Textby Qwen

Qwen3.8 Max Prime

Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point. It accepts text, image, and video...

  • By price it is in the pricier half of the 347 text models GenMagic runs (311th cheapest).
  • It was listed on Sep 23, 2026.

Data last changed Nov 1, 2026 · tracked since Oct 29, 2026 · Every model change

Try Qwen3.8 Max Prime

Generate with Qwen3.8 Max Prime right here. Verify your email to start with free credits.

Try

Specifications

Context window

1M tokens

Max output

131K tokens

Input price

$6.00 / 1M tokens

Output price

$18.00 / 1M tokens

Cached input

$0.75 / 1M tokens

Capabilities

Reasoning

Works through multi-step problems before answering, for harder tasks.

Vision input

Accepts images alongside text, so you can prompt with pictures and screenshots.

Tool use

Can call functions and tools, enabling agentic and structured workflows.

Structured output

Returns validated JSON that conforms to a schema you define.

Use Qwen3.8 Max Prime through the API

The model id is qwen/qwen3.8-max-prime. Requests bill your GenMagic balance at the price above, and each response reports what it cost.

curl
curl https://genmagic.co/api/v1/chat/completions \
  -H "Authorization: Bearer $GENMAGIC_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3.8-max-prime",
    "messages": [{ "role": "user", "content": "Explain vector databases in two sentences." }]
  }'
Python (openai SDK)
from openai import OpenAI

client = OpenAI(base_url="https://genmagic.co/api/v1", api_key="YOUR_GENMAGIC_API_KEY")

resp = client.chat.completions.create(
    model="qwen/qwen3.8-max-prime",
    messages=[{"role": "user", "content": "Explain vector databases in two sentences."}],
)
print(resp.choices[0].message.content)

From an AI agent, call generate_text with "model": "qwen/qwen3.8-max-prime" on the GenMagic MCP server. Keys, limits and every endpoint are in the API documentation.

Use Qwen3.8 Max Prime in n8n

  1. In n8n, open the nodes panel, search for GenMagic and install it (a verified community node), then add it to your workflow.
  2. Set Resource to Text and Operation to Generate.
  3. In Model Name or ID, pick Qwen: Qwen3.8 Max Prime, or enter qwen/qwen3.8-max-prime as an expression.
  4. Connect your GenMagic API key (get one free). Each run is billed at the price above, and the node returns what it cost.

Ready-to-import workflows that already use the node are on GenMagic for n8n.

Similar-priced text models from other providers

Other text models GenMagic runs at a comparable price, on the same balance and API key.

ModelProviderPriceContext
Qwen: Qwen3.8 Max Prime (this model)Qwen$6.00 in / $18.00 out per 1M tokens1M
MoonshotAI: Kimi K3Moonshot AI$0.29 in / $24.00 out per 1M tokens1M
OpenAI: GPT-5.3-CodexOpenAI$2.63 in / $21.00 out per 1M tokens400K
Amazon: Nova Premier 1.0Amazon$3.75 in / $18.75 out per 1M tokens1M
Fireworks: Ember-1Fireworks$4.50 in / $22.50 out per 1M tokens1M
Anthropic: Claude Sonnet 4.6Anthropic$4.50 in / $22.50 out per 1M tokens1M

More from Qwen

All 44 Qwen models

Price and listing history

Every change GenMagic has recorded for Qwen3.8 Max Prime since it began tracking the model on Oct 29, 2026. Prices are GenMagic's, the same the studio and the API charge.

DateChangeBeforeAfter
Nov 1, 2026Price up 36%$4.40 in / $13.20 out per 1M tokens$6.00 in / $18.00 out per 1M tokens

Where these figures come from

  • Price: GenMagic's own price, what the studio and the API charge, recomputed from the provider's price list every few minutes and recorded daily. How pricing works.
  • Specs and description: as Qwen publishes them, checked daily.
  • Changes: the data on this page last changed on Nov 1, 2026, tracked since Oct 29, 2026. Every model's new listings, price changes and retirements are in the model changes log, and how every figure on GenMagic is sourced is on our sources page.

Generate with Qwen3.8 Max Prime today

One GenMagic plan unlocks Qwen3.8 Max Prime and every other model across text, image, audio, and video.