Benchmark Almanac

Qwen3.5-35B-A3B

Qwen3.5-35B-A3B places in the top three on 5 benchmarks.

Qwen Released February 24th, 2026 Compare with others
118
Benchmarks with a score
0
Ranked first, out of five or more models
5
In the top three
Qwen Feb 2026

Qwen3.5-35B-A3B

Open weights

144.0 #102 of 256
Epoch Capabilities Index
Self-Reported Index 144.6 #136 of 404
  • MMMU-Pro 75.1% #40 /90
  • IFBench 70.2% #44 /80
  • AA-LCR (Artificial Analysis Long Context Reasoning) 58.5% #24 /38

Where it ranks

Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.

Knowledge and language

BenchmarkScoreRankSource
BOUQuET 31.4 #2 of 18 Official leaderboard
MMLU-Pro 85.3% #23 of 167 Lab model card
IFEval 91.9% #21 of 135 Lab model card
QIMMA 61.2% #6 of 25 Official leaderboard
HallusionBench 67.9% #8 of 31 Lab model card
Judgemark v2.1 81.4 #12 of 42 Official leaderboard
MMLU-Redux 93.3% #13 of 45 Lab model card
SEA-HELM 73.5 #22 of 71 Official leaderboard
Humanity's Last Exam 47.4% #52 of 154 Lab model card
MMLU-ProX 81% #9 of 23 Lab model card
KINA 35.4% #15 of 37 Official leaderboard
LMArena (Elo) 1,394 #138 of 335 Official leaderboard
C-Eval 90.2% #19 of 46 Lab model card
INCLUDE 79.7% #13 of 31 Lab model card
MMMLU 85.2% #34 of 71 Lab model card
LongBench v2 59% #17 of 35 Lab model card
SuperGPQA 63.4% #17 of 35 Lab model card
MultiChallenge 60% #21 of 42 Lab model card
IFBench 70.2% #44 of 80 Lab model card
Vectara Hallucination Leaderboard (2025 dataset) 10.5% #64 of 104 Official leaderboard
AA-LCR (Artificial Analysis Long Context Reasoning) 58.5% #24 of 38 Lab model card
MAXIFE 86.6% #7 of 11 Lab model card
NOVA-63 57.1% #7 of 11 Lab model card
SimpleVQA 58.3% #21 of 30 Lab model card
Global PIQA 86.6% #10 of 14 Lab model card
Judgemark v4 40.5 #30 of 40 Official leaderboard
Longform Creative Writing (EQ-Bench) 44.5 #93 of 119 Official leaderboard
WideSearch 57.1% #19 of 19 Lab model card
Seal-0 41.4% #7 of 7 Lab model card

Math and science

BenchmarkScoreRankSource
GPQA Diamond 83.5% #85 of 229 Epoch AI run
PolyMath 64.4% #9 of 24 Lab model card
HMMT 2025 89% #26 of 54 Lab model card
DTBench 80% #93 of 180 Official leaderboard
OTIS Mock AIME 2024-2025 70% #111 of 212 Epoch AI run
MathArena (Apex, IMO, USAMO) 4.17% #28 of 47 Official leaderboard
HMMT Nov 2025 89.2% #17 of 28 Lab model card
AIME 2026 93.3% #23 of 31 Official leaderboard
HMMT 2026 81.8% #26 of 31 Official leaderboard
MathArena Apex Shortlist 44.7% #33 of 38 Official leaderboard

Coding

BenchmarkScoreRankSource
LiveCodeBench v6 74.6% #45 of 90 Lab model card
SWE-bench Verified 69.2% #85 of 155 Lab model card
Codeforces rating 2,028 #26 of 47 Lab model card
OJBench 36% #9 of 16 Lab model card
FullStackBench 56.5% #7 of 8 Lab model card
Code Arena 1,253 #115 of 128 Official leaderboard
ALE-Bench 648 #124 of 126 Official leaderboard
SWE-rebench 17.1% #13 of 13 Official leaderboard

Agents and tools

BenchmarkScoreRankSource
GameWorld 43.8% #6 of 22 Official leaderboard
AndroidWorld 71.1% #8 of 23 Lab model card
tau2-bench 81.2% #30 of 79 Lab model card
BFCL V4 67.3% #12 of 30 Lab model card
SnakeBench 25 #78 of 188 Official leaderboard
BrowseComp-ZH 69.5% #8 of 19 Lab model card
ScreenSpot-Pro 68.6% #16 of 32 Lab model card
LisanBench 447.3 #70 of 133 Official leaderboard
LLM Chess -26 #66 of 123 Official leaderboard
Toolathlon 28.7% #32 of 50 Official leaderboard
VITA-Bench 31.9% #11 of 16 Lab model card
DeepPlanning 22.8% #7 of 10 Lab model card
BrowseComp 61% #57 of 81 Lab model card
Terminal-Bench 2.0 40.5% #51 of 63 Lab model card
OSWorld-Verified 54.5% #34 of 41 Lab model card
MyPCBench 7.60% #8 of 9 Official leaderboard
RuneBench 0.75 #76 of 76 Official leaderboard
AutoResearchBench 1.94% #13 of 13 Official leaderboard
iOSWorld 12.8% #6 of 6 Official leaderboard

