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qwen

Qwen: Qwen3 Coder 480B A35B

qwen/qwen3-coder

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

Qwen's Qwen3-Coder-480B-A35B-Instruct, listed as qwen/qwen3-coder, is a Mixture-of-Experts code model with 480B total and 35B activated parameters, released under Apache-2.0. The vendor positions it for agentic coding, with a purpose-built function-call format, tool use, and a 256K-token context extendable to 1M via Yarn. OpenRouter's catalog confirms text-to-text operation, tool and structured-output parameters, and publishes Design Arena ratings in coding categories; independent benchmark coverage remains limited.[1][2]

Strengths

  • Vendor-reported agentic coding focus: a purpose-built function-call format, tool calling via OpenAI-compatible APIs, and support on agent platforms such as Qwen Code and CLINE.[1][2]
  • Long context for repository-scale work: 262,144 tokens natively, extendable to 1M with Yarn per the model card.[1][2]
  • Sparse MoE design (160 experts, 8 active; 35B of 480B parameters activated), Apache-2.0 licensing, and catalog support for structured outputs and common sampling controls.[1][2]

Limitations

  • Text-only input and output; no vision or other modalities are listed in either source.[1][2]
  • Non-thinking mode only: the model card states it does not produce think blocks, and the catalog reports no reasoning capability.[1][2]
  • Performance claims are largely vendor-reported; with evidence limited to catalog data and Design Arena ratings, teams should validate quality, latency, and memory needs on their own workloads.[1][2]

Where to use it

  • Agentic coding assistants and IDE or CLI integrations that rely on function calling and tool use.[1][2]
  • Repository-scale code understanding, refactoring, and review where the long context window may help.[2]
  • Web and UI code generation or prototyping, areas covered by the catalog's Design Arena categories.[1]

Sources

  1. [1] OpenRouter catalog · Qwen: Qwen3 Coder 480B A35BSources checked: Nov 13, 2026
  2. [2] Model documentation · Qwen: Qwen3 Coder 480B A35BSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

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...

Specifications

Model ID
qwen/qwen3-coder
Canonical ID
qwen/qwen3-coder-480b-a35b-07-25
Creator
qwen
Added to OpenRouter
23.07.2025
Context length
262,144
Modality
text->text
Input modalities
text
Output modalities
text
Token pricing
USD per 1M tokens: in $0.300 / out $1
Knowledge cutoff
30.06.2025
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityNo measurement—
CodingNo measurement—
AgentsNo measurementparameters: structured_outputs, tool_choice, tools
WritingNo measurementoutput: text
ReasoningNo measurement—
Document analysisNo measurement—
VisionNo measurement—
Image generationNo measurement—
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

SourceBenchmarkValueGradeData retrieved
Design Arenamodels · codecategorieswin rate 61.2% · rank 971,133EloCC — below the B band13.11.2026
Design Arenamodels · datavizwin rate 54.9% · rank 1081,084EloCC — below the B band13.11.2026
Design Arenamodels · gamedevwin rate 58.7% · rank 1001,089EloCC — below the B band13.11.2026
Design Arenamodels · uicomponentwin rate 61.4% · rank 981,105EloCC — below the B band13.11.2026
Design Arenamodels · websitewin rate 61.7% · rank 951,151EloCC — below the B band13.11.2026
How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
DeepInfrafp4262,144$0.300$1——65%
Venicefp8256,000$0.350$1.5——100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.