Google · Efficient
Gemini 2.5 Flash Lite
Ultra-lightweight and fast variant of Gemini 2.5 Flash. Stable release optimized for speed and efficiency. Audio input costs $0.30 per million audio tokens.
- Reasoning
- Tools
- Vision
- Audio input
- Video input
- Input
- Text, Images, Video, Audio
- Output
- Text
- Reasoning effort
- low · medium · high
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.10
- Output
- $0.40
- Cache read
- $0.01
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 65.5K
- Average output (7 days)
- 42 tokens
- Longer than 3% of 465 models
Side by side
Gemini 2.5 Flash Lite compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Gemini 2.5 Flash LiteGoogleThis model | GLM 4.5VZ.aiRemove | |
|---|---|---|
| Provider | Z.ai | |
| Discovery tier | Efficient | Open weights |
| Added | Jun 17, 2025 | Nov 22, 2025 |
| Limits | ||
| Context window | 1.05MBest | 65.54K |
| Max output | 65.54KBest | 16.38K |
| Average output | 42 tokens | 732 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.10Best | $0.60 |
| Output | $0.40Best | $1.80 |
| Cache read | $0.01 | — |
| Performance | ||
| Throughput | 250.0 tok/s | — |
| Time to first token | 0.5 s | — |
| Request success (24h) | 99.5% | — |
| Benchmark indexes | ||
| Intelligence Index | 6.7 | 6.7 |
| Math Index | 35.3Best | 15.3 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | No |
| Vision | Yes | Yes |
| Audio input | Yes | No |
| Video 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
- GLM 4.5V
Intelligence Index
- Gemini 2.5 Flash Lite6.7
- GLM 4.5V6.7
Gemini 2.5 Flash Lite: Better than 6% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- Gemini 2.5 Flash Lite: 35.3Top
- GLM 4.5V: 15.3
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Gemini 2.5 Flash Lite: 32.0%Top
- GLM 4.5V: 0.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Gemini 2.5 Flash Lite: 3.7%Top
- GLM 4.5V: 3.5%
GPQA Diamond
Graduate-level science questions
- Gemini 2.5 Flash Lite: 47.4%
- GLM 4.5V: 57.3%Top
MMLU-Pro
Multi-subject knowledge and reasoning
- Gemini 2.5 Flash Lite: 72.4%
- GLM 4.5V: 75.1%Top
IFBench
Following precise output instructions
- Gemini 2.5 Flash Lite: 31.5%Top
- GLM 4.5V: 28.6%
Coding
LiveCodeBench
Recent competitive programming problems
- Gemini 2.5 Flash Lite: 40.0%Top
- GLM 4.5V: 35.2%
Math
AIME 2025
Competition mathematics, 2025 problems
- Gemini 2.5 Flash Lite: 35.3%Top
- GLM 4.5V: 15.3%
AIME
Competition mathematics
- Gemini 2.5 Flash Lite: 50.0%
- GLM 4.5V: —
MATH-500
Competition math problems
- Gemini 2.5 Flash Lite: 92.6%
- GLM 4.5V: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Gemini 2.5 Flash Lite: 2.3%
- GLM 4.5V: 6.8%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- Gemini 2.5 Flash Lite: 19.0%
- GLM 4.5V: 19.6%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Gemini 2.5 Flash Lite: 32.0%Top
- GLM 4.5V: 0.0%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- Gemini 2.5 Flash Lite
- GLM 4.5V
| Leaderboard | Gemini 2.5 Flash Lite | GLM 4.5V |
|---|---|---|
| Vision Style Control · Captioning | #15 · 1182.4 | Not in top 20 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
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.
- Throughput
- 250.0 tok/s
- Faster than 90% of 250 models
- Time to first token
- 0.5 s
- Quickest of 250 models
- Prompt cache hits
- 0.0%
- About $0.10 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",
"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",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Related models
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