Inference
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Gemini 3.1 Flash-Lite

Gemini 3.1 Flash-Lite is a standard model from Google. 8 benchmarks count toward its index, in 5 categories.

  • Closed weights
  • Standard
  • Input: text · image · video · file · audio
  • Released 2026-03
RankedEnough results for an index.
IndexAll categories, out of 100.51.9±8.7Median 51.0
CoverageIndex weight that has results.70%
SpeedOutput tokens per second.134/sMedian 67/s
First tokenSeconds to the first output token.0.8 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.25Median $0.60
Output / 1MUS dollars per 1M output tokens.$1.50Median $2.55
ContextMaximum tokens in one request.1.05MMedian 262K
EloLMArena rating and rank.—Median 1422

Details

From OpenRouter
API IDThe model ID on OpenRouter.
google/gemini-3.1-flash-lite
Max outputMaximum output tokens per request.
66K
Knowledge cutoffLast date of training data.
—
ToolsTool calls on OpenRouter.
Yes
JSON outputOutput follows a given JSON schema.
Yes
Cache read / 1MUS dollars per 1M cached tokens.
$0.025
WeightsLink to the published weights.
—
RetiresDate OpenRouter removes the model.
—

Where to run

APIs that serve this model.
3 providers
ProviderTypeMaker, cloud, host or router.InputOutputContext
Google Vertex AIMaker$0.25$1.501.05M
OpenRouterRouter$0.25$1.501.05M
SAP AI CoreCloud$0.25$1.501.05M

US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.1 counted46.7—
CodingCode writing and repair.None counted——
ReasoningLogic problems and puzzles.2 counted59.768 / 227
MultimodalTasks with images and text.2 counted50.167 / 84
KnowledgeFacts and expert knowledge.1 counted52.3—
MultilingualTasks in many languages.None counted——
InstructionTasks with strict prompt rules.None counted——
MathMath problems.2 counted50.585 / 168

Results

8 counted
BenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
GPQA diamond · Epoch AIKnowledge81.8% ±2.782 / 217
OTIS Mock AIME 2024-2025Math80.0% ±6.086 / 200
jevBench15Reasoning19.6%52 / 103
ParseBench: document parsing for AI agents (LlamaIndex leaderboard)Multimodal56.7%30 / 39
FrontierMath-Tiers-1-3-v2-PrivateMath27.7% ±2.770 / 90
Gert Labs Composite Game BenchmarkAgentic38.5%41 / 52
jevBench14Reasoning14.3%72 / 89
CharXiv ReasoningMultimodal73.2%46 / 49

Sources

BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseEpoch AICC BYmodels.devMIT

History

5 releases
Index52.8 → 51.9
23 Oct 202612 Nov 2026
Output / 1M$1.50 → $1.50
23 Oct 202612 Nov 2026

Questions

How much does Gemini 3.1 Flash-Lite cost?
$0.25 per 1M input tokens, $1.50 per 1M output tokens.
How good is Gemini 3.1 Flash-Lite?
Its index is 51.9 out of 100. That is place 133 of 283 ranked models.
What is Gemini 3.1 Flash-Lite best at?
Reasoning: 59.7 out of 100, place 68 of 227.
How fast is Gemini 3.1 Flash-Lite?
134 output tokens per second, 0.8 s to the first token.
What is the context window of Gemini 3.1 Flash-Lite?
1.05M tokens.
Is Gemini 3.1 Flash-Lite open source?
No. Its weights are not published.
When was Gemini 3.1 Flash-Lite released?
March 2026.

Badge

Gemini 3.1 Flash-Lite on Inference360: place 133 of 283, index 51.9
HTML
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Markdown
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Lower price

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