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Qwen3 Coder Next

qwen3-coder-next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per... Built by Qwen.

Prices updated

Input price

$0.12

per 1M tokens · Standard

Output price

$0.80

per 1M tokens · Standard

Input limit

262K

tokens

Output limit

236K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
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Qwen3 Coder Next price history

2 price records since 9/25/2026

Qwen3 Coder Next cost calculator

Input20M tokens
Output5M tokens

$6.40/month

Standard pricing

    Overview

    What is Qwen3 Coder Next?

    Qwen3 Coder Next is a text & reasoning and code & slms model from Qwen. Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per... Its 262K context window and $0.12 input price make it a candidate for cost-sensitive, high-throughput applications.

    Code generationAgent workflowsContent workflowsClassification

    Benchmarks

    Qwen3 Coder Next benchmarks & speed

    How Qwen3 Coder Next scores on standardized evaluations, and where it lands among every model we track.

    9.2

    Intelligence Index

    Better than 22% of 153 models

    101tok/s

    Output speed

    Better than 57% of 119 models

    Reasoning

    GPQA Diamond

    73.7%

    Graduate-level scientific reasoning · top 66%

    HLE

    10.1%

    Humanity's Last Exam · top 66%

    Coding

    SciCode

    36.2%

    Python for scientific computing · top 87%

    Latency & design

    Time to first token
    1.4s

    Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.

    Rates

    Qwen3 Coder Next pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $0.12

    Per 1M tokens

    Cached input · Standard

    $0.07

    Per 1M tokens

    Capabilities

    Qwen3 Coder Next Tools

    Tools available when using Qwen3 Coder Next through supported provider APIs.

    Function calling

    Supported

    Structured outputs

    Supported

    JSON mode

    Supported

    Reasoning

    Not supported

    Built-in web search

    Not supported

    Log probabilities

    Supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Supported

    Strengths and limitations

    Strengths

    • Low input cost at $0.12 per million tokens suits high-volume workloads.
    • 262K context supports large documents, repositories and extended conversations.
    • Supports text & reasoning and code & slms workloads in one model.

    Limitations

    • Generated tokens cost 7× more than input tokens, which matters for verbose responses.
    • Large context capacity does not guarantee consistent retrieval across the entire prompt.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about Qwen3 Coder Next

    Qwen3 Coder Next is a text & reasoning and code & slms model from Qwen. Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...