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Gemini 3.1 Flash-Lite benchmarks, pricing and specs

Gemini 3.1 Flash-Lite is a Google model released on May 7, 2026 that takes text, image, audio and video input and produces text. It costs $0.25 per 1M input tokens and $1.50 per 1M output tokens and accepts up to 1,048,576 tokens of context. It scores 81.8% on GPQA Diamond, #33 of 37 current models (Epoch AI, measured October 12, 2026).

Per 1M input tokens
$0.25
Per 1M output tokens
$1.50
Context window
1.05M
GPQA Diamond
81.8% · #33/37

Data verified October 12, 2026 · Dataset 2026-10-12

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Key facts

Provider
Google
Model family
Gemini 3.1
Release date
May 7, 2026
Status
Current
Access
API only
API model id
Not reported
Context window
1,048,576 tokens
Max output
65,536 tokens
Input
text, image, audio, video
Output
text
Task families
text, multimodal
Declared capabilities
reasoning, translation, extraction

Gemini 3.1 Flash-Lite pricing

It is the #5 cheapest of 37 current text models priced per 1M input tokens.

UnitPrice (USD)TierAppliesSource
1M input tokens$0.25standardCurrent
1M output tokens$1.50standardCurrent
1M input tokens$0.025cachedCurrent
1M input tokens$0.50standard audioCurrent
1M input tokens$0.05cached audioCurrent

Independent benchmark results

Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Google's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.

BenchmarkScoreRankMeasuredSource
GPQA Diamond81.8%#33 of 37October 12, 2026Epoch AI · 2026-10-12
FrontierMath Tiers 1-3 (v2)27.7%#33 of 37October 12, 2026Epoch AI · 2026-10-12

Strengths, cautions and best uses

Strengths

  • Google documents low-latency multimodal processing for high-volume translation, extraction, and lightweight agentic tasks

Cautions

  • The published price for audio input differs from the listed text, image, and video input price
  • Google's earliest published shutdown date is 2027-05-07; migrate to gemini-3.5-flash-lite.

Best for

  • High-volume multimodal extraction and translation

Alternatives to Gemini 3.1 Flash-Lite

The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.

Compare Gemini 3.1 Flash-Lite with

Other Gemini 3.1 models

Gemini 3.1 Flash-Lite FAQ

How much does Gemini 3.1 Flash-Lite cost?

Gemini 3.1 Flash-Lite costs $0.25 per 1M input tokens and $1.50 per 1M output tokens at the standard tier. It is the #5 cheapest of 37 current text models priced per 1M input tokens. Source: Google, verified October 11, 2026.

What is the context window of Gemini 3.1 Flash-Lite?

Gemini 3.1 Flash-Lite accepts up to 1,048,576 tokens of context. It can return up to 65,536 tokens in one response. That ranks #10 of 44 current text models by context length.

How does Gemini 3.1 Flash-Lite score on independent benchmarks?

Gemini 3.1 Flash-Lite scores 81.8% on GPQA Diamond, #33 of 37 current models (Epoch AI, measured October 12, 2026) and 27.7% on FrontierMath Tiers 1-3 (v2), #33 of 37 current models (Epoch AI, measured October 12, 2026). These are independent evaluations, not Google's own launch figures.

Is Gemini 3.1 Flash-Lite open source or API only?

Gemini 3.1 Flash-Lite is available through Google's API only; its weights are not published.

What are the best alternatives to Gemini 3.1 Flash-Lite?

The closest current alternatives by price and measured performance are Claude Haiku 5.5 (60% cheaper per 1M input tokens, $0.10 vs $0.25), DeepSeek-V4.1-Flash (20% more per 1M input tokens, $0.30 vs $0.25), Gemini 3.5 Flash-Lite (20% more per 1M input tokens, $0.30 vs $0.25) and GPT-5.6 Luna (20% cheaper per 1M input tokens, $0.20 vs $0.25).

Sources

Cite this page

Van Data Team. "Gemini 3.1 Flash-Lite Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/gemini-3-1-flash-lite

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Production evaluation

Deciding whether Gemini 3.1 Flash-Lite fits your workload?

Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • Evaluation cases and acceptance thresholds tied to real work
  • Model routing, fallbacks and cost controls