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Gemini 2.0 Pro 1206

Added Dec 6, 2024

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Use in the app

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.

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Gemini 2.0 Pro 1206GoogleThis modelDiffusionGemmaGoogleRemove
ProviderGoogleGoogle
Discovery tierBalancedOpen weights
AddedDec 6, 2024Sep 19, 2026
Limits
Context window2.1MBest262.14K
Max output8.19K32.77KBest
Average output—266 tokens
Pricing, USD per 1M tokens
Input$1.26$0.05Best
Output$5.00$0.15Best
Cache read$0.63$0.025Best
Benchmark indexes
Intelligence Index—9.5
Coding Index—19.7
Capabilities
ReasoningNoYes
VisionYesNo
Audio inputYesNo
Reasoning effort—none, xhigh

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Gemini 2.0 Pro 1206
  • DiffusionGemma

Intelligence Index

  • Gemini 2.0 Pro 1206—
  • DiffusionGemma9.5
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Gemini 2.0 Pro 1206: —
    • DiffusionGemma: 19.7

Agentic work

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Gemini 2.0 Pro 1206: —
    • DiffusionGemma: 321 Elo

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Gemini 2.0 Pro 1206: —
    • DiffusionGemma: 19.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Gemini 2.0 Pro 1206: —
    • DiffusionGemma: 10.8%

  • GPQA Diamond

    Graduate-level science questions

    • Gemini 2.0 Pro 1206: —
    • DiffusionGemma: 66.9%

  • IFBench

    Following precise output instructions

    • Gemini 2.0 Pro 1206: —
    • DiffusionGemma: 59.5%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Gemini 2.0 Pro 1206: —
    • DiffusionGemma: 19.7%

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
77.2%
About $0.77 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.

Read the quickstart
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)

Google

Other Google models, starting with the same family.