Google · Balanced
Gemini 2.0 Pro 1206
Note: This model is now being routed to Gemini 2.5 Pro because Google no longer has the Gemini 2.0 Pro model available and Gemini 2.5 Pro is an across the board improvement.
- Vision
- Audio input
- Input
- Text, Images, Audio
- Output
- Text
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $1.26
- Output
- $5.00
- Cache read
- $0.63
Reference prices as published by the model provider. API example
Specifications
- Context window
- 2.1M
- Max output
- 8.2K
Side by side
Gemini 2.0 Pro 1206 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Gemini 2.0 Pro 1206GoogleThis model | Gemma 4 12B Starry OceanGoogleRemove | |
|---|---|---|
| Provider | ||
| Discovery tier | Balanced | Open weights |
| Added | Dec 6, 2024 | Oct 15, 2026 |
| Limits | ||
| Context window | 2.1MBest | 131.07K |
| Max output | 8.19K | — |
| Pricing, USD per 1M tokens | ||
| Input | $1.26 | $0.05Best |
| Output | $5.00 | $0.25Best |
| Cache read | $0.63 | $0.025Best |
| Performance | ||
| Request success (24h) | — | 99.4% |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Vision | Yes | Yes |
| Audio input | Yes | No |
| Reasoning effort | — | none, high |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
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.
- Prompt cache hits
- 83.0%
- About $0.74 per 1M input tokens with caching
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.
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-exp-1206",
"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-exp-1206",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Related models
Other Google models, starting with the same family.