AiCostCompare

Qwen3.5-122B-A10B

by Alibaba (Qwen) · qwen/qwen3.5-122b-a10b · #194 cheapest of 422 paid models

Prices updated Sep 19, 2026, 9:29 PM UTC · refreshed hourly

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol

Pricing

Input

$0.26

per 1M tokens

Output

$2.08

per 1M tokens

Blended (3:1)

$0.715

3 input : 1 output

Cache read

per 1M cached tokens

Cache write

per 1M tokens

Cache & batch economics

Effective prices for Qwen3.5-122B-A10B (no cache-read rate published — hits billed as normal input).

Cache hit rateEffective blended $/1MExample request*vs no cache
0%$0.715$0.0286
50%$0.715$0.0286−0%
90%$0.715$0.0286−0%

*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.

What a request costs

WorkloadInput tokensOutput tokensCost / requestCost / 1K requests
Short chat message500300$0.000754$0.754
Document summary8,0001,000$0.00416$4.16
Codebase question (RAG)30,0002,000$0.012$11.96
Long-context analysis150,0005,000$0.0494$49.40

Performance

Intelligence Index

15.6

AA composite quality

Coding Index

45.7

Math Index

Agentic Index

9.6

Output speed

133 tok/s

median

Time to first token

1.04s

median

Time to first answer

16.11s

after reasoning tokens

Artificial Analysis benchmarks

BenchmarkScore
GPQA Diamond85.7%
Humanity's Last Exam25.2%
SciCode39.7%
IFBench75.7%
AA-LCR (Long Context Reasoning)76.3%
Terminal-Bench Hard31.1%
Terminal-Bench 2.147.6%
τ²-Bench (Telecom)93.6%
τ³-Bench Banking15.3%

Specs

Context window

262K

tokens

Max output

66K

tokens

Input modalities

text, image, video

Tokenizer

Qwen3