ModelPriceWatch.com
Last scan 2026-08-18 Models tracked 217 Providers 31 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Qwen3-Coder-Next

by Alibaba

Current coding cheap tier

Today's price · per 1M tokens

Input

$0.300

per 1M tokens

Output

$1.50

per 1M tokens

Blended

$0.600

blended $/1M — 3:1 weighted input:output

How this price is scoped: Alibaba Model Studio International list price. Tiered by input size: $0.30/$1.50 per 1M tokens for 0<Token≤32K, $0.50/$2.50 for 32K<Token≤128K, and $0.80/$4.00 for 128K<Token≤256K; the entry 0–32K tier is the headline shown here, the same basis used for every other tiered Alibaba row on this site. A long-context coding session bills at the higher tiers. No context-cache or batch rate is printed for this SKU, so cached input is left unset rather than assumed. Gateway resellers quote lower routed rates ($0.12/$0.80). This SKU's row carries no discount label, so the standard list rate is the one tracked here.

Source: official Alibaba pricing · read Aug 17, 2026 MODELPRICEWATCH.COM · 2026-08-18

Price receipt

We read Alibaba's own pricing page on Aug 17, 2026 and found qwen3-coder-next listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is 4b0d6c342a.

Overview

Alibaba's Qwen3 coding model on Model Studio. $0.30/$1.50 per 1M tokens on the 0–32K tier, rising with input size to $0.80/$4.00 above 128K. 256K-token context, text-only.

Capabilities

struck through = not supported
Input 1/5
Text ✓ Image Audio Video PDF
Output 1/5
Text ✓ Image Audio Video Embedding
Features 2/9
Prompt caching Reasoning Coding ✓ Fast inference Long context ✓ Open weights Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 15.1th3 independent measurements
Percentile per $/Mtok 25.2

We hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 21.3 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA Agentic Index: 8.9 (Tool use, planning, autonomy)
  • AA-Omniscience Index: -62.4 (−100–100)
How it stacks up
  • Ranks #133 of 161 comparably-measured models by percentile score, across 3 independent measurements
  • Ranks #107 of 161 comparably-tested models by normalized performance per dollar

Source: Artificial Analysis · updated Aug 17, 2026 · See full rankings →

Specifications

Provider
Alibaba
Context window
262K tokens
Modality
text
Parameters
Proprietary
Open source
No — proprietary
Released
Feb 4, 2026
Status
Current
Last updated
Aug 17, 2026
Tags
coding

Availability verified: Aug 17, 2026 — listed on Alibaba's own page