AlibabaReleased Apr 16, 2026
Open weights

qwen3.6-35b-a3b

Its best results are in Abstract Reasoning (#83 of 201) and Knowledge Work (#98 of 176); weakest in Reliability (#128 of 177). Computer Use is estimated, because no results are published yet.

Composite IQ ?
104
#107 of 176 ranked models · ahead of 39%
Alibaba's #12 model, behind Qwen3.8 Max 0902 (125)
Effective cost
$2.19/1M
$0.38 in · $2.25 out
Speed
133tok/s
46s typical response
Context
262Ktokens
262,000 tokens in
Evidence
6of 7 dims
18 of 39 benchmarks

IQ profile

Seven dimensions, averaged equally into Composite IQ
Compare shape with
100 avg human130160● Abstract94#83● Math103#116● Academic114#126● Coding101#119● Computer Use102#111 · est.● Reliability105#128● Knowledge Work108#98
MeasuredEstimated95% range
#1 in dimensionTop-10 median

IQ dimensions

Ranks are among models scored in each dimension. Ranges are model-based estimates, not calibrated confidence intervals.

DimensionIQPosition · 70–160RankEvidencevs Top 10
94measured
#83 / 201
1/5
-32.5
103measured
#116 / 176
2/5
-44
114measured
#126 / 203
5/6
-21.5
101measured
#119 / 177
2/6
-48.5
102estimated
#111 / 176
0/5
-41
105measured
#128 / 177
4/6
-29
108measured
#98 / 176
4/6
-23.5
qwen3.6-35b-a3b95% range (model-based, uncalibrated)Top-10 median#1 in dimension100 = average human

Benchmark results

18 of 39 Composite IQ benchmarks have a published result for qwen3.6-35b-a3b. Benchmarks without a result stay listed so gaps are visible.

Abstract Reasoning IQ 94 · measuredBest: #39 of 76 on Chess Puzzles1/5
BenchmarkScorePercentileRankLeader · source
Chess Puzzles
Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 15
26.0%
#39 / 76
Leader gpt-6-astra · 72.0%
Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 15
Not yet reported
ARC-AGI-3ARC-AGI-2ARC-AGI-1Mystery Game Puzzles
Mathematical Reasoning IQ 103 · measuredBest: #54 of 64 on MathArena2/5
BenchmarkScorePercentileRankLeader · source
MathArena
Full source leaderboard reconciliation · Oct 28
13.0%
#54 / 64
Leader gpt-6.1-sol · 84.0%
Full source leaderboard reconciliation · Oct 28
FrontierMath Tier 1-3
Full source leaderboard reconciliation · Oct 23
20.4%
#72 / 84
Leader gpt-6-astra · 93.7%
Full source leaderboard reconciliation · Oct 23
Not yet reported
FrontierMath Tier 4ProofBench 1.1AIME
Academic Reasoning IQ 114 · measuredBest: #87 of 147 on GPQA Diamond5/6
BenchmarkScorePercentileRankLeader · source
GPQA Diamond
Artificial Analysis v4.3.2 · Oct 27
84.1%
#87 / 147
Leader gpt-6-astra · 96.1%
Artificial Analysis v4.3.2 · Oct 27
MMMU-Pro
Artificial Analysis v4.3.2 · Oct 27
75.0%
#53 / 89
Leader fable-5.1 · 90.6%
Artificial Analysis v4.3.2 · Oct 27
Humanity's Last Exam
Artificial Analysis v4.3.2 · Oct 27
22.2%
#112 / 167
Leader opus-5.5 · 61.4%
Artificial Analysis v4.3.2 · Oct 27
SciCode
Artificial Analysis v4.3.2 · Oct 27
36.6%
#141 / 167
Leader opus-5.5 · 66.9%
Artificial Analysis v4.3.2 · Oct 27
CritPt
Artificial Analysis v4.3.2 · Oct 27
0.3%
#136 / 159
Leader Muse Wonder Full · 32.9%
Artificial Analysis v4.3.2 · Oct 27
Not yet reported
MMLU-Pro
Programmatic Reasoning IQ 101 · measuredBest: #24 of 25 on SWE-rebench2/6
BenchmarkScorePercentileRankLeader · source
SWE-rebench
Full source leaderboard reconciliation · Oct 23
24.7%
#24 / 25
Leader fable-5 · 64.5%
Full source leaderboard reconciliation · Oct 23
Terminal-Bench 4.0
Artificial Analysis v4.3.2 · Oct 27
0.0%
#102 / 104
Leader Kimi K3.1 Pro · 67.2%
Artificial Analysis v4.3.2 · Oct 27
Not yet reported
LiveCodeBenchIOI V2ProgramBenchMirrorCode
Computer Use IQ 102 · estimatedNo published results0/5
No published results yet for Computer Use. The 102 shown is estimated from qwen3.6-35b-a3b's other dimensions and will be replaced as results come in. How estimates work
BrowseCompOSWorld-VerifiedMCP AtlasArena.ai Agent ArenaAgents' Last Exam
Reliability IQ 105 · measuredBest: #61 of 96 on IFBench4/6
BenchmarkScorePercentileRankLeader · source
IFBench
Artificial Analysis v4.3.2 · Oct 27
64.4%
#61 / 96
Leader minimax-m3 · 82.9%
Artificial Analysis v4.3.2 · Oct 27
AA Long Context Reasoning v1.1
Artificial Analysis v4.3.2 · Oct 27
71.7%
#103 / 154
Leader kimi-k3 · 88.7%
Artificial Analysis v4.3.2 · Oct 27
AA Omniscience
Artificial Analysis v4.3.2 · Oct 27
-22.2
#114 / 158
Leader opus-5.5 · 46.4
Artificial Analysis v4.3.2 · Oct 27
SimpleQA Verified
Epoch AI SimpleQA Verified · Sep 22
21.2%
#71 / 80
Leader Gemini 4 Argon · 76.0%
Epoch AI SimpleQA Verified · Sep 22
Not yet reported
BullshitBench v2FACTS Grounding
Knowledge Work IQ 108 · measuredBest: #82 of 124 on GDPval-AA v2.1 normalized score4/6
BenchmarkScorePercentileRankLeader · source
GDPval-AA v2.1 normalized score
Artificial Analysis v4.3.2 · Oct 23
19.5%
#82 / 124
Leader opus-5.5 · 68.3%
Artificial Analysis v4.3.2 · Oct 23
GDP.pdf
Artificial Analysis v4.3.2 · Oct 27
6.6%
#73 / 106
Leader Muse Wonder Full · 32.6%
Artificial Analysis v4.3.2 · Oct 27
AutomationBench-AA
Artificial Analysis v4.3.2 · Oct 27
5.2%
#75 / 106
Leader Gemini 4 Argon · 77.5%
Artificial Analysis v4.3.2 · Oct 27
AA-Briefcase v1.1 Elo
Artificial Analysis v4.3.2 · Oct 27
713
#79 / 111
Leader sonnet-5.5 · 1,812
Artificial Analysis v4.3.2 · Oct 27
Not yet reported
AA-AnalystAgentEnterpriseOps-Gym-AA

