Model comparison

Claude 2 vs DeepSeek-R1

DeepSeek-R1 is the stronger model overall, scoring 42.3 to 25.0 on the Noometry Index.

Last verified October 10, 2026. 4 shared benchmarks.

Claude 2 Anthropic

25.0

Rank #346 Reported

DeepSeek-R1

DeepSeek

42.3

Rank #115 Confirmed

Summary

They share 4 benchmarks with published results for both. Claude 2 scores higher in 1 category and DeepSeek-R1 in 2 categories; 3 gaps are clear of the uncertainty.
The widest gap is in math, where DeepSeek-R1 leads 43.8 to 9.3.
The biggest single-benchmark swing is MATH Level 5: 11.7% for Claude 2 and 96.6% for DeepSeek-R1.

Side by side

Claude 2 and DeepSeek-R1 specifications
	Claude 2	DeepSeek-R1
Provider	Anthropic	DeepSeek
Noometry Index	25.0	42.3
Released	2023-07-11	2025-01-20
Weights	Proprietary	Proprietary
Context window	—	164K
Max output	—	64K
Input $ / M tokens	—	$0.50
Output $ / M tokens	—	$2.15
Results tracked	8	52

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Category by category

Coding Not comparable

Claude 2: —, DeepSeek-R1: 46.3 (#68)

Coding benchmarks
Benchmark	Claude 2	DeepSeek-R1
Aider Polyglot	—	71.4%
SciCode	—	35.7%
WeirdML	—	41.6%
LiveBench Coding	—	66.7%
LMArena Coding	—	1427
ALE-Bench	—	804.12
AlgoTune	—	1.7
HumanEval+	61.6%	—

Agentic & Tool Use Not comparable

Claude 2: —, DeepSeek-R1: 30.7 (#75)

Agentic & Tool Use benchmarks
Benchmark	Claude 2	DeepSeek-R1
DeepResearch Bench	—	35.1%
BALROG	—	34.9%
METR Time Horizons	—	53.8%

Reasoning Claude 2 leads

Claude 2: 21.7 (#216), DeepSeek-R1: 18.6 (#278)

Reasoning benchmarks
Benchmark	Claude 2	DeepSeek-R1
Epoch Capabilities Index	120.13	141.29
ARC-AGI-2	—	1.3%
SimpleBench	—	40.8%
Kagi LLM Benchmark	—	69.4%
ARC-AGI-1	—	21.2%
CritPt	—	1.1%
LiveBench Reasoning	—	83.2%
LMArena Hard Prompts	—	1416
DTBench	51.9%	—
LiveBench Data Analysis	—	69.8%
ForecastBench	—	60
LiveBench	—	71.6%

Math DeepSeek-R1 leads

Claude 2: 9.3 (#320), DeepSeek-R1: 43.8 (#79)

Math benchmarks
Benchmark	Claude 2	DeepSeek-R1
OTIS Mock AIME 2024-2025	2.5%	66.4%
MATH Level 5	11.7%	96.6%
Omni-MATH	—	42.4%
LiveBench Math	—	80.7%
LMArena Math	—	1400

Knowledge DeepSeek-R1 leads

Claude 2: 16.9 (#287), DeepSeek-R1: 44.5 (#87)

Knowledge benchmarks
Benchmark	Claude 2	DeepSeek-R1
GPQA Diamond	34.7%	76.3%
MMLU-Pro	—	79.3%
Confabulations	—	12.7%
Vectara Hallucination Rate	—	11.3%
GPQA (HELM)	—	66.6%
LMArena Expert	—	1394
MMLU	78.5%	—
TriviaQA	87.5%	—

Multilingual Not comparable

Claude 2: —, DeepSeek-R1: 52.4 (#85)

Multilingual benchmarks
Benchmark	Claude 2	DeepSeek-R1
LMArena Non-English	—	1412
LMArena Chinese	—	1442
LMArena French	—	1417
LMArena German	—	1404
LMArena Japanese	—	1391
LMArena Korean	—	1360
LMArena Russian	—	1423
LMArena Spanish	—	1411

Instruction Following Not comparable

Claude 2: —, DeepSeek-R1: 72.0 (#143)

Instruction Following benchmarks
Benchmark	Claude 2	DeepSeek-R1
LiveBench Instruction Following	—	80.5%
IFEval	—	78.4%
LMArena Instruction Following	—	1382

Long Context Not comparable

Claude 2: —, DeepSeek-R1: 45.4 (#36)

Long Context benchmarks
Benchmark	Claude 2	DeepSeek-R1
Fiction.LiveBench	—	75%
LMArena Longer Query	—	1391

Writing & Preference Not comparable

Claude 2: —, DeepSeek-R1: 61.4 (#88)

Writing & Preference benchmarks
Benchmark	Claude 2	DeepSeek-R1
LMArena Text	—	1428
LMArena Creative Writing	—	1405
Short-Story Creative Writing	—	83%
EQ-Bench Creative Writing	—	1500
WildBench	—	82.8%
LMArena Multi-Turn	—	1405
LiveBench Language	—	48.5%

Frequently asked questions

Is Claude 2 better than DeepSeek-R1?