0.05$0.201M—100.0%
Google AI Studio$0.10$0.401M—100.0%
Google AI Studiopriority$0.18$0.721M—100.0%

Other versions (3)

ModelCap Index · All-versions archive

Methodology
48.0
Modeled from public metadata, not measured
All-versions archive
#230 of 504
Score range
38.3–57.7
Rank range
#155–#284
Technical details
Public rank basis
Modeled · tier sibling (architecture)
Evidence label
Modeled · tier sibling · publisher-corpus-prior over 210 held-out anchors (10%); smaller lite tier of Gemini 2.5 Flash (54.1) (90%); shrunk 1.9 up toward the measured corpus
Index support
20.0% · limited
Identity binding
Exact catalogue product · google/google/gemini-2.5-flash-lite · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
0
Qualified Index evidence point
48.0
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
48.0 ± 7.6
Independent share
0%
Shrink toward corpus
+1.9
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 ± 23.810%
Tier of a measured base · not independent
smaller lite tier of Gemini 2.5 Flash (54.1)
46.1 ± 8.090%
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)
32.5
Liquidity (providers × uptime)
95.8
Open reach (HF downloads)
—
Surface (context / tools / modalities)
100.0
Freshness
16.6
  • · OpenRouter popularity #51
  • · 1 live provider
  • · Catalogue: context 1048576, reasoning, tools, modalities Text/Image/File/Audio/Video
  • · First seen 2025-07-22

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
30.1
limited · 38% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
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
50.2
OpenRouter weekly popularity
#51 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%
32.5

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
95.8

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%
16.6

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

Specification

Model ID
google/gemini-2.5-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, File, Audio, Video
Outputs
Text
Tokenizer
Gemini
Cached input tokens
$0.01 / 1M
First seen on OpenRouter
22 Jul 2025
Knowledge cutoff
2025-01-31

Capabilities

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

Benchmark leaderboards featuring Gemini 2.5 Flash Lite

All leaderboards
Public benchmark boards on which Gemini 2.5 Flash Lite has a published result
LeaderboardScoreSource rankConfigurationPublished
BFCL V4 function-calling leaderboardUC Berkeley (Gorilla)36.9#39 of 83Function calling12 Apr 2026

Gemini 2.5 Flash Lite: common questions

How does Gemini 2.5 Flash Lite rank among AI models?

Gemini 2.5 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 2.5 Flash Lite cost per 1M tokens?

Gemini 2.5 Flash Lite is listed at $0.10 per 1M input tokens and $0.40 per 1M output tokens as of 6 November 2026. 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 $0.40 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 2.5 Flash Lite?

Gemini 2.5 Flash Lite has a published context window of 1M tokens (1,048,576). The snapshot lists a 65,535 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 2.5 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 2.5 Flash Lite?

One provider serves Gemini 2.5 Flash Lite through OpenRouter as of 6 November 2026: Google AI Studio. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Gemini 2.5 Flash Lite been evaluated on?

Gemini 2.5 Flash Lite has published results on 1 public board tracked by ModelCap as of 6 November 2026: BFCL V4 36.9 (#39 of 83). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

When was Gemini 2.5 Flash Lite released?

Gemini 2.5 Flash Lite first appeared in the catalogue on 22 Jul 2025, with a published knowledge cutoff of 2025-01-31. 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.