Release & availability

Release details on record for this model.

Released
Developer
Alibaba
Weights
Open weightsDownloadable and self-hostable
Context
262,000 tokens
API price
$0.38 in · $2.25 outper 1M tokens · full pricing

About this score

How much of qwen3.6-35b-a3b's IQ is measured, and how the rest is estimated.

18/ 39benchmark results
6/ 7dimensions measured
1estimated
1/5Abstract
2/5Math
5/6Academic
2/6Coding
0/5Computer Use
4/6Reliability
4/6Knowledge Work
Bar height = share of benchmarks with resultsEstimatedNo score
Measured results are shown as published

Every score in the benchmark tables comes from its source unchanged. Composite IQ averages all seven dimensions equally.

Estimates fill the gaps

Computer Use has no published results yet, so its IQ is estimated from qwen3.6-35b-a3b's other dimensions.

A missing result is not a zero

Benchmark versions and evaluation harnesses can differ between sources, so small gaps between models may not be meaningful.

Read the scoring methodology →

Compare qwen3.6-35b-a3b

Side-by-side pages for the models it is most often weighed against.

qwen3.6-35b-a3bComparison model
Browse all comparisons →

Frequently asked questions

Quick answers about qwen3.6-35b-a3b, drawn from the same data as the rest of this page.

How AI IQ scores models →Get this data from the API →
What is the IQ of qwen3.6-35b-a3b?
qwen3.6-35b-a3b has an estimated IQ of 104, which ranks #107 out of 176 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
What is qwen3.6-35b-a3b best at?
Among the dimensions with published benchmark results, qwen3.6-35b-a3b ranks highest in Abstract Reasoning (IQ 94, #83 of 201) and Knowledge Work (IQ 108, #98 of 176). Its lowest-ranked measured dimension is Reliability (IQ 105, #128 of 177).
What is the EQ of qwen3.6-35b-a3b?
qwen3.6-35b-a3b doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for qwen3.6-35b-a3b. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
Which benchmarks has qwen3.6-35b-a3b been tested on?
qwen3.6-35b-a3b has published results on 18 of the 39 benchmarks behind AI IQ's Composite IQ, including Chess Puzzles, GPQA Diamond, MMMU-Pro, IFBench and GDPval-AA v2.1 normalized score.
How much does qwen3.6-35b-a3b cost?
qwen3.6-35b-a3b costs $0.375 per million input tokens and $2.25 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $2.19 per million input-plus-output tokens.
Is qwen3.6-35b-a3b open source?
Yes — qwen3.6-35b-a3b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
Who developed qwen3.6-35b-a3b?
qwen3.6-35b-a3b was developed by Alibaba, based in China.
When was qwen3.6-35b-a3b released?
qwen3.6-35b-a3b was publicly released on April 16, 2026.
How large is the context window of qwen3.6-35b-a3b?
qwen3.6-35b-a3b supports a context window of 262,000 tokens — the amount of text it can consider in a single request.
How fast is qwen3.6-35b-a3b?
In independent measurements, qwen3.6-35b-a3b generates about 133 tokens per second, with a typical response time of about 46 seconds.