LIVE
BODYBUILDER$-1000000.00▼ 5.4%
GLM-4-LONG$0.00▼ 14.1%
GEMINI-2.0-FLA$0.30▼ 20.0%
GEMINI-2.0-FLA$0.40▼ 6.6%
-CF$0.00▼ 9.7%
DEEPSEEK-V4-FL$0.28▼ 26.3%
LLAMA-4-MAVERI$0.60▼ 11.9%
GROK-4-FAST$0.50▼ 6.0%
QWEN-PLUS$0.78▼ 0.6%
MINIMAX-M2.1$0.95▲ 2.6%
MINIMAX-M2$1.00▲ 2.9%
MINIMAX-01$1.10▲ 8.0%
GPT-4.1-MINI$1.60▼ 13.7%
GROK-4-1-FAST-$0.50▲ 8.9%
GPT-4.1-MINI-2$1.60▼ 31.8%
XAI$0.00▲ 4.5%
MINIMAX-M2.7$0.00▼ 9.9%
QWEN3.5-FLASH-$0.26▼ 31.0%
GPT-4.1-NANO$0.40▼ 13.0%
GEMINI-2.5-FLA$0.40▼ 0.8%
DEEPSEEK-AI$0.00▼ 27.0%
GROK-4.1-FAST$0.50▼ 16.4%
MINIMAX-M3$1.20▼ 6.1%
GOOGLE$1.50▼ 3.4%
AUTO$0.00▲ 9.7%
GOOGLE$0.00▼ 27.8%
MINIMAX-M2.7$1.20▼ 7.2%
GOOGLE$0.00▼ 0.6%
BODYBUILDER$-1000000.00▼ 5.4%
GLM-4-LONG$0.00▼ 14.1%
GEMINI-2.0-FLA$0.30▼ 20.0%
GEMINI-2.0-FLA$0.40▼ 6.6%
-CF$0.00▼ 9.7%
DEEPSEEK-V4-FL$0.28▼ 26.3%
LLAMA-4-MAVERI$0.60▼ 11.9%
GROK-4-FAST$0.50▼ 6.0%
QWEN-PLUS$0.78▼ 0.6%
MINIMAX-M2.1$0.95▲ 2.6%
MINIMAX-M2$1.00▲ 2.9%
MINIMAX-01$1.10▲ 8.0%
GPT-4.1-MINI$1.60▼ 13.7%
GROK-4-1-FAST-$0.50▲ 8.9%
GPT-4.1-MINI-2$1.60▼ 31.8%
XAI$0.00▲ 4.5%
MINIMAX-M2.7$0.00▼ 9.9%
QWEN3.5-FLASH-$0.26▼ 31.0%
GPT-4.1-NANO$0.40▼ 13.0%
GEMINI-2.5-FLA$0.40▼ 0.8%
DEEPSEEK-AI$0.00▼ 27.0%
GROK-4.1-FAST$0.50▼ 16.4%
MINIMAX-M3$1.20▼ 6.1%
GOOGLE$1.50▼ 3.4%
AUTO$0.00▲ 9.7%
GOOGLE$0.00▼ 27.8%
MINIMAX-M2.7$1.20▼ 7.2%
GOOGLE$0.00▼ 0.6%
USMultimodalGEMINI-3.1-FLA Live · updated daily

gemini-3.1-flash-lite-preview

Google
Efficiency score
96/100
+9.4%
Input price
$0.25/ 1M tokens
Output price
$1.50/ 1M tokens
Context window
1049K
Throughput
153tok/s
Availability
98.3%
Cost / task
$0.001

Arena Elo 1249Human-preference rating · LMArena (shown where the model is ranked)

Capabilities

Accepts (input)
Vision
Produces (output)
Text

7-day heat trend

+9.4%

Pricing breakdown

Input price
$0.25/ 1M tokens
$0.0003 / 1K
Output price
$1.50/ 1M tokens
$0.0015 / 1K
Blended price
$1.19/ 1M tokens
$0.0012 / 1K

Typical 3:1 output-to-input mix, per 1M tokens

Estimated monthly cost by workload

Chat assistant
$255.00/ mo
1K in · 400 out · 10K req/day
RAG / long context
$435.00/ mo
8K in · 600 out · 5K req/day
Agent / tool use
$720.00/ mo
3K in · 1.5K out · 8K req/day
Estimate your cost →

Market position

  • Cheaper than 26% of tracked models
  • Faster than 60% of tracked models
  • Efficiency rank: #41 of 1105

Best suited for

Mixed text, image, audio and document workloads that benefit from one model across modalities.

About gemini-3.1-flash-lite-preview

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across...

gemini-3.1-flash-lite-preview is a Multimodal model from Google (US). HotON.ai tracks it at $0.25 per 1M input tokens and $1.50 per 1M output tokens, with a 1049K-token context window, ~153 tokens/sec throughput and 98.3% availability. Its composite efficiency score is 96/100 at an estimated $0.001 per successful task.

Compare gemini-3.1-flash-lite-preview

GEMINI-3.1-FLA vs GEMINI-2.0-FLAGEMINI-3.1-FLA vs GEMINI-2.0-FLAGEMINI-3.1-FLA vs -CFGEMINI-3.1-FLA vs LLAMA-4-MAVERI

Related market news

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Frequently asked questions

How much does gemini-3.1-flash-lite-preview cost per 1M tokens?+

gemini-3.1-flash-lite-preview is tracked at $0.25 per 1M input tokens and $1.50 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.19 per 1M tokens. Figures are illustrative demo data.

What is gemini-3.1-flash-lite-preview best for?+

Mixed text, image, audio and document workloads that benefit from one model across modalities.

How fast is gemini-3.1-flash-lite-preview?+

gemini-3.1-flash-lite-preview delivers about 153 tokens/sec with 98.3% tracked availability, suitable for latency-sensitive, real-time applications.

Is gemini-3.1-flash-lite-preview cheaper than other AI models?+

Within the HotON.ai tracked set, gemini-3.1-flash-lite-preview is cheaper than 26% of models on input price and ranks #41 of 1105 by overall efficiency.

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−9.7%
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Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.