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Qwen · Efficient

Qwen3.5 Flash Thinking

Added Feb 24, 2026

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Use in the app

Qwen3.5 Flash with extended reasoning enabled. The fastest and cheapest native Qwen 3.5 vision-language model.

  • Reasoning
  • Vision
  • Video input
Input
Text, Images, Video
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.10
Output
$0.40

Reference prices as published by the model provider. API example

Specifications

Context window
991.8K
Max output
65.5K

Side by side

Qwen3.5 Flash Thinking compared

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

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Qwen3.5 Flash ThinkingQwenThis modelQwen3.7 FlashQwenRemove
ProviderQwenQwen
Discovery tierEfficientEfficient
AddedFeb 24, 2026Jul 25, 2026
Limits
Context window991.81K991.81K
Max output65.54K65.54K
Pricing, USD per 1M tokens
Input$0.10$0.03Best
Output$0.40$0.13Best
Cache read—$0.006
Cache write—$0.038
Performance
Request success (24h)—99.9%
Capabilities
ReasoningYesYes
ToolsNoYes
VisionYesYes
Structured outputNoYes
Video inputYesYes
Reasoning effort—none, 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/qwen3.5-flash:thinking",
    "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/qwen3.5-flash:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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