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Google · Efficient

Gemini 2.5 Flash 0520 Thinking

Added May 20, 2025

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Use in the app

Deprecated. Mapped to Gemini 2.5 Flash because this model is deprecated

  • Reasoning
  • Vision
Input
Text, Images
Output
Text
Reasoning effort
low · medium · high
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.15
Output
$3.50
Cache read
$0.015

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
65.5K

Side by side

Gemini 2.5 Flash 0520 Thinking compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Gemini 2.5 Flash 0520 ThinkingGoogleThis modelDeepSeek R1 0528DeepSeekRemove
ProviderGoogleDeepSeek
Discovery tierEfficientOpen weights
AddedMay 20, 2025May 28, 2025
Limits
Context window1.05MBest163.84K
Max output65.54KBest32.77K
Average output—1K tokens
Pricing, USD per 1M tokens
Input$0.15Best$0.50
Output$3.50$2.15Best
Cache read$0.015Best$0.35
Performance
Throughput—39.3 tok/s
Time to first token—1.3 s
Request success (24h)99.3%99.9%Best
Benchmark indexes
Intelligence Index13.113.1
Math Index73.376.0Best
Capabilities
ReasoningYesYes
ToolsNoYes
VisionYesNo
Reasoning effortlow, medium, high—

Public evaluations

Benchmarks

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

  • Gemini 2.5 Flash 0520 Thinking
  • DeepSeek R1 0528

Intelligence Index

  • Gemini 2.5 Flash 0520 Thinking13.1
  • DeepSeek R1 052813.1

Gemini 2.5 Flash 0520 Thinking: Better than 32% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Gemini 2.5 Flash 0520 Thinking: 73.3
    • DeepSeek R1 0528: 76.0Top

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Gemini 2.5 Flash 0520 Thinking: 65.3%Top
    • DeepSeek R1 0528: 55.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Gemini 2.5 Flash 0520 Thinking: 12.1%
    • DeepSeek R1 0528: 15.8%Top

  • GPQA Diamond

    Graduate-level science questions

    • Gemini 2.5 Flash 0520 Thinking: 79.0%
    • DeepSeek R1 0528: 81.3%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Gemini 2.5 Flash 0520 Thinking: 83.2%
    • DeepSeek R1 0528: 84.9%Top

  • IFBench

    Following precise output instructions

    • Gemini 2.5 Flash 0520 Thinking: 50.3%Top
    • DeepSeek R1 0528: 39.6%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Gemini 2.5 Flash 0520 Thinking: 69.5%
    • DeepSeek R1 0528: 77.0%Top

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Gemini 2.5 Flash 0520 Thinking: 73.3%
    • DeepSeek R1 0528: 76.0%Top

  • AIME

    Competition mathematics

    • Gemini 2.5 Flash 0520 Thinking: 82.3%
    • DeepSeek R1 0528: 89.3%Top

  • MATH-500

    Competition math problems

    • Gemini 2.5 Flash 0520 Thinking: 98.1%
    • DeepSeek R1 0528: 98.3%Top

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Gemini 2.5 Flash 0520 Thinking: 13.6%
    • DeepSeek R1 0528: 15.9%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Gemini 2.5 Flash 0520 Thinking: 31.6%
    • DeepSeek R1 0528: 36.5%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Gemini 2.5 Flash 0520 Thinking: 65.3%Top
    • DeepSeek R1 0528: 55.7%

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.

Request success (24h)
99.3%
Reliable
Hourly request success · last 72 hoursLowest hour 99.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

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-2.5-flash-preview-05-20:thinking",
    "reasoning_effort": "medium",
    "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-2.5-flash-preview-05-20:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Google

Other Google models, starting with the same family.