NOUMENOpen app
NOUMEN

Google · Balanced

Gemini 2.0 Pro 1206

Added Dec 6, 2024

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

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.

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Gemini 2.0 Pro 1206GoogleThis modelMuse Spark 1.1MetaRemove
ProviderGoogleMeta
Discovery tierBalancedBalanced
AddedDec 6, 2024Jul 9, 2026
Limits
Context window2.1MBest1M
Max output8.19K65.54KBest
Average output—460 tokens
Pricing, USD per 1M tokens
Input$1.26$1.25Best
Output$5.00$4.25Best
Cache read$0.63$0.15Best
Benchmark indexes
Intelligence Index—33.7
Coding Index—71.3
Capabilities
ReasoningNoYes
VisionYesYes
Audio inputYesYes
Video inputNoYes
Reasoning effort—minimal, low, medium, high, xhigh

Public evaluations

Benchmarks

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

  • Gemini 2.0 Pro 1206
  • Muse Spark 1.1

Intelligence Index

  • Gemini 2.0 Pro 1206—
  • Muse Spark 1.133.7
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 71.3

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 38.8%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 13.7%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 850 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 1,211 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 14.4%

  • AA-LCRv1.1

    Reasoning across long documents

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 77.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 7.2%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 46.2%

  • GPQA Diamond

    Graduate-level science questions

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 89.8%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 6.1%

  • SciCode

    Scientific computing in Python

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 58.8%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Gemini 2.0 Pro 1206: —
    • Muse Spark 1.1: 77.7%

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
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.

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.