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 | GPT 5.1 CodexOpenAIRemove | |
|---|---|---|
| Provider | OpenAI | |
| Discovery tier | Balanced | Balanced |
| Added | Dec 6, 2024 | Nov 13, 2025 |
| Limits | ||
| Context window | 2.1MBest | 400K |
| Max output | 8.19K | 128KBest |
| Average output | — | 22 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.26 | $1.25Best |
| Output | $5.00Best | $10.00 |
| Cache read | $0.63 | $0.13Best |
| Benchmark indexes | ||
| Intelligence Index | — | 23.7 |
| Math Index | — | 95.7 |
| Capabilities | ||
| Reasoning | No | Yes |
| Vision | Yes | Yes |
| Audio input | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Gemini 2.0 Pro 1206
- GPT 5.1 Codex
Intelligence Index
- Gemini 2.0 Pro 1206—
- GPT 5.1 Codex23.7
Indexes
Math Index
Composite of the math evaluations
- Gemini 2.0 Pro 1206: —
- GPT 5.1 Codex: 95.7
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Gemini 2.0 Pro 1206: —
- GPT 5.1 Codex: 69.3%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Gemini 2.0 Pro 1206: —
- GPT 5.1 Codex: 25.7%
GPQA Diamond
Graduate-level science questions
- Gemini 2.0 Pro 1206: —
- GPT 5.1 Codex: 86.0%
MMLU-Pro
Multi-subject knowledge and reasoning
- Gemini 2.0 Pro 1206: —
- GPT 5.1 Codex: 86.0%
IFBench
Following precise output instructions
- Gemini 2.0 Pro 1206: —
- GPT 5.1 Codex: 70.0%
Coding
LiveCodeBench
Recent competitive programming problems
- Gemini 2.0 Pro 1206: —
- GPT 5.1 Codex: 84.9%
Math
AIME 2025
Competition mathematics, 2025 problems
- Gemini 2.0 Pro 1206: —
- GPT 5.1 Codex: 95.7%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Gemini 2.0 Pro 1206: —
- GPT 5.1 Codex: 34.8%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Gemini 2.0 Pro 1206: —
- GPT 5.1 Codex: 83.0%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Gemini 2.0 Pro 1206: —
- GPT 5.1 Codex: 69.3%
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.
- Prompt cache hits
- 79.6%
- About $0.76 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.
