Google · Efficient
Gemini 2.5 Flash Preview (09/2025) – Thinking
Same checkpoint with thinking enabled by default for deeper reasoning and stepwise analysis on complex tasks. Routed to Gemini 2.5 Flash Thinking (stable).
- Reasoning
- Tools
- Vision
- Structured output
- PDF input
- Audio input
- Input
- Text, Images, Audio
- Output
- Text
- Reasoning effort
- low · medium · high
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.30
- Output
- $2.50
- Cache read
- $0.03
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 Preview (09/2025) – Thinking compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Gemini 2.5 Flash Preview (09/2025) – ThinkingGoogleThis model | OpenAI o1OpenAIRemove | |
|---|---|---|
| Provider | OpenAI | |
| Discovery tier | Efficient | Balanced |
| Added | Sep 25, 2025 | Jan 1, 2024 |
| Limits | ||
| Context window | 1.05MBest | 200K |
| Max output | 65.54K | 100KBest |
| Average output | — | 28 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.30Best | $15.00 |
| Output | $2.50Best | $60.00 |
| Cache read | $0.03Best | $7.50 |
| Performance | ||
| Request success (24h) | 99.3% | — |
| Benchmark indexes | ||
| Intelligence Index | 15.5Best | 15.2 |
| Coding Index | — | 39.7 |
| Math Index | 78.3 | — |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | No |
| Vision | Yes | No |
| Structured output | Yes | No |
| PDF input | Yes | No |
| Audio input | Yes | No |
| Reasoning effort | low, medium, high | 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 Preview (09/2025) – Thinking
- OpenAI o1
Intelligence Index
- Gemini 2.5 Flash Preview (09/2025) – Thinking15.5
- OpenAI o115.2
Gemini 2.5 Flash Preview (09/2025) – Thinking: Better than 39% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Gemini 2.5 Flash Preview (09/2025) – Thinking: —
- OpenAI o1: 39.7
Math Index
Composite of the math evaluations
- Gemini 2.5 Flash Preview (09/2025) – Thinking: 78.3
- OpenAI o1: —
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Gemini 2.5 Flash Preview (09/2025) – Thinking: 71.0%Top
- OpenAI o1: 65.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Gemini 2.5 Flash Preview (09/2025) – Thinking: 13.8%Top
- OpenAI o1: 7.0%
GPQA Diamond
Graduate-level science questions
- Gemini 2.5 Flash Preview (09/2025) – Thinking: 79.3%Top
- OpenAI o1: 74.7%
MMLU-Pro
Multi-subject knowledge and reasoning
- Gemini 2.5 Flash Preview (09/2025) – Thinking: 84.2%Top
- OpenAI o1: 84.1%
IFBench
Following precise output instructions
- Gemini 2.5 Flash Preview (09/2025) – Thinking: 52.3%
- OpenAI o1: 70.3%Top
Coding
LiveCodeBench
Recent competitive programming problems
- Gemini 2.5 Flash Preview (09/2025) – Thinking: 71.3%Top
- OpenAI o1: 67.9%
Math
AIME 2025
Competition mathematics, 2025 problems
- Gemini 2.5 Flash Preview (09/2025) – Thinking: 78.3%
- OpenAI o1: —
AIME
Competition mathematics
- Gemini 2.5 Flash Preview (09/2025) – Thinking: —
- OpenAI o1: 72.3%
MATH-500
Competition math problems
- Gemini 2.5 Flash Preview (09/2025) – Thinking: —
- OpenAI o1: 97.0%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Gemini 2.5 Flash Preview (09/2025) – Thinking: 16.7%Top
- OpenAI o1: 12.9%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Gemini 2.5 Flash Preview (09/2025) – Thinking: 45.6%
- OpenAI o1: 62.6%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Gemini 2.5 Flash Preview (09/2025) – Thinking: 71.0%Top
- OpenAI o1: 65.0%
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.
- Request success (24h)
- 99.3%
- Reliable
- 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-preview-09-2025-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="gemini-2.5-flash-preview-09-2025-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.