Google · Efficient
Gemini 3 Flash Thinking
Google's Gemini 3 Flash preview model with thinking mode enabled for enhanced reasoning and chain-of-thought capabilities. Audio input costs $1.00 per million audio tokens.
- Reasoning
- Vision
- 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)
- 1.7K tokens
- Longer than 89% of 465 models
Side by side
Compare models
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Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
26.3
Better than 66% of 326 scored models
Indexes
Math Index
97.0Composite of the math evaluations
Highest of 118 scored models
Document reasoning
AA-LCRv1.1
78.0%Reasoning across long documents
Better than 65% of 309 scored models
Reasoning and knowledge
Humanity’s Last Exam
36.6%Expert-level questions across academic fields
Better than 70% of 323 scored models
GPQA Diamond
89.8%Graduate-level science questions
Better than 78% of 291 scored models
MMLU-Pro
89.0%Multi-subject knowledge and reasoning
Highest of 132 scored models
IFBench
78.0%Following precise output instructions
Better than 96% of 215 scored models
Coding
LiveCodeBench
90.8%Recent competitive programming problems
Highest of 129 scored models
Math
AIME 2025
97.0%Competition mathematics, 2025 problems
Highest of 118 scored models
Legacy evaluations
Terminal-Bench Hard
38.6%Earlier terminal task suite
Better than 75% of 212 scored models
τ²-Bench Telecom
80.4%Tool use in a customer-support simulation
Better than 61% of 214 scored models
AA-LCR (unversioned)
78.0%Long-context reasoning, earlier grading
Better than 65% of 309 scored models
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.
- Throughput
- 142.6 tok/s
- Faster than 74% of 250 models
- Time to first token
- 8.4 s
- Quicker than 15% of 250 models
- Prompt cache hits
- 13.5%
- About $0.44 per 1M input tokens with caching
- Request success (24h)
- 100.0%
- 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-thinking",
"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-thinking",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Related models
Other Google models, starting with the same family.