NOUMENOpen app
NOUMEN

Qwen · Frontier

Qwen3.8 Max

Added Aug 3, 2026

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

Qwen3.8 Max is Qwen's 2.4T-parameter flagship model for coding, knowledge work, full-stack development, data analysis, and long-running agent workflows in non-thinking mode. It supports text, image, video, PDF input, tool calling, structured output, and a near-million-token context window.

  • Tools
  • Vision
  • Structured output
  • PDF input
  • Video input
Input
Text, Images, Video
Output
Text
Discovery tier
Frontier

Pricing

USD per 1M tokens
Input
$2.00
Output
$6.00
Cache read
$0.25
Cache write
$2.50

Reference prices as published by the model provider. API example

Specifications

Context window
991K
Max output
65.5K

Side by side

Qwen3.8 Max compared

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

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Qwen3.8 MaxQwenThis modelKimi K3.1 ProMoonshotRemove
ProviderQwenMoonshot
Discovery tierFrontierFrontier
AddedAug 3, 2026Oct 24, 2026
Limits
Context window991K1.05MBest
Max output65.54K—
Average output—921 tokens
Pricing, USD per 1M tokens
Input$2.00$2.00
Output$6.00Best$10.00
Cache read$0.25$0.20Best
Cache write$2.50$2.00Best
Performance
Throughput—51.7 tok/s
Time to first token—6.9 s
Request success (24h)98.7%Best84.0%
Benchmark indexes
Intelligence Index—55.1
Capabilities
ReasoningNoYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
PDF inputYesNo
Video inputYesYes
Reasoning effort—low, high, max

Public evaluations

Benchmarks

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

  • Qwen3.8 Max
  • Kimi K3.1 Pro

Intelligence Index

  • Qwen3.8 Max—
  • Kimi K3.1 Pro55.1
3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Qwen3.8 Max: —
    • Kimi K3.1 Pro: 73.3%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Qwen3.8 Max: —
    • Kimi K3.1 Pro: 46.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Qwen3.8 Max: —
    • Kimi K3.1 Pro: 1,678 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Qwen3.8 Max: —
    • Kimi K3.1 Pro: 1,846 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Qwen3.8 Max: —
    • Kimi K3.1 Pro: 31.4%

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen3.8 Max: —
    • Kimi K3.1 Pro: 86.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen3.8 Max: —
    • Kimi K3.1 Pro: 52.5%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Qwen3.8 Max: —
    • Kimi K3.1 Pro: 67.2%

  • SciCode

    Scientific computing in Python

    • Qwen3.8 Max: —
    • Kimi K3.1 Pro: 60.8%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen3.8 Max: —
    • Kimi K3.1 Pro: 86.3%

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
89.0%
About $0.44 per 1M input tokens with caching
Request success (24h)
98.7%
Reliable

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.

Hourly request success · last 72 hoursLowest hour 33.3%
  • 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": "qwen/qwen3.8-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/qwen3.8-max",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.