Professional work

BenchmarkScoreRankSource
MedXpertQA-MM 61.4% #8 of 21 Lab model card
LMBuild 47% #9 of 18 Official leaderboard
PMC-VQA 62% #6 of 10 Lab model card
SLAKE 78.7% #7 of 10 Lab model card
Vending-Bench 2 $463 #57 of 67 Official leaderboard
LEXam-hard 23.9% #13 of 15 Official leaderboard

Vision, audio and robotics

BenchmarkScoreRankSource
CountBench 97.8% #2 of 28 Lab model card
VLMs Are Blind 97% #2 of 14 Lab model card
MathVista 86.2% #11 of 70 Lab model card
MMMU 81.4% #17 of 103 Lab model card
MMStar 81.9% #6 of 36 Lab model card
OCRBench 91% #6 of 34 Lab model card
RefAdv-S 66.7% #4 of 19 Official leaderboard
Hypersim 13.1 #2 of 9 Lab model card
DynaMath 85% #6 of 23 Lab model card
RealWorldQA 84.1% #11 of 38 Lab model card
AI2D 92.6% #16 of 52 Lab model card
Video-MME 86.6% #16 of 51 Lab model card
MMLongBench-Doc 59.5% #6 of 19 Lab model card
MMBench-EN v1.1 91.5% #8 of 23 Lab model card
ZeroBench 34.1% #11 of 31 Lab model card
OCRBench v2 65.3% #5 of 14 Official leaderboard
MATH-Vision (MathVision) 83.9% #19 of 51 Lab model card
ERQA 64.8% #14 of 36 Lab model card
MMVU 72.3% #11 of 26 Lab model card
MVBench 74.8% #10 of 23 Lab model card
MMMU-Pro 75.1% #40 of 90 Lab model card
VideoMME v2 (with subtitles) 25.8% #14 of 31 Official leaderboard
MLVU 85.6% #10 of 22 Lab model card
V* 92.7% #8 of 17 Lab model card
RefSpatial-Bench 63.5% #8 of 16 Lab model card
GeoGuesser environment (FineEnvs) 0.33 #7 of 14 Official leaderboard
Nuscene 14.6 #4 of 8 Lab model card
TIR-Bench 55.5% #3 of 6 Lab model card
LVBench 71.4% #17 of 31 Lab model card
RefCOCO / RefCOCO+ / RefCOCOg 89.2% #16 of 29 Lab model card
CharXiv 77.5% #44 of 75 Lab model card
Video-MMMU 80.4% #22 of 36 Lab model card
EmbSpatialBench 83.1% #10 of 16 Lab model card
CC-OCR 80.7% #9 of 14 Lab model card
SUNRGBD 33.4 #6 of 9 Lab model card
ODinW-13 42.6% #9 of 13 Lab model card
LingoQA 79.2% #7 of 10 Lab model card
BabyVision 38.4% #21 of 26 Lab model card
AgentWorldBench 47.7 #12 of 13 Official leaderboard
CiteVQA 10.7% #15 of 16 Official leaderboard

Safety and security

BenchmarkScoreRankSource
SusVibes 18.3% #4 of 10 Official leaderboard
nocot-bench (NCRI) 60.1 #137 of 185 Official leaderboard

Other

BenchmarkScoreRankSource
Conceptual Reasoning Index 42.1 #94 of 151 Official leaderboard
LMCA 29.5% #92 of 147 Official leaderboard
ACCoRD 55.3 #106 of 152 Official leaderboard
Political Science LLM Benchmark 65% #30 of 42 Official leaderboard

Its lab's numbers put it at 144.6, in line with its ECI

The Self-Reported Index fits one score to the 68 capability results Qwen reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 143.6 to 145.5. How we compute it.

Its lab's numbers next to 3 leaderboards

Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.

Benchmark Lab says Board says Gap
GPQA Diamond 84.2% GPQA Diamond 83.5% Epoch AI run +0.7 pts
MATH-Vision (MathVision) 83.9% MathVision 83.9% Leaderboard Same
MMLU-Pro 85.3% MMLU-Pro 85.3% Leaderboard Same

Qwen's models over time

Qwen's models in color, against every other model on the Epoch Capabilities Index, by release date.

50 100 150 2023 2024 2025 2026 2027 Qwen3.8 Max (0902) Qwen3.7-Plus Qwen3.5-9B Qwen3-14B Qwen2.5-72B Qwen2.5-Coder (1.5B) Qwen2.5-Coder-32B 50 100 150 2023 2024 2025 2026 2027 Qwen3.8 Max (0902) Qwen 3.6 Flash

Source: Epoch Capabilities Index, Epoch AI (CC BY 4.0)

Its launch post

The benchmarks the lab chose to headline, with the scores it gave.