AI 모델 인텔리전스

Qwen3 Max Thinking

alibaba/qwen3-max-thinking

제공: Alibaba (Qwen) · 패밀리: qwen · 출시 2026-01-23 · 지식 컷오프: 2025-01

$0.780
입력 / 1M 토큰
$3.90
출력 / 1M 토큰
262K
컨텍스트 창
33K
최대 출력

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

기능

도구 호출추론구조화 출력첨부오픈 웨이트온도 제어
모달리티: 입력 text · 출력 text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding81
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)8/20
  • Provider availability3/10
Agents93
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability3/10
JSON / structured output91
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume11/20
Cost efficiency46
  • Headline price (log-scaled)46/95
  • Has prompt-cache pricing0/5
Long context61
  • Context window (100K → 2M)51/90
  • Has published price for full window10/10
Production-readiness71
  • Number of independent providers15/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$5.85
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$11.70
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$3.51
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$10.14
$0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$11.70
$0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

가격 상세

추천 가격 제공자: openrouter · qwen/qwen3-max-thinking

$0.780
입력
$3.90
출력

3곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
OpenRouter
openrouter
qwen/qwen3-max-thinking$0.780$3.90262K2026-02-09
Vercel AI Gateway
vercel
alibaba/qwen3-max-thinking$1.20$6.00256K2025-01
Kilo Gateway
kilo
qwen/qwen3-max-thinking$0.780$3.90262K2026-01-23

제공자 간 데이터 불일치

  • context_window varies: 256000, 262144
  • release_date varies (span 404d): 2025-01, 2026-01-23, 2026-02-09

제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.

Frequently asked questions

How much does Qwen3 Max Thinking cost?

Qwen3 Max Thinking costs $0.780 per 1M input tokens and $3.90 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Qwen3 Max Thinking?

Qwen3 Max Thinking has a context window of 262K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen3 Max Thinking support tool calling?

Yes. Qwen3 Max Thinking supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Qwen3 Max Thinking support structured output / JSON mode?

Yes. Qwen3 Max Thinking supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Qwen3 Max Thinking accept image input?

No. Qwen3 Max Thinking only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Qwen3 Max Thinking open-weight?

No. Qwen3 Max Thinking is a proprietary model — only Alibaba (Qwen) (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Qwen3 Max Thinking?

If Qwen3 Max Thinking doesn't fit, consider Qwen3.5 397B-A17B, Qwen3 32B, Qwen3-Coder 480B-A35B Instruct. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

마지막 업데이트:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.