Exaone 4.0 32B vs Qwen3.5-35B-A3B

Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.

Agentic
Coding
Multimodal & Grounded
Reasoning
Knowledge
Instruction Following
Multilingual
Mathematics

Exaone 4.0 32B· Qwen3.5-35B-A3B

Quick Verdict

Pick Exaone 4.0 32B if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if you need the larger 262K context window.

Exaone 4.0 32B is clearly ahead on the aggregate, 75 to 67. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Exaone 4.0 32B's sharpest advantage is in knowledge, where it averages 81.8 against 79.3. The single biggest benchmark swing on the page is MMLU-Pro, 81.8% to 85.3%.

Qwen3.5-35B-A3B gives you the larger context window at 262K, compared with 128K for Exaone 4.0 32B.

Operational tradeoffs

PriceN/AFree*
SpeedN/AN/A
TTFTN/AN/A
Context128K262K

Decision framing

BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.

Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.

BenchmarkExaone 4.0 32BQwen3.5-35B-A3B
Agentic
Terminal-Bench 2.040.5%
BrowseComp61%
OSWorld-Verified54.5%
tau2-bench81.2%
Coding
SWE-bench Verified69.2%
LiveCodeBench74.6%
Multimodal & Grounded
MMMU-Pro75.1%
Reasoning
LongBench v259%
KnowledgeExaone 4.0 32B wins
MMLU-Pro81.8%85.3%
SuperGPQA63.4%
GPQA84.2%
Instruction Following
IFEval91.9%
Multilingual
MMLU-ProX81%
Mathematics
AIME 202585.3%
Frequently Asked Questions (2)

Which is better, Exaone 4.0 32B or Qwen3.5-35B-A3B?

Exaone 4.0 32B is ahead overall, 75 to 67. The biggest single separator in this matchup is MMLU-Pro, where the scores are 81.8% and 85.3%.

Which is better for knowledge tasks, Exaone 4.0 32B or Qwen3.5-35B-A3B?

Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 79.3. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.

Last updated: March 31, 2026

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