Google · Balanced
Gemini 3 Pro Image
Gemini 3 Pro with native image generation support. Can generate images inline from text prompts.
- Vision
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $2.00
- Output
- $12.00
- Cache read
- $0.20
Reference prices as published by the model provider. API example
Specifications
- Context window
- 65.5K
- Max output
- 32.8K
Side by side
Gemini 3 Pro Image compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Gemini 3 Pro ImageGoogleThis model | Mistral Large 2411MistralRemove | |
|---|---|---|
| Provider | Mistral | |
| Discovery tier | Balanced | Balanced |
| Added | Nov 18, 2025 | Jan 1, 2024 |
| Limits | ||
| Context window | 65.54K | 128KBest |
| Max output | 32.77K | 102.4KBest |
| Average output | — | 955 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.00Best | $2.01 |
| Output | $12.00 | $6.00Best |
| Cache read | $0.20 | $0.20 |
| Performance | ||
| Request success (24h) | 100.0% | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | — | 5.8 |
| Capabilities | ||
| Vision | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Gemini 3 Pro Image
- Mistral Large 2411
Intelligence Index
- Gemini 3 Pro Image—
- Mistral Large 24115.8
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Gemini 3 Pro Image: —
- Mistral Large 2411: 3.5%
GPQA Diamond
Graduate-level science questions
- Gemini 3 Pro Image: —
- Mistral Large 2411: 35.1%
MMLU-Pro
Multi-subject knowledge and reasoning
- Gemini 3 Pro Image: —
- Mistral Large 2411: 51.5%
Coding
LiveCodeBench
Recent competitive programming problems
- Gemini 3 Pro Image: —
- Mistral Large 2411: 17.8%
Math
AIME
Competition mathematics
- Gemini 3 Pro Image: —
- Mistral Large 2411: 0.0%
MATH-500
Competition math problems
- Gemini 3 Pro Image: —
- Mistral Large 2411: 52.7%
Scores from Artificial Analysis, updated Oct 26, 2026.
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)
- 100.0%
- 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-3-pro-image-preview",
"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-3-pro-image-preview",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Related models
Other Google models, starting with the same family.
