Qwen: Qwen3 Coder 480B A35B

Public pricingIntelligence 79/100Large memory工具调用

Qwen: Qwen3 Coder 480B A35B 是一款文本模型，适合编码、软件工程和智能体工作流。它结合了强大的编码能力、可靠的工具调用与智能体表现、262K tokens上下文和低成本定位，可在编码、软件工程和智能体工作流中提供可靠表现。它适合重视准确性、上下文与控制的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

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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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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