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qwen/qwen3-coder
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Qwen3 Coder 480B A35B

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over repositories. The model features 480 billion total parameters, with 35 billion active per forward pass (8 out of 160 experts). Pricing for the Alibaba endpoints varies by context length. Once a request is greater than 128k input tokens, the higher pricing is used.

7/23/2025
262,144 tokens
#132 Code (Overall)

Specifications

Modalities

Input
text
Output
text

Supported Parameters

frequency_penalty
logit_bias
max_tokens
min_p
presence_penalty
repetition_penalty
response_format
seed
stop
structured_outputs
temperature
tool_choice
tools
top_k
top_p

Data policy

Prompt retention
Unknown — we could not confirm
Training
Unknown — not declared

"Unknown" does not mean "safe". It means we could not confirm it.

Whether a provider trains on prompts is a declared value from our terms with them. Retention is determined from the upstream listing for every host this model can reach. Neither is guessed.

Frequently asked questions

Is Qwen3 Coder 480B A35B available on FastMetal?
Not at the moment. Qwen3 VL 235B A22B Instruct, from the same lab, is available on the FastMetal API today.
What is the context window of Qwen3 Coder 480B A35B?
262,144 tokens, shared between the prompt and the response.
How does Qwen3 Coder 480B A35B rank?
#153 on the public arena's Japanese board (ELO 1,327). Ranks move as the leaderboard is updated.

Leaderboard

Text
spanishELO: 1,387
#167
russianELO: 1,392
#162
CodingELO: 1,457
#150
MathELO: 1,376
#195
Creative WritingELO: 1,362
#168
Instruction FollowingELO: 1,383
#172
Hard PromptsELO: 1,414
#175
Multi-TurnELO: 1,397
#170
OverallELO: 1,388
#182
JapaneseELO: 1,327
#153
ChineseELO: 1,405
#182
KoreanELO: 1,326
#166
EnglishELO: 1,396
#188
frenchELO: 1,430
#136
germanELO: 1,353
#179
Code
OverallELO: 1,275
#132

Rankings: LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), CC BY 4.0, snapshot 2026-10-22; category names mapped and ratings rounded by FastMetal.