Model comparison

DeepSeek-V3.2-Exp vs Qwen Plus

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 37.1 on the Noometry Index.

Last verified October 10, 2026. 19 shared benchmarks.

DeepSeek-V3.2-Exp

DeepSeek

44.3

Rank #78 Confirmed

Qwen Plus

Alibaba (Qwen)

37.1

Rank #210 Confirmed

Summary

They share 19 benchmarks with published results for both. DeepSeek-V3.2-Exp scores higher in 7 categories and Qwen Plus in 1 category; 8 gaps are clear of the uncertainty.
The widest gap is in knowledge, where DeepSeek-V3.2-Exp leads 51.7 to 27.4.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 87.8% for DeepSeek-V3.2-Exp and 17.8% for Qwen Plus.
DeepSeek-V3.2-Exp is cheaper at $0.26 / $0.38 per million input/output tokens, against $0.40 / $1.20 for Qwen Plus.
Qwen Plus accepts more context: 1M tokens versus 164K.
DeepSeek-V3.2-Exp has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.2-Exp and Qwen Plus specifications
	DeepSeek-V3.2-Exp	Qwen Plus
Provider	DeepSeek	Alibaba (Qwen)
Noometry Index	44.3	37.1
Released	2025-09-29	2024-01-25
Weights	Open	Proprietary
Context window	164K	1M
Max output	66K	33K
Input $ / M tokens	$0.26	$0.40
Output $ / M tokens	$0.38	$1.20
Results tracked	49	20

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Category by category

Coding DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 46.5 (#65), Qwen Plus: 38.9 (#167)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Exp	Qwen Plus
LMArena Coding	1454	1328
SWE-bench Verified (bash only)	70%	—
Aider Polyglot	74.2%	—
LMArena WebDev	1362	—
SWE-bench Multilingual	59%	—
SciCode	38.9%	—
WeirdML	39.5%	—

Agentic & Tool Use Not comparable

DeepSeek-V3.2-Exp: 32.7 (#59), Qwen Plus: —

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.2-Exp	Qwen Plus
Terminal-Bench	39.6%	—
APEX-Agents	21.3%	—
Berkeley Function Calling Leaderboard	56.7%	—
TheAgentCompany	42.9%	—
Vending-Bench 2	1,034	—

Reasoning Qwen Plus leads

DeepSeek-V3.2-Exp: 22.1 (#208), Qwen Plus: 28.4 (#107)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Exp	Qwen Plus
Kagi LLM Benchmark	52.2%	63.3%
LMArena Hard Prompts	1434	1317
DTBench	87.7%	81.1%
LMCA	29.1%	24%
ARC-AGI-2	4%	—
NYT Connections (extended)	36.7%	—
ARC-AGI-1	57%	—
CritPt	2.9%	—
Chess Puzzles	14%	—
Thematic Generalization	65%	—
Epoch Capabilities Index	146.27	—

Math DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 41.7 (#87), Qwen Plus: 23.3 (#271)

Math benchmarks
Benchmark	DeepSeek-V3.2-Exp	Qwen Plus
OTIS Mock AIME 2024-2025	87.8%	17.8%
LMArena Math	1435	1326
FrontierMath (Feb 2025 set)	22.1%	1.7%
MathArena Final-Answer Competitions	57.7%	—
ProofBench	8%	—
MATH Level 5	—	65.3%
FrontierMath Tier 4 (v1)	2.1%	—

Knowledge DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 51.7 (#66), Qwen Plus: 27.4 (#251)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Exp	Qwen Plus
GPQA Diamond	83.4%	48.1%
LMArena Expert	1436	1328
Vectara Hallucination Rate	5.3%	—

Multilingual DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 52.2 (#90), Qwen Plus: 45.1 (#175)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Exp	Qwen Plus
LMArena Non-English	1409	1310
LMArena Chinese	1461	1347
LMArena Japanese	1374	1251
LMArena Russian	1424	1323
LMArena French	1433	—
LMArena German	1440	—
LMArena Korean	1371	—
LMArena Spanish	1440	—

Instruction Following DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 74.5 (#93), Qwen Plus: 68.8 (#181)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Exp	Qwen Plus
LMArena Instruction Following	1413	1303

Long Context DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 47.6 (#16), Qwen Plus: 40.3 (#158)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Exp	Qwen Plus
LMArena Longer Query	1428	1324
Fiction.LiveBench	83.3%	—
CL-bench	13.2%	—
CL-bench Life	9.5%	—

Writing & Preference DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 62.4 (#77), Qwen Plus: 52.2 (#176)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Exp	Qwen Plus
LMArena Text	1425	1326
LMArena Creative Writing	1403	1293
LMArena Multi-Turn	1427	1336
EQ-Bench Creative Writing	1515	—

Frequently asked questions

Is DeepSeek-V3.2-Exp better than Qwen Plus?

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 37.1 on the Noometry Index.

Which is cheaper, DeepSeek-V3.2-Exp or Qwen Plus?

DeepSeek-V3.2-Exp is cheaper. It lists at $0.26 per million input tokens and $0.38 per million output tokens; Qwen Plus lists at $0.40 and $1.20.

Is DeepSeek-V3.2-Exp or Qwen Plus better for coding?

DeepSeek-V3.2-Exp scores higher on coding benchmarks: 46.5 versus 38.9 in the Noometry coding category.

Which has the bigger context window?

Qwen Plus does, with 1M tokens against 164K.

How many benchmarks do DeepSeek-V3.2-Exp and Qwen Plus share?

19 benchmarks have published results for both models. DeepSeek-V3.2-Exp has 49 scored results on Noometry and Qwen Plus has 20.