Model comparison

Claude 2 vs DeepSeek-V3.2-Exp

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 25.0 on the Noometry Index.

Last verified October 10, 2026. 4 shared benchmarks.

Claude 2 Anthropic

25.0

Rank #346 Reported

DeepSeek-V3.2-Exp

DeepSeek

44.3

Rank #78 Confirmed

Summary

They share 4 benchmarks with published results for both. Claude 2 scores higher in 0 categories and DeepSeek-V3.2-Exp in 3 categories; 2 gaps are clear of the uncertainty.
The widest gap is in knowledge, where DeepSeek-V3.2-Exp leads 51.7 to 16.9.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 2.5% for Claude 2 and 87.8% for DeepSeek-V3.2-Exp.
DeepSeek-V3.2-Exp has downloadable open weights; the other is API-only.

Side by side

Claude 2 and DeepSeek-V3.2-Exp specifications
	Claude 2	DeepSeek-V3.2-Exp
Provider	Anthropic	DeepSeek
Noometry Index	25.0	44.3
Released	2023-07-11	2025-09-29
Weights	Proprietary	Open
Context window	—	164K
Max output	—	66K
Input $ / M tokens	—	$0.26
Output $ / M tokens	—	$0.38
Results tracked	8	49

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Category by category

Coding Not comparable

Claude 2: —, DeepSeek-V3.2-Exp: 46.5 (#65)

Coding benchmarks
Benchmark	Claude 2	DeepSeek-V3.2-Exp
SWE-bench Verified (bash only)	—	70%
Aider Polyglot	—	74.2%
LMArena WebDev	—	1362
SWE-bench Multilingual	—	59%
SciCode	—	38.9%
WeirdML	—	39.5%
LMArena Coding	—	1454
HumanEval+	61.6%	—

Agentic & Tool Use Not comparable

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

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

Reasoning Too close to call

Claude 2: 21.7 (#216), DeepSeek-V3.2-Exp: 22.1 (#208)

Reasoning benchmarks
Benchmark	Claude 2	DeepSeek-V3.2-Exp
DTBench	51.9%	87.7%
Epoch Capabilities Index	120.13	146.27
ARC-AGI-2	—	4%
Kagi LLM Benchmark	—	52.2%
NYT Connections (extended)	—	36.7%
ARC-AGI-1	—	57%
CritPt	—	2.9%
Chess Puzzles	—	14%
Thematic Generalization	—	65%
LMArena Hard Prompts	—	1434
LMCA	—	29.1%

Math DeepSeek-V3.2-Exp leads

Claude 2: 9.3 (#320), DeepSeek-V3.2-Exp: 41.7 (#87)

Math benchmarks
Benchmark	Claude 2	DeepSeek-V3.2-Exp
OTIS Mock AIME 2024-2025	2.5%	87.8%
MathArena Final-Answer Competitions	—	57.7%
ProofBench	—	8%
LMArena Math	—	1435
MATH Level 5	11.7%	—
FrontierMath (Feb 2025 set)	—	22.1%
FrontierMath Tier 4 (v1)	—	2.1%

Knowledge DeepSeek-V3.2-Exp leads

Claude 2: 16.9 (#287), DeepSeek-V3.2-Exp: 51.7 (#66)

Knowledge benchmarks
Benchmark	Claude 2	DeepSeek-V3.2-Exp
GPQA Diamond	34.7%	83.4%
Vectara Hallucination Rate	—	5.3%
LMArena Expert	—	1436
MMLU	78.5%	—
TriviaQA	87.5%	—

Multilingual Not comparable

Claude 2: —, DeepSeek-V3.2-Exp: 52.2 (#90)

Multilingual benchmarks
Benchmark	Claude 2	DeepSeek-V3.2-Exp
LMArena Non-English	—	1409
LMArena Chinese	—	1461
LMArena French	—	1433
LMArena German	—	1440
LMArena Japanese	—	1374
LMArena Korean	—	1371
LMArena Russian	—	1424
LMArena Spanish	—	1440

Instruction Following Not comparable

Claude 2: —, DeepSeek-V3.2-Exp: 74.5 (#93)

Instruction Following benchmarks
Benchmark	Claude 2	DeepSeek-V3.2-Exp
LMArena Instruction Following	—	1413

Long Context Not comparable

Claude 2: —, DeepSeek-V3.2-Exp: 47.6 (#16)

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

Writing & Preference Not comparable

Claude 2: —, DeepSeek-V3.2-Exp: 62.4 (#77)

Writing & Preference benchmarks
Benchmark	Claude 2	DeepSeek-V3.2-Exp
LMArena Text	—	1425
LMArena Creative Writing	—	1403
EQ-Bench Creative Writing	—	1515
LMArena Multi-Turn	—	1427

Frequently asked questions

Is Claude 2 better than DeepSeek-V3.2-Exp?