Qwen: Qwen3 Coder 480B A35B

Public pricingIntelligence 79/100Large memoryツール利用

Qwen: Qwen3 Coder 480B A35B は テキスト モデルで、コーディング、ソフトウェア開発、エージェント業務 に向いています。高いコーディング性能、安定したツール利用とエージェント動作、262K tokensのコンテキスト、低コストの特性を組み合わせ、コーディング、ソフトウェア開発、エージェント業務 で安定した動作を支えます。精度・文脈・制御 が重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$0.22/1M

Output

$1.00/1M

Cached

$0.02/1M

Batch

$0.11/1M

Calculate your Qwen3 Coder 480B A35B bill.

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What would Qwen3 Coder 480B A35B cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Qwen3 Coder 480B A35B at a glance.

Memory

262,144

tokens

Max reply

65,536

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

qwen3

Released

Jul 2025

Training cutoff

Apr 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • swe_bench_verified

    69.6

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Qwen3 Coder 480B A35B

  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.
  • Code generation, review, or refactoring.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Qwen3 Coder 480B A35B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen3 Coder 480B A35B costs roughly $57 per month. Input is $0.22 /1M tokens and output is $1.00 /1M tokens.
Qwen3 Coder 480B A35B has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, Qwen3 Coder 480B A35B supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3 Coder 480B A35B was released in July 2025, with training data cut off around April 2025.
Models in a similar class include Qwen3 Coder Flash, Qwen3 Coder Next, Qwen3 Coder 480B A35B. The "Similar models" section below this FAQ links into each.

Still unsure?

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