Google · Efficient
Gemini 2.5 Flash Lite Preview
Ultra-lightweight and fast variant of Gemini 2.5 Flash. Preview release optimized for speed and efficiency.
- Reasoning
- Vision
- Audio input
- Input
- Text, Images, Audio
- Output
- Text
- Reasoning effort
- low · medium · high
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.15
- Output
- $0.60
- Cache read
- $0.015
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 65.5K
Side by side
Gemini 2.5 Flash Lite Preview compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Gemini 2.5 Flash Lite PreviewGoogleThis model | Amazon Nova Lite 1.0amazonRemove | |
|---|---|---|
| Provider | amazon | |
| Discovery tier | Efficient | Efficient |
| Added | Jun 17, 2025 | Dec 3, 2024 |
| Limits | ||
| Context window | 1.05MBest | 300K |
| Max output | 65.54KBest | 5.12K |
| Average output | — | 44 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.15 | $0.0595Best |
| Output | $0.60 | $0.24Best |
| Cache read | $0.015 | — |
| Performance | ||
| Request success (24h) | 99.5% | — |
| Benchmark indexes | ||
| Intelligence Index | 6.7 | 6.7 |
| Math Index | 35.3Best | 7.0 |
| Capabilities | ||
| Reasoning | Yes | No |
| Vision | Yes | No |
| Audio input | Yes | No |
| Reasoning effort | low, medium, high | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Gemini 2.5 Flash Lite Preview
- Amazon Nova Lite 1.0
Intelligence Index
- Gemini 2.5 Flash Lite Preview6.7
- Amazon Nova Lite 1.06.7
Gemini 2.5 Flash Lite Preview: Better than 6% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- Gemini 2.5 Flash Lite Preview: 35.3Top
- Amazon Nova Lite 1.0: 7.0
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Gemini 2.5 Flash Lite Preview: 32.0%Top
- Amazon Nova Lite 1.0: 19.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Gemini 2.5 Flash Lite Preview: 3.7%
- Amazon Nova Lite 1.0: 4.3%Top
GPQA Diamond
Graduate-level science questions
- Gemini 2.5 Flash Lite Preview: 47.4%Top
- Amazon Nova Lite 1.0: 43.3%
MMLU-Pro
Multi-subject knowledge and reasoning
- Gemini 2.5 Flash Lite Preview: 72.4%Top
- Amazon Nova Lite 1.0: 59.0%
IFBench
Following precise output instructions
- Gemini 2.5 Flash Lite Preview: 31.5%
- Amazon Nova Lite 1.0: 34.1%Top
Coding
LiveCodeBench
Recent competitive programming problems
- Gemini 2.5 Flash Lite Preview: 40.0%Top
- Amazon Nova Lite 1.0: 16.7%
Math
AIME 2025
Competition mathematics, 2025 problems
- Gemini 2.5 Flash Lite Preview: 35.3%Top
- Amazon Nova Lite 1.0: 7.0%
AIME
Competition mathematics
- Gemini 2.5 Flash Lite Preview: 50.0%Top
- Amazon Nova Lite 1.0: 10.7%
MATH-500
Competition math problems
- Gemini 2.5 Flash Lite Preview: 92.6%Top
- Amazon Nova Lite 1.0: 76.5%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Gemini 2.5 Flash Lite Preview: 2.3%Top
- Amazon Nova Lite 1.0: 0.8%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Gemini 2.5 Flash Lite Preview: 19.0%Top
- Amazon Nova Lite 1.0: 17.5%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Gemini 2.5 Flash Lite Preview: 32.0%Top
- Amazon Nova Lite 1.0: 19.0%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Prompt cache hits
- 0.0%
- About $0.15 per 1M input tokens with caching
- Request success (24h)
- 99.5%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-2.5-flash-lite-preview-06-17",
"reasoning_effort": "medium",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="gemini-2.5-flash-lite-preview-06-17",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Related models
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