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  1. Models
  2. Text
  3. Qwen

Qwen3 Coder Next

Qwen3 Coder Next is an open-weight coding model built on Qwen3-Next-80B-A3B-Base (hybrid attention + MoE). It is agentically trained at scale on executable tasks and environment interaction, delivering strong coding and tool-use performance at lower inference cost. Native 256K context.

  • Tool Calling
  • Structured Output

Added Dec 8, 2025

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.12
Output
$0.80
Cache read
$0.07
Compare provider prices

Specifications

Context window
262.1K
Max output
65.5K
Parameters
80B / 3B
Total / active

Benchmarks

No public benchmark scores for this model yet.

Providers

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto (ZDR)
$0.12$0.80$0.07N/AN/A
Auto
Auto (Anonymized)
$0.12$0.80$0.07N/AN/A
Parasail
Parasail
BF16
US
$0.126$0.84$0.0735N/AN/A
IONOS
IONOS
EU
$0.179$0.934N/AN/AN/A
Privacy:ZDR, prompts not retainedNo training on prompts
Batch API
ProviderInputOutputCached input
Auto
Autoqwen/qwen3-coder-next
$0.12/M$0.80/M$0.07/M

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

Related text models

Compare Qwen3 Coder Next with similar models from the same provider or model family.

Qwen 3 Coder 480B

qwen/qwen3-coder

Qwen 3 Coder 480B, a 480 billion total parameter model with 35B active, and 160 total experts with 8 active. Performs similar to Claude 4 Sonnet in coding benchmarks, but does so at a much lower price.

Qwen3 Coder Flash

qwen/qwen3-coder-flash

A speed‑optimized and budget‑friendly sibling to Coder Plus. Excellent at code generation and agentic workflows (tool use, environment interaction) with solid general‑purpose ability.

Qwen3 Next 80B A3B (Instruct)

qwen/qwen3-next-80b-a3b-instruct

Based on the new Qwen3‑Next architecture (hybrid attention, highly sparse MoE, training‑stability optimizations, and multi‑token prediction), the Qwen3‑Next‑80B‑A3B‑Instruct model delivers extreme efficiency with only 3B active parameters per pass. It performs comparably to Qwen3‑235B‑A22B‑Instruct‑2507 and shows clear advantages on ultra‑long context tasks (up to 256K tokens).

Qwen3 Next 80B A3B (Thinking)

qwen/qwen3-next-80b-a3b-thinking

Qwen3 Next 80B A3B (Thinking)

Qwen 3.8 27B Antislop

qwen/qwen3.8-27b-antislop

Qwen 3.8 27B Antislop is a creative-writing finetune designed to reduce formulaic prose. Available capabilities include image understanding, tool calling, and optional reasoning, with context windows up to 262,144 tokens.

Qwen 3.8 27B DarkIdol

qwen/qwen3.8-27b-darkidol

Qwen 3.8 27B DarkIdol is a creative finetune served by Aoru in NVFP4 with a 262,144-token context window. It supports image understanding, tool calling, and optional reasoning.