Google · Balanced
Gemini 2.0 Pro 0205
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
Compare models
Put Gemini 2.0 Pro 0205 next to up to three other models. The comparison stays in the link, so you can share it.
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
8.7
Better than 15% of 326 scored models
Indexes
Coding Index
25.5Composite of the coding evaluations
Better than 17% of 168 scored models
Reasoning and knowledge
Humanity’s Last Exam
6.2%Expert-level questions across academic fields
Better than 21% of 323 scored models
GPQA Diamond
62.2%Graduate-level science questions
Better than 19% of 291 scored models
MMLU-Pro
80.5%Multi-subject knowledge and reasoning
Better than 51% of 132 scored models
Coding
LiveCodeBench
34.7%Recent competitive programming problems
Better than 26% of 129 scored models
Math
AIME
36.0%Competition mathematics
Better than 45% of 72 scored models
MATH-500
92.3%Competition math problems
Better than 52% of 73 scored models
Scores from Artificial Analysis, updated Oct 26, 2026.
- #5Vision Style Control · Creative Writing1262.4
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
- #12SWE-bench Verified57.6%
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
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
- 80.1%
- About $0.79 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-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)Related models
Other Google models, starting with the same family.