Google · Efficient
Gemini 3 Flash (Preview)
Google's Gemini 3 Flash preview model optimized for speed while maintaining high capability. Features sub-second response times with strong multimodal understanding and reasoning. Audio input costs $1.00 per million audio tokens.
- Reasoning
- Tools
- Vision
- Structured output
- Audio input
- Video input
- Input
- Text, Images, Video, Audio
- Output
- Text
- Reasoning effort
- minimal · low · medium · high
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.50
- Output
- $3.00
- Cache read
- $0.05
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 65.5K
- Average output (7 days)
- 592 tokens
- Longer than 54% of 465 models
Side by side
Gemini 3 Flash (Preview) compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Gemini 3 Flash (Preview)GoogleThis model | GLM 4.7Z.aiRemove | |
|---|---|---|
| Provider | Z.ai | |
| Discovery tier | Efficient | Open weights |
| Added | Dec 17, 2025 | Dec 22, 2025 |
| Limits | ||
| Context window | 1.05MBest | 200K |
| Max output | 65.54KBest | 65.54K |
| Average output | 592 tokens | 539 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.50 | $0.40Best |
| Output | $3.00 | $1.93Best |
| Cache read | $0.05Best | $0.0801 |
| Performance | ||
| Throughput | 211.2 tok/sBest | 74.0 tok/s |
| Time to first token | 1.3 sBest | 2.4 s |
| Request success (24h) | 99.8% | 99.8% |
| Benchmark indexes | ||
| Intelligence Index | 17.9Best | 17.4 |
| Math Index | 55.7Best | 48.0 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | No |
| Structured output | Yes | Yes |
| Audio input | Yes | No |
| Video input | Yes | No |
| Reasoning effort | minimal, low, medium, high | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Gemini 3 Flash (Preview)
- GLM 4.7
Intelligence Index
- Gemini 3 Flash (Preview)17.9
- GLM 4.717.4
Gemini 3 Flash (Preview): Better than 47% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- Gemini 3 Flash (Preview): 55.7Top
- GLM 4.7: 48.0
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Gemini 3 Flash (Preview): 55.3%Top
- GLM 4.7: 40.7%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Gemini 3 Flash (Preview): 15.0%Top
- GLM 4.7: 6.4%
GPQA Diamond
Graduate-level science questions
- Gemini 3 Flash (Preview): 81.2%Top
- GLM 4.7: 66.4%
MMLU-Pro
Multi-subject knowledge and reasoning
- Gemini 3 Flash (Preview): 88.2%Top
- GLM 4.7: 79.4%
IFBench
Following precise output instructions
- Gemini 3 Flash (Preview): 55.1%Top
- GLM 4.7: 54.6%
Coding
LiveCodeBench
Recent competitive programming problems
- Gemini 3 Flash (Preview): 79.7%Top
- GLM 4.7: 56.2%
Math
AIME 2025
Competition mathematics, 2025 problems
- Gemini 3 Flash (Preview): 55.7%Top
- GLM 4.7: 48.0%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Gemini 3 Flash (Preview): 31.8%Top
- GLM 4.7: 30.3%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Gemini 3 Flash (Preview): 43.3%
- GLM 4.7: 94.2%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Gemini 3 Flash (Preview): 55.3%Top
- GLM 4.7: 40.7%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- Gemini 3 Flash (Preview)
- GLM 4.7
| Leaderboard | Gemini 3 Flash (Preview) | GLM 4.7 |
|---|---|---|
| German | #10 · 1499.1 | Not in top 20 |
| Japanese | #13 · 1488.7 | Not in top 20 |
| Polish | #10 · 1496.6 | Not in top 20 |
| Spanish | #17 · 1478.0 | Not in top 20 |
| Vision Style Control · Creative Writing | #2 · 1289.1 | Not in top 20 |
| Vision Style Control · Captioning | #6 · 1233.8 | Not in top 20 |
| Vision Style Control · Creative Writing Vision | #6 · 1296.1 | Not in top 20 |
| Vision Style Control · Entity Recognition | #1 · 1290.0 | Not in top 20 |
| Vision Style Control · Humor | #14 · 1268.8 | Not in top 20 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
- Gemini 3 Flash (Preview)
- GLM 4.7
| Leaderboard | Gemini 3 Flash (Preview) | GLM 4.7 |
|---|---|---|
| FrontierMath v2 (Tiers 1–3) | #11 · 51.2% | Not in top 20 |
| SWE-bench Verified | #7 · 75.4% | Not in top 20 |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
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
- 211.2 tok/s
- Faster than 84% of 250 models
- Time to first token
- 1.3 s
- Quicker than 91% of 250 models
- Prompt cache hits
- 0.0%
- About $0.50 per 1M input tokens with caching
- Request success (24h)
- 99.8%
- 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": "google/gemini-3-flash-preview",
"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="google/gemini-3-flash-preview",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Related models
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