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Qwen3.6 35B A3B

Qwen3.6-35B-A3B is Alibaba's latest flagship Mixture-of-Experts model, with 35B total parameters and only 3B activated per token (256 experts, 8 routed + 1 shared).

text + image + video → text · made by Alibaba

$0.05$0.7per Mtok in / out
Nous Research · 10 sellers

Sold by 23 ways

SellerLaneRate
Thinking Machines Lab apitraining$0.54per Mtok in$1.33per Mtok out$0.11per Mtok cachedtinker-docs.thinkingmachines.ai · read 2026-08-25
Nous Research aggregatorstandard$0.05per Mtok in$0.7per Mtok out$0.04per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
OpenRouter 12 ways$0.1per Mtok in$0.9per Mtok out$0.05per Mtok cached
OpenRouter aggregatordarkbloom/fp4$0.05per Mtok in$0.7per Mtok outopenrouter.ai · read 2026-08-28
OpenRouter aggregatorstandard$0.1per Mtok in$0.9per Mtok out$0.05per Mtok cachedopenrouter.ai · read 2026-08-28
OpenRouter aggregatorakashml/fp8$0.1per Mtok in$0.9per Mtok out$0.05per Mtok cachedopenrouter.ai · read 2026-08-29
OpenRouter aggregatordeepinfra/fp8$0.1per Mtok in$0.95per Mtok outopenrouter.ai · read 2026-08-26
OpenRouter aggregatordekallm$0.1per Mtok in$1per Mtok out$0.05per Mtok cachedopenrouter.ai · read 2026-09-12
OpenRouter aggregatorvenice/fp8$0.1per Mtok in$1per Mtok outopenrouter.ai · read 2026-08-26
OpenRouter aggregatorio-net/fp8$0.13per Mtok in$0.94per Mtok out$0.067per Mtok cachedopenrouter.ai · read 2026-09-10
OpenRouter aggregatorparasail/fp8$0.15per Mtok in$1per Mtok out$0.05per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatoratlas-cloud/fp8$0.19per Mtok in$1.11per Mtok out$0.19per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatorphala$0.2per Mtok in$1.27per Mtok outopenrouter.ai · read 2026-08-25
OpenRouter aggregatorsiliconflow/fp8$0.24per Mtok in$1.8per Mtok out$0.15per Mtok cachedopenrouter.ai · read 2026-09-11
OpenRouter aggregatorcoreweave/fp8$0.25per Mtok in$1.25per Mtok out$0.25per Mtok cachedopenrouter.ai · read 2026-08-25
DeepInfra aggregatorstandard$0.1per Mtok in$0.95per Mtok outapi.deepinfra.com · read 2026-08-25
Hugging Face Inference Providers 3 ways$0.15per Mtok in$0.95per Mtok out
Hugging Face Inference Providers aggregatordeepinfra$0.1per Mtok in$0.95per Mtok outrouter.huggingface.co · read 2026-08-25
Hugging Face Inference Providers aggregatorstandard$0.15per Mtok in$0.95per Mtok outmodels.dev · read 2026-09-16
Hugging Face Inference Providers aggregatorscaleway$0.28per Mtok in$1.71per Mtok outrouter.huggingface.co · read 2026-08-25
Venice AI aggregatorstandard$0.1per Mtok in$1per Mtok outmodels.dev · read 2026-09-16
ElectronHub aggregatorstandard$0.15per Mtok in$1per Mtok outapi.electronhub.ai · read 2026-09-16
SiliconFlow aggregatorstandard$0.2per Mtok in$1.6per Mtok outmodels.dev · read 2026-09-16
Novita AI aggregatorstandard$0.25per Mtok in$1.49per Mtok outapi.novita.ai · read 2026-08-25
PPIO aggregatorstandard$1.8per Mtok in$10.8per Mtok outapi.ppinfra.com · read 2026-09-16

Measured 18 standings

PlaceBoardMetricScore
16thof 17SWE-rebench Leaderboard (default window 15/05/2026–01/07/2026, 111 problems)Resolved Rate (%)24.7
20thof 26Surface evolver bench — Epoch AIMean score0.444
45thof 127Mystery game puzzles — Epoch AImean_score (none)22
58thof 222Chess puzzles — Epoch AImean_score26
63rdof 123Lmca — Epoch AIScore29.7
75thof 106Frontiermath tiers 1 3 v2 — Epoch AImean_score (none)20.351
77thof 290OTIS Mock AIME 2024-2025mean_score86.667
83rdof 161Dtbench — Epoch AIAccuracy73.87
89thof 143Artificial Analysis · Agentic IndexIndex15
89thof 313GPQA Diamondmean_score (none)84.848
111thof 121Webdev arena — Epoch AIArena Score1249.75
112thof 184Artificial Analysis · Coding IndexIndex41.9
125thof 177Critpt — Epoch AIAccuracy0.286
126thof 302Artificial Analysis · Intelligence IndexArtificial Analysis Intelligence Index19
136thof 168Scicode — Epoch AIScore35.764
141stof 170Weirdml — Epoch AIAccuracy34.49
166thof 202Terminalbench — Epoch AIAccuracy mean0.23
354thof 656Epoch capabilities index — Epoch AIECI Score (none)143.88

About

Qwen3.6 35B A3B — a text model from Alibaba, sold by 10 companies from $0.05 in and $0.7 out per million tokens, placed 58th of 222 on Chess puzzles — Epoch AI.

It takes text, images and video and returns text, with a context window of 262,144 tokens. It was published in April 2026, trained on material up to April 2025. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning and code. Ten companies sell it. The cheapest is $0.05 in and $0.7 out per million tokens at Nous Research. Beside the standard rate there are separately routed and regional lanes. It has been measured on 18 boards, and stands best at 58th of 222 on Chess puzzles — Epoch AI.

Every current figure

Maker
Alibaba
Register
model
Takes
text + image + video
Returns
text
Context
262,144 tokens
Published
April 2026
Knowledge to
April 2025
Parameters
36 billion
Licence
not read
Sellers
10
Maker's own price
not read
Price
$0.05 in and $0.7 out per million tokens — Nous Research
Boards
18
Best place
58th of 222 — Chess puzzles — Epoch AI

Known as 2 names

Qwen3.6-35B-A3BQwen/Qwen3.6-35B-A3B