Model Library
GoogleReleased June 17, 2025Gemini 2.5 Flash-Lite
Google · Released June 17, 2025
Intelligence score
7
At a glance
- Intelligence
- 7
- Speed
- 264.1tokens/sec
- Latency
- 320mstime to first token
- Input price
- $0.10per 1M tokens
- Output price
- $0.40per 1M tokens
- Context window
- 3tokens
- Parameters
- —
Summary
Comparison summary
Gemini 2.5 Flash-Lite (Non-reasoning) scores 7 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other non-reasoning models in a similar price tier (median: 11). Gemini 2.5 Flash-Lite (Non-reasoning) generates output at 264.1 tokens per second (based on Google's API), which is well above average compared to other non-reasoning models in a similar price tier (median: 96.0 t/s). Gemini 2.5 Flash-Lite (Non-reasoning) costs $0.10 per 1M input tokens (very competitive, median: $0.20) and $0.40 per 1M output tokens (very competitive, median: $0.70), based on Google's API.
Specifications
Technical specifications
| Model name | Gemini 2.5 Flash-Lite |
|---|---|
| Provider | |
| Release date | June 17, 2025 |
| Intelligence score | 7 |
| Speed | 264.1 tokens/sec |
| Latency (TTFT) | 0.32s |
| Input price | $0.10 / 1M tokens |
| Output price | $0.40 / 1M tokens |
| Context window | 3 tokens |
| Parameters | — |
| Reasoning | No |
| Input modalities | text, image, audio, video |
| Output modalities | — |
| Open weights | No |
| License | — |
| API availability | — |
| Source | Model Intelligence legacy profile: gemini-2-5-flash-lite |
Pricing
Token prices
Price per 1M tokens
Gemini 2.5 Flash-Lite, as listed in the catalog record
- Input$0.10
- Output$0.40
| Token type | Price per 1M |
|---|---|
| Input | $0.10 |
| Output | $0.40 |
Model Intelligence legacy profile: gemini-2-5-flash-lite
FAQ · 19
Frequently asked questions
Gemini 2.5 Flash-Lite (Non-reasoning) was released on June 17, 2025.
Gemini 2.5 Flash-Lite (Non-reasoning) was created by Google.
Gemini 2.5 Flash-Lite (Non-reasoning) scores 7 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other non-reasoning models in a similar price tier (median: 11).
Gemini 2.5 Flash-Lite (Non-reasoning) generates output at 264.1 tokens per second (based on Google's API), which is well above average compared to other non-reasoning models in a similar price tier (median: 96.0 t/s).
Gemini 2.5 Flash-Lite (Non-reasoning) has a time to first token (TTFT) of 0.32s (based on Google's API), which is very competitive compared to other non-reasoning models in a similar price tier (median: 1.51s).
Gemini 2.5 Flash-Lite (Non-reasoning) costs $0.10 per 1M input tokens (very competitive, median: $0.20) and $0.40 per 1M output tokens (very competitive, median: $0.70), based on Google's API.
Gemini 2.5 Flash-Lite (Non-reasoning) costs $0.10 per 1M input tokens and $0.40 per 1M output tokens (based on Google's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.07 per 1M tokens. Pricing may vary by provider.
No, Gemini 2.5 Flash-Lite (Non-reasoning) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Gemini 2.5 Flash-Lite (Non-reasoning) supports text, image, speech, and video input.
Gemini 2.5 Flash-Lite (Non-reasoning) supports text output.
Yes, Gemini 2.5 Flash-Lite (Non-reasoning) supports image input and can analyze, describe, and answer questions about images.
Yes, Gemini 2.5 Flash-Lite (Non-reasoning) is multimodal. It can process text, image, speech, and video input and generate text output.
Gemini 2.5 Flash-Lite (Non-reasoning) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
No, Gemini 2.5 Flash-Lite (Non-reasoning) is proprietary. The model weights are not publicly available.
Gemini 2.5 Flash-Lite (Non-reasoning) is a proprietary model and Google has not disclosed the model size or parameter count.
Gemini 2.5 Flash-Lite (Non-reasoning) achieves a score of 7 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Gemini 2.5 Flash-Lite (Non-reasoning) has a knowledge cutoff of January 2025. The model's training data includes information up to this date.
Yes, Gemini 2.5 Flash-Lite (Non-reasoning) is available via API through 1 provider.
Gemini 2.5 Flash-Lite (Non-reasoning) is available through 1 API provider.