Qwen: Qwen3 Coder 30B A3B Instruct

Text input Text output
Author's Description

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the Qwen3 architecture, it supports a native context length of 256K tokens (extendable to 1M with Yarn) and performs strongly in tasks involving function calls, browser use, and structured code completion. This model is optimized for instruction-following without “thinking mode”, and integrates well with OpenAI-compatible tool-use formats.

Key Specifications
Cost
$$
Context
262K
Parameters
30B
Released
Jul 31, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Top Logprobs Stop Top P Seed Frequency Penalty Tool Choice Max Tokens Tools Logprobs Presence Penalty Logit Bias Temperature
Features

This model supports the following features:

Tools
Performance Summary

Qwen3-Coder-30B-A3B-Instruct, a 30.5B MoE model, demonstrates strong overall performance, particularly excelling in cost-efficiency and reliability. It consistently offers among the most competitive pricing, ranking in the 81st percentile, and exhibits high reliability with a 90% success rate. While generally performing in the top tier for speed (69th percentile), its duration can vary significantly across tasks. The model's key strength lies in its exceptional performance in Keyword Topic Relevance Classification, achieving perfect accuracy at the lowest cost, making it an outstanding value proposition. It also shows robust capabilities in Coding (Baseline) with 89.0% accuracy and strong ethical reasoning (98.0% accuracy). However, the model exhibits notable weaknesses in General Knowledge (32.2% accuracy) and Email Classification (19th percentile accuracy), suggesting limitations in broad factual recall and nuanced classification tasks. Its Instruction Following accuracy is moderate at 51.5%. Optimized for instruction-following without "thinking mode" and designed for advanced code generation, its performance aligns with its specialized purpose, though general knowledge and certain classification tasks could benefit from improvement.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.1
Completion $0.3

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Nebius
Nebius | qwen/qwen3-coder-30b-a3b-instruct 262K $0.1 / 1M tokens $0.3 / 1M tokens
Alibaba
Alibaba | qwen/qwen3-coder-30b-a3b-instruct 200K $0.75 / 1M tokens $3.75 / 1M tokens
Chutes
Chutes | qwen/qwen3-coder-30b-a3b-instruct 262K $0.0518 / 1M tokens $0.207 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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