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Qwen3.5 122B A10B

AlibabaReleased Feb 23, 2026Open weights · Apache 2.0qwen3.5-122b-a10b

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Reasoning
yes
Knowledge cutoff
September 2025
Context
262K tokens
Max output
64k tokens
Input
text, image, video
API features
tools, structured outputs, JSON mode, seed, logprobs
Alibaba's API
yes, as qwen3.5-122b-a10b

Read Oct 23, 06:00 UTC from the hosts' published offers and OpenRouter, spec sheet from Alibaba · cutoff: aiknowledgecutoff.com

Lowest input, per M$0.26at SiliconFlow
Cheapest cache, per M$0.30at AtlasCloud
Fastest97 tok/sat Alibaba, on OpenRouter
Providers5serve this version

The cheapest host, SiliconFlow, serves fp8 weights (maker: bf16). Cheapest at the maker's precision and context: Novita AI, $3.60 blended. Weights and context per host

Speed by provider

Output speed of Qwen3.5 122B A10B at each host, fastest first

Speed: OpenRouter, median of the last 30 min, read Oct 23, 06:00 UTC · a snapshot of real traffic before the daily read, not a daily average · bars from zero.

Run it yourself

open weights, Apache 2.0 · fits 4 of the 6 workstations in our guideSelf-host guide ›
Parameters
122B
10B active per token (MoE)
Memory needed
73 GB
in INT4 · 146 GB in INT8
Smallest cloud setup
A100
80 GB · $1.19/h, about $869 a month
Worth it above
371M tokens
a month, against the cheapest API at $2.34 per M
QuantizationMemorySmallest cloud GPUQuality
INT4 (Q4)73 GBA100 · $1.19/hsmallest footprint, minor quality loss
INT8 (Q8)146 GB2× H100 · $4.30/hnear-lossless
FP16 (full)293 GB4× H100 · $8.60/hreference quality

At home: in INT4 it fits a Mac Studio M5 Ultra (96 GB unified), about $5,499 once, or $0.2092/h over 3 years, electricity aside; it pays for itself after about 2B tokens against the cheapest API.

Memory ≈ parameters × bytes per parameter × 1.2 · cloud price: on-demand rate, running 24/7 · builds: GGUF, AWQ, MLX, GPTQ, Ollama · break-even calculator

Sorted by cache price
ProviderInputOutputCache ↑tok/sFirst tokenUptime 24hChecked
AtlasCloudfp8 (bf16) · 256K ctx · 64K out$0.30$2.40$0.30851.92 s99.3%Oct 23
SiliconFlowfp8 (bf16) · 256K ctx$0.26$2.08—521.26 s97.2%Oct 23
DeepInfrafp4 (bf16) · 256K ctx$0.29$2.40———100%Oct 1
Alibabaprecision not read: host terms · 256K ctx · 64K out$0.40$3.20—970.56 s100%Oct 23
Novita AIbf16 · 256K ctx · 64K out$0.40$3.20————Oct 23

5 of 5 providers · prices per million tokens, read Oct 23, 06:00 UTC · speed: OpenRouter, median of the last 30 min, read Oct 23, 06:00 UTC · uptime: OpenRouter, last 24 h · under each host: weights precision, context and max output as served, the maker's value in brackets when the host's differs

ProviderWeightsContextMax outputToolsStructured outputsReasoning
SiliconFlowfp8256Knot read: host termsnoyesyes
DeepInfrafp4256Knot stated by the host———
AtlasCloudfp8256K64Kyesyesyes
Alibabanot read: host terms256K64Kyesyesyes
Novita AIbf16256K64Kyesnoyes

Weights, context and max output: read at each host's own catalogue or docs where its terms allow, otherwise as the host declares to OpenRouter; hover a cell for its source and date · tools, structured outputs, reasoning: as declared to OpenRouter · not verified by us

Qwen3.5 122B A10B spec sheet, field by field, with sources

Qwen3.5 122B A10B spec sheetmaker-declared

What Alibaba declares about the model itself — read from its own weights repository and documentation, not from any host. What each endpoint actually serves is in the pricing above: the two can differ, and both are true.

Context window
262,144 tokens
Parameters
125,086,497,008≈ 125.1B
Active experts
8 of 256 active per token
Weight precision
BF16
License
Apache 2.0 — open weights, permissivecurated · read 2026-09-07Scope: the licence on the published weights, and nothing else. It is not the maker's acceptable-use policy, which is a separate document, and it is not the contract you sign with whichever host you call — hosts set their own terms, which this index does not read.
Knowledge cutoff
not published by the maker≈ September 2025 third-party estimate — not the maker's figurecurated
Modalities
text · image · video
Max output (official)
to verify
Release date
to verify≈ February 23, 2026 third-party catalogue — not the maker's figure
Maker lifecycle status
to verify

Also declared in the weights

Architecture class
Qwen3_5MoeForConditionalGeneration
Layers
48
Vocabulary
248,320 tokens
Weights first published
February 24, 2026
Weights last updated
April 24, 2026

Qwen/Qwen3.5-122B-A10B · config.json @ dc4d348 · read 2026-10-08 · 6 of 10 fields published by the maker

ProviderChatbot 1,000 in / 500 outRAG / long context 8,000 in / 500 outBatch summarize 4,000 in / 1,000 out
SiliconFlow$1.30$3.12$3.12
DeepInfra$1.49$3.52$3.56
AtlasCloud$1.50$3.60$3.60
Alibaba$2.00$4.80$4.80
Novita AI$2.00$4.80$4.80

What each host bills for 1,000 requests of a representative job

Your own workload

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