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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

Qwen3.5-122B-A10B

by Alibaba · 122B (A10B) parameters

Current mid tier open weights mid tier

Today's price · per 1M tokens

Input

$0.400

per 1M tokens

Output

$3.20

per 1M tokens

Blended

$1.10

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

How this price is scoped: Alibaba Model Studio International list price, single 0<Token≤256K tier, from the vendor's open-source Qwen table. Thinking-mode output is billed at the same rate as non-thinking. 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 ($0.29/$2.40). This SKU's row carries no discount label, so the standard list rate is the one tracked here — the same basis as every other Alibaba row on this site.

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 qwen3.5-122b-a10b 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 ff4af67ce0.

Overview

Open-weights Qwen3.5 MoE (122B total, 10B active) served by Alibaba, the model's maker, on Model Studio. $0.40/$3.20 per 1M tokens, a single 0–256K tier, with thinking-mode output billed at the same rate as non-thinking. 256K-token context, text-only.

Run it yourself

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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 31.8th4 independent measurements
Percentile per $/Mtok 28.9

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: 32.8 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA Agentic Index: 21.3 (Tool use, planning, autonomy)
  • AA-Omniscience Index: -41.5 (−100–100)
  • LMSYS Chatbot Arena: 1417.2 ELO (Human preference)
How it stacks up
  • Ranks #101 of 161 comparably-measured models by percentile score, across 4 independent measurements
  • Ranks #98 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
122B (A10B)
Open source
Yes — open weights available
Released
Feb 25, 2026
Status
Current
Last updated
Aug 17, 2026
Tags
mid-tieropen-weightsmoe

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