Intelligence des modèles d'IA

Qwen3 Coder 480B A35B Instruct

amazon-bedrock/qwen3-coder-480b-a35b

Par amazon-bedrock · famille: qwen · sorti 2025-09-18 · fin de connaissance: 2024-04

⚠ Il s'agit d'un fine-tune communautaire ou dérivé — pas d'une publication officielle de l'éditeur.

$0.220
Entrée / 1M jetons
$1.80
Sortie / 1M jetons
131K
Fenêtre de contexte
66K
Sortie max

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

Capacités

Tool callingRaisonnementSortie structuréePièces jointesPoids ouvertsContrôle de température
Modalités: entrée text · sortie 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.

Coding63
  • Tool calling40/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability1/10
Agents76
  • Tool calling35/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output96
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume16/20
Cost efficiency55
  • Headline price (log-scaled)55/95
  • Has prompt-cache pricing0/5
Long context46
  • Context window (100K → 2M)36/90
  • Has published price for full window10/10
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

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
$2.00
< $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
$4.00
< $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
$1.34
< $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
$3.56
< $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
$3.72
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Détail des tarifs

Tarif recommandé de amazon-bedrock · qwen.qwen3-coder-480b-a35b-v1:0

$0.220
Entrée
$1.80
Sortie

Disponible chez 1 fournisseurs

FournisseurID modèle fournisseurEntrée / 1MSortie / 1MContextePublié le
Amazon Bedrock
amazon-bedrock
qwen.qwen3-coder-480b-a35b-v1:0$0.220$1.80131K2025-09-18

Frequently asked questions

How much does Qwen3 Coder 480B A35B Instruct cost?

Qwen3 Coder 480B A35B Instruct costs $0.220 per 1M input tokens and $1.80 per 1M output tokens, sourced from amazon-bedrock. 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 480B A35B Instruct?

Qwen3 Coder 480B A35B Instruct has a context window of 131K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen3 Coder 480B A35B Instruct support tool calling?

Yes. Qwen3 Coder 480B A35B Instruct 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 480B A35B Instruct support structured output / JSON mode?

Yes. Qwen3 Coder 480B A35B Instruct 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 Coder 480B A35B Instruct accept image input?

No. Qwen3 Coder 480B A35B Instruct only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Qwen3 Coder 480B A35B Instruct open-weight?

Yes. Qwen3 Coder 480B A35B Instruct'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 480B A35B Instruct?

If Qwen3 Coder 480B A35B Instruct doesn't fit, consider Palmyra X5, Nova Pro, Nova Micro. 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.

More amazon-bedrock models

Dernière mise à jour :

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.