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Qwen · Open weights

Qwen3.8 Flash

Added Aug 26, 2026Open weights

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Use in the app

Qwen3.8 Flash is Alibaba's latest fast multimodal model, with a million-token context window for coding, agentic workflows, visual understanding, long documents, codebases, and videos.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • Video input
Input
Text, Images, Video
Output
Text
Reasoning effort
none · high
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.14
Output
$0.42
Cache read
$0.016
Cache write
$0.20

Reference prices as published by the model provider. API example

Specifications

Context window
991.8K
Max output
131.1K

Side by side

Qwen3.8 Flash compared

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

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Qwen3.8 FlashQwenThis modelGemma 4 31BGoogleRemove
ProviderQwenGoogle
Discovery tierOpen weightsOpen weights
AddedAug 26, 2026Apr 2, 2026
Limits
Context window991.81KBest262.14K
Max output131.07K131.07K
Average output—338 tokens
Pricing, USD per 1M tokens
Input$0.14Best$0.14
Output$0.42$0.40Best
Cache read$0.016Best$0.05
Cache write$0.20—
Performance
Throughput—30.1 tok/s
Time to first token—2.3 s
Request success (24h)96.5%99.7%Best
Benchmark indexes
Intelligence Index—14.7
Coding Index—43.4
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
Video inputYesYes
Reasoning effortnone, high—

Public evaluations

Benchmarks

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

  • Qwen3.8 Flash
  • Gemma 4 31B

Intelligence Index

  • Qwen3.8 Flash—
  • Gemma 4 31B14.7
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 43.4

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 4.9%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 0.5%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 368 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 619 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 6.0%

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 69.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 23.6%

  • GPQA Diamond

    Graduate-level science questions

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 85.7%

  • IFBench

    Following precise output instructions

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 75.6%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 0.0%

  • SciCode

    Scientific computing in Python

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 45.5%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 36.4%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 59.9%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen3.8 Flash: —
    • Gemma 4 31B: 69.7%

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.

Prompt cache hits
96.4%
About $0.0205 per 1M input tokens with caching
Request success (24h)
96.5%
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 77.9%
  • 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-flash",
    "reasoning_effort": "none",
    "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-flash",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.