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Google · Balanced

Gemini 2.0 Pro 0205

Added Feb 5, 2025

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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
$1.99
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.

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Gemini 2.0 Pro 0205GoogleThis modelAmazon Nova 2 LiteamazonRemove
ProviderGoogleamazon
Discovery tierBalancedEfficient
AddedFeb 5, 2025Jan 1, 2024
Limits
Context window2.1MBest1M
Max output8.19K65.54KBest
Pricing, USD per 1M tokens
Input$1.99$0.51Best
Output$7.96$4.25Best
Cache read$0.50—
Benchmark indexes
Intelligence Index8.78.7
Coding Index25.5—
Math Index—33.7
Capabilities
VisionYesNo
Audio inputYesNo
Reasoning effort——

Public evaluations

Benchmarks

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

  • Gemini 2.0 Pro 0205
  • Amazon Nova 2 Lite

Intelligence Index

  • Gemini 2.0 Pro 02058.7
  • Amazon Nova 2 Lite8.7

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
    • Amazon Nova 2 Lite: —

  • Math Index

    Composite of the math evaluations

    • Gemini 2.0 Pro 0205: —
    • Amazon Nova 2 Lite: 33.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Gemini 2.0 Pro 0205: —
    • Amazon Nova 2 Lite: 18.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Gemini 2.0 Pro 0205: 6.2%Top
    • Amazon Nova 2 Lite: 2.9%

  • GPQA Diamond

    Graduate-level science questions

    • Gemini 2.0 Pro 0205: 62.2%Top
    • Amazon Nova 2 Lite: 60.3%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Gemini 2.0 Pro 0205: 80.5%Top
    • Amazon Nova 2 Lite: 74.3%

  • IFBench

    Following precise output instructions

    • Gemini 2.0 Pro 0205: —
    • Amazon Nova 2 Lite: 40.5%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Gemini 2.0 Pro 0205: 34.7%Top
    • Amazon Nova 2 Lite: 34.6%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Gemini 2.0 Pro 0205: —
    • Amazon Nova 2 Lite: 33.7%

  • AIME

    Competition mathematics

    • Gemini 2.0 Pro 0205: 36.0%
    • Amazon Nova 2 Lite: —

  • MATH-500

    Competition math problems

    • Gemini 2.0 Pro 0205: 92.3%
    • Amazon Nova 2 Lite: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Gemini 2.0 Pro 0205: —
    • Amazon Nova 2 Lite: 6.8%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Gemini 2.0 Pro 0205: —
    • Amazon Nova 2 Lite: 62.0%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Gemini 2.0 Pro 0205: —
    • Amazon Nova 2 Lite: 18.7%

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 $0.80 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.