NOUMENOpen app

Qwen · Efficient

Qwen Long 10M

Added Aug 1, 2024

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Use in the app

Alibaba's huge context window model. Takes in up to 10 million tokens, which is equivalent to dozens of books.

  • PDF input
Input
Text
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.10
Output
$0.41

Reference prices as published by the model provider. API example

Specifications

Context window
10M
Max output
8.2K

Side by side

Qwen Long 10M compared

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

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Qwen Long 10MQwenThis modelMercury 3InceptionRemove
ProviderQwenInception
Discovery tierEfficientEfficient
AddedAug 1, 2024Oct 19, 2026
Limits
Context window10MBest1M
Max output8.19K131.07KBest
Average output—1.9K tokens
Pricing, USD per 1M tokens
Input$0.10$0.10Best
Output$0.41$0.35Best
Cache read—$0.01
Performance
Throughput—765.5 tok/s
Time to first token—2.4 s
Request success (24h)—99.8%
Capabilities
ReasoningNoYes
ToolsNoYes
Structured outputNoYes
PDF inputYesNo
Parallel toolsNoYes
Reasoning effort—none, low, medium, high

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

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