Qwen · Balanced

Qwen 2.5 Max

Added Oct 1, 2024

Use in the app

Qwen 2.5 Max is the upgraded version of Qwen Max, beating GPT-4o, Deepseek V3 and Claude 3.5 Sonnet in benchmarks.

Input: Text
Output: Text
Discovery tier: Balanced

Pricing

USD per 1M tokens

Input: $1.60
Output: $6.39

Reference prices as published by the model provider. API example

Specifications

Context window: 32K
Max output: 8.2K

Side by side

Qwen 2.5 Max compared

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

Limits
	Qwen 2.5 MaxQwenThis model	Qwen 3.8 27B NovelistQwenRemove
Provider	Qwen	Qwen
Discovery tier	Balanced	Open weights
Added	Oct 1, 2024	Oct 5, 2026
Context window	32K	262.14KBest
Max output	8.19K	32.77KBest
Average output	—	745 tokens
Pricing, USD per 1M tokens
Input	$1.60	$0.10Best
Output	$6.39	$0.60Best
Cache read	—	$0.05
Performance
Throughput	—	35.0 tok/s
Time to first token	—	3.1 s
Request success (24h)	—	98.2%
Capabilities
Reasoning	No	Yes
Tools	No	Yes
Vision	No	Yes
Reasoning effort	—	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

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": "qwen/qwen-max",
    "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="qwen/qwen-max",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.