AIモデルインテリジェンス

Qwen3 Coder Plus

alibaba/qwen3-coder-plus

提供: Alibaba (Qwen) · ファミリー: qwen · リリース 2025-07-23 · 知識カットオフ: 2025-04

$1.00
入力 / 100万トークン
$5.00
出力 / 100万トークン
1.05M
コンテキスト長
66K
最大出力

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

機能一覧

ツール呼び出し推論? 構造化出力添付オープンウェイト温度制御
モダリティ: 入力 text · 出力 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.

Coding70
  • Tool calling40/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)20/20
  • Provider availability10/10
Agents60
  • Tool calling35/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability10/10
JSON / structured output38
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume8/20
Cost efficiency43
  • Headline price (log-scaled)43/95
  • Has prompt-cache pricing0/5
Long context91
  • Context window (100K → 2M)81/90
  • Has published price for full window10/10
Production-readiness96
  • Number of independent providers40/40
  • 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
$7.50
< $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
$15.00
< $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
$4.50
< $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
$13.00
$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
$15.00
$0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

料金詳細

推奨料金 (提供元): alibaba · qwen3-coder-plus

$1.00
入力
$5.00
出力

最安プロバイダー: alibaba-coding-plan · Unknown 入力 + Unknown 出力

10 か所で利用可能

プロバイダープロバイダーモデルID入力 / 1M出力 / 1Mコンテキストリリース日
Alibaba
alibaba
qwen3-coder-plus$1.00$5.001.05M2025-07-23
Alibaba (China)
alibaba-cn
qwen3-coder-plus$1.00$5.001.05M2025-07-23
Alibaba Coding Plan
alibaba-coding-plan
qwen3-coder-plusUnknownUnknown1M2025-07-23
Alibaba Coding Plan (China)
alibaba-coding-plan-cn
qwen3-coder-plusUnknownUnknown1M2025-07-23
OpenRouter
openrouter
qwen/qwen3-coder-plus$0.650$3.251M2025-09-23
Vercel AI Gateway
vercel
alibaba/qwen3-coder-plus$1.00$5.001M2025-07-23
iFlow
iflowcn
qwen3-coder-plusUnknownUnknown256K2025-07-01
ZenMux
zenmux
qwen/qwen3-coder-plus$1.00$5.001M2025-07-23
Kilo Gateway
kilo
qwen/qwen3-coder-plus$0.650$3.251M2025-07-01
LLM Gateway
llmgateway
qwen3-coder-plus$1.00$5.001.05M2025-07-23

プロバイダー間でデータに差異

  • context_window varies: 1000000, 1048576, 256000
  • release_date varies (span 84d): 2025-07-01, 2025-07-23, 2025-09-23

プロバイダーごとに本モデルの値が異なります。上部の「主要数値」は代表的プロバイダーを使用しています。詳細は表をご確認ください。

Frequently asked questions

How much does Qwen3 Coder Plus cost?

Qwen3 Coder Plus costs $1.00 per 1M input tokens and $5.00 per 1M output tokens, sourced from alibaba. 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 Coder Plus?

Qwen3 Coder Plus has a context window of 1.05M tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen3 Coder Plus support tool calling?

Yes. Qwen3 Coder Plus 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 Coder Plus support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3 Coder Plus in our data source. Verify with Alibaba (Qwen)'s official documentation before relying on it in production.

Can Qwen3 Coder Plus accept image input?

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

Is Qwen3 Coder Plus open-weight?

Yes. Qwen3 Coder Plus's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Qwen3 Coder Plus?

If Qwen3 Coder Plus doesn't fit, consider Qwen3.5 397B-A17B, Qwen3 32B, Qwen3 235B A22B Instruct 2507. 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 come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

最終更新:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.