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ModelCap

Gemini 3.5 Flash Lite

Arena #71No linked weights7d #35 → #34

Google·#34 of 352 on the current board·cheaper than #30 DeepSeek V4 Pro 0813

Gemini 3.5 Flash Lite is a language model from Google. It ranks #34 of 352 on ModelCap's current board, with an Index score of 72.8, measured on 3 public benchmarks. Its score range of 68.0–77.6 spans positions #24–#52. It is listed at $0.30 per million input tokens and $2.50 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 · Current board
72.8#34
Measured on 3 public benchmarks · range 68.0–77.6
Evidence as of 4 Nov 2026, 23:07 UTC
Market Gravity
46.4Increased by 0.1
Secondary market signal
Input
$0.30
per 1M tokens
Output
$2.50
per 1M tokens
Context
1M
tokens
Providers
2
8 endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Googleglobal/flexCheapest$0.15$1.251M—82.14%
Google AI Studioflex$0.15$1.251M—100.0%
Googleglobal$0.30$2.501M—100.0%
Google AI Studio$0.30$2.501M—100.0%
Googleeu$0.33$2.751M—100.0%
Googleus$0.33$2.751M——
Googleglobal/priority$0.54$4.501M—100.0%
Google AI Studiopriority$0.54$4.501M—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. An independent general board already measures this model, so these claims play no part in its score.

BenchmarkReportedSame table, other models
SWE-bench Pro
54.2
GPT-5.4 mini 54.4 · Claude Haiku 4.5 39.5 · Gemini 3.1 Flash-Lite 38.3
Terminal-Bench 2.1 terminus 2 harness
54
GPT-5.4 mini 59.2 · Claude Haiku 4.5 44.2 · Gemini 3.1 Flash-Lite 31
OSWorld Verified
74
GPT-5.4 mini 72.1 · Gemini 3.1 Flash-Lite 54.3 · Claude Haiku 4.5 50.7

Other versions (3)

ModelCap Index · Current board

Methodology
72.8
Measured on 3 public benchmarks
Current board
#34 of 352
Score range
68.0–77.6
Rank range
#24–#52
Evidence as of
4 Nov 2026, 23:07 UTC
Benchmarks used
ARC-AGI-2 Verified, Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 3 public benchmark observations across 3 boards
Index support
65.5% · strong
Identity binding
Exact catalogue product · google/google/gemini-3.5-flash-lite · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
3
Qualified Index evidence point
72.8
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
72.8
Evidence status
confirmed · 87% mass
General preference
74.1
Coding
70.1
Agents & tools
—
Reasoning
25.6
Evidence breadth
95%
Evidence coverage
66%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
30.9
Liquidity (providers × uptime)
74.5
Open reach (HF downloads)
—
Surface (context / tools / modalities)
100.0
Freshness
66.3
  • · OpenRouter popularity #56
  • · 2 live providers
  • · Catalogue: context 1048576, reasoning, tools, modalities Text/Image/Video/File/Audio
  • · First seen 2026-07-21

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

BES evidence selected · measured input only

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.

Deployment readiness

Metadata index
47.9
partial · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
88.2
Evaluation provenance
76.8

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, 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
46.4
OpenRouter weekly popularity
#56 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

Status
Ranked
Source
LMArena
Official rank
#71 of 419
Rating
1455.7
95% confidence interval
1451–1460
Votes
36K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
30.9

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
74.5

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%
66.3

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

Specification

Model ID
google/gemini-3.5-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, Video, File, Audio
Outputs
Text
Tokenizer
Gemini
Cached input tokens
$0.03 / 1M
First seen on OpenRouter
21 Jul 2026

Capabilities

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

Compare Gemini 3.5 Flash Lite with

Pick any model

Benchmark leaderboards featuring Gemini 3.5 Flash Lite

All leaderboards
Public benchmark boards on which Gemini 3.5 Flash Lite has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)14561451–1460#71 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)15021495–1509#77 of 414Default28 Oct 2026
ARC-AGI-2 leaderboardARC Prize Foundation10.3%#163 of 280High4 Nov 2026
Artificial Analysis Intelligence IndexArtificial Analysis11.7#85 of 98Reasoning28 Oct 2026

Alternatives to Gemini 3.5 Flash Lite, by the numbers

Ranked neighbours

Models within 3 places of #34 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Google models

The same publisher's other current models with a public Index position.

Gemini 3.5 Flash Lite: common questions

How does Gemini 3.5 Flash Lite rank among AI models?

Gemini 3.5 Flash Lite holds ModelCap Index position #34 of 352 ranked language models as of 6 November 2026, with an Index score of 72.8 (interval 68.0–77.6); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Gemini 3.5 Flash Lite cost per 1M tokens?

Gemini 3.5 Flash Lite is listed at $0.30 per 1M input tokens and $2.50 per 1M output tokens as of 6 November 2026; the lowest output price among 2 providers is $1.25 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 $1.85 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 3.5 Flash Lite?

Gemini 3.5 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 3.5 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 3.5 Flash Lite?

2 providers serve Gemini 3.5 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.

Which benchmarks has Gemini 3.5 Flash Lite been evaluated on?

Gemini 3.5 Flash Lite has published results on 4 public boards tracked by ModelCap as of 6 November 2026: Arena text 1456 (#71 of 419), Arena coding 1502 (#77 of 414), ARC-AGI-2 10.3% (#163 of 280) and AA Intelligence Index 11.7 (#85 of 98). 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.

How does Gemini 3.5 Flash Lite compare with Gemma 4 31B?

Gemini 3.5 Flash Lite ranks #34 (Index 72.8) and Gemma 4 31B ranks #37 (Index 71.9) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Gemini 3.5 Flash Lite released?

Gemini 3.5 Flash Lite first appeared in the catalogue on 21 Jul 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.