Gemini 3.1 Flash-Lite API Pricing
Google's cost-efficient stable Gemini 3.1 tier for high-volume agentic tasks and simple processing: $0.25/M input, $1.5/M output, and $0.025/M cached input. Google has scheduled it to shut down on May 7, 2027 and names Gemini 3.5 Flash-Lite as the replacement. Pulled directly from ai.google.dev.
Gemini 3.1 Flash-Lite API cost calculator.
Live calculator pre-loaded with current Gemini 3.1 Flash-Lite standard rates. Standard text, image, and video input is $0.25/M; audio input is $0.50/M; output includes thinking tokens.
Gemini 3.1 Flash-Lite cost on real workloads.
Coding agent iteration
Document pack analysis
Video + docs briefing
Research agent loop
Large RAG synthesis
This is a chars-per-token approximation, not a real tokenizer. Actual tokens vary by language, code density, and tool-call overhead — counts are typically ±10–20% off for English prose, more for code or non-Latin scripts. For exact billing, use the vendor's official tokenizer.
| Model | Input /M | Output /M | Effective blended | Context | Best for |
|---|---|---|---|---|---|
| Gemini 3.1 Pro Preview | $2.00 cache $0.20 | $12.00 | $1.44 +8.0× | 1M | Google frontier preview |
| Gemini 3 Flash Preview | $0.50 cache $0.05 | $3.00 | $0.361 +2.0× | 1M | Cheaper Gemini 3 preview |
| Gemini 3.1 Flash-Lite Current | $0.25 cache $0.025 | $1.50 | $0.18 agentic 92/8 | 1M | High-volume Gemini 3.1 |
| Gemini 2.5 Pro | $1.25 cache $0.125 | $10.00 | $1.10 deprecated · +6.1× | 1M | Stable Gemini 2.5 Pro |
| Gemini 2.5 Flash | $0.30 cache $0.03 | $2.50 | $0.272 deprecated · +51% | 1M | Best price-performance Gemini 2.5 |
| Gemini 2.5 Flash-Lite | $0.10 cache $0.01 | $0.40 | $0.0561 legacy · −3.2× | 1M | Cheapest stable Gemini 2.5 |
| GPT-6.1 Sol | $2.00 cache $0.10 | $10.00 | $1.29 +7.2× | 1.05M | OpenAI's balanced model for coding and agents |
| GPT-6.1 Terra | $1.00 cache $0.05 | $5.00 | $0.645 +3.6× | 1.05M | OpenAI's fast, efficient GPT-6 tier |
Gemini 3.1 Flash-Lite has published scores on 6 benchmarks we track; its best placing is #9 of 9 on CharXiv Reasoning. All of them are the lab's own reports; each row links to the page that published it.
| Benchmark | Score | Rank | Leader | Source |
|---|---|---|---|---|
| CharXiv Reasoning Vision and documents · No tools | 73.2% no tools | #9 of 9 | Kimi K3.1 Pro · 89% | Vendor-reported Google DeepMind |
| MLE-bench AI research | 22% as reported | #5 of 5 | Gemini 3.6 Flash · 63.9% | Vendor-reported Google DeepMind |
| MRCR v2 Long context · 8-needle, up to 128K | 60.1% 128K average | #7 of 7 | Gemini 3.7 Flash · 97% | Vendor-reported Google DeepMind |
| OSWorld-Verified Agents and computer use | 54.3% as reported | #8 of 8 | Kimi K3 · 84.8% | Vendor-reported Google DeepMind |
| SWE-Bench Pro Coding · Public set (731 tasks) | 38.3% public set | #6 of 6 | Gemini 3.6 Flash · 58.7% | Vendor-reported Google DeepMind |
| Terminal-Bench 2 Agents and computer use · Terminal-Bench 2.1 | 31% Terminus-2 harness | #17 of 17 | DeepSeek V4.1 Flash · 90.6% | Vendor-reported Google DeepMind |
Gemini 3.1 Flash-Lite API pricing FAQ.
Practical Gemini 3.1 Flash-Lite pricing questions, with Google token rates separated from workload assumptions.
Q · 01 What is Gemini 3.1 Flash-Lite's standard API price? +
gemini-3.1-flash-lite at $0.25/M input, $0.025/M cached input, and $1.50/M output for text, image, and video workloads. Audio input is listed separately at $0.50/M.Q · 02 Does output pricing include thinking tokens? +
Output price (including thinking tokens). This page treats generated reasoning and answer tokens as part of the published output rate.Q · 03 How much do Batch and Flex cost? +
Q · 04 Is this a preview model? +
gemini-3.1-flash-lite-preview, shut down on May 25, 2026. The stable model is itself scheduled to shut down on May 7, 2027, and Google names Gemini 3.5 Flash-Lite as its replacement.Q · 05 What about Google Search grounding costs? +
$14 / 1,000 search queries. Tool charges are separate from token prices.Q · 06 How accurate is the tokenizer estimate? +
4.0 characters per token as a Gemini planning estimate. Exact billing can differ by language, media inputs, tool calls, and how Google tokenizes multimodal content.