NOUMENOpen app
NOUMEN

Google · Balanced

Gemini 2.0 Pro 0205

Added Feb 5, 2025

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
$1.99
Output
$7.96
Cache read
$0.50

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 0205 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 0205GoogleThis modelGemma 4 12B Starry OceanGoogleRemove
ProviderGoogleGoogle
Discovery tierBalancedOpen weights
AddedFeb 5, 2025Oct 15, 2026
Limits
Context window2.1MBest131.07K
Max output8.19K—
Pricing, USD per 1M tokens
Input$1.99$0.05Best
Output$7.96$0.25Best
Cache read$0.50$0.025Best
Performance
Request success (24h)—99.4%
Benchmark indexes
Intelligence Index8.7—
Coding Index25.5—
Capabilities
ReasoningNoYes
ToolsNoYes
VisionYesYes
Audio inputYesNo
Reasoning effort—none, high

Public evaluations

Benchmarks

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

  • Gemini 2.0 Pro 0205
  • Gemma 4 12B Starry Ocean

Intelligence Index

  • Gemini 2.0 Pro 02058.7
  • Gemma 4 12B Starry Ocean—

Gemini 2.0 Pro 0205: Better than 15% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Gemini 2.0 Pro 0205: 25.5
    • Gemma 4 12B Starry Ocean: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Gemini 2.0 Pro 0205: 6.2%
    • Gemma 4 12B Starry Ocean: —

  • GPQA Diamond

    Graduate-level science questions

    • Gemini 2.0 Pro 0205: 62.2%
    • Gemma 4 12B Starry Ocean: —

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Gemini 2.0 Pro 0205: 80.5%
    • Gemma 4 12B Starry Ocean: —

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Gemini 2.0 Pro 0205: 34.7%
    • Gemma 4 12B Starry Ocean: —

Math

  • AIME

    Competition mathematics

    • Gemini 2.0 Pro 0205: 36.0%
    • Gemma 4 12B Starry Ocean: —

  • MATH-500

    Competition math problems

    • Gemini 2.0 Pro 0205: 92.3%
    • Gemma 4 12B Starry Ocean: —

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.

Prompt cache hits
82.0%
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-2.0-pro-exp-02-05",
    "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-2.0-pro-exp-02-05",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Google

Other Google models, starting with the same family.