Noometry

Model comparison

Claude 2 vs DeepSeek-V3

DeepSeek-V3 is the stronger model overall, scoring 39.5 to 25.0 on the Noometry Index.

Last verified . 8 shared benchmarks.

Claude 2 Anthropic

25.0

Rank #346 Reported

DeepSeek-V3 DeepSeek

39.5

Rank #166 Confirmed

Summary

  • They share 8 benchmarks with published results for both. Claude 2 scores higher in 1 category and DeepSeek-V3 in 2 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek-V3 leads 32.1 to 9.3.
  • The biggest single-benchmark swing is MATH Level 5: 11.7% for Claude 2 and 75.5% for DeepSeek-V3.
  • DeepSeek-V3 has downloadable open weights; the other is API-only.

Side by side

Claude 2DeepSeek-V3
ProviderAnthropicDeepSeek
Noometry Index25.039.5
Released2023-07-112024-12-26
WeightsProprietaryOpen
Context window—164K
Max output—164K
Input $ / M tokens—$0.24
Output $ / M tokens—$0.90
Results tracked860

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Category by category

Coding Not comparable

Claude 2: —, DeepSeek-V3: 42.3 (#106)

BenchmarkClaude 2DeepSeek-V3
HumanEval+61.6%86.6%
Aider Polyglot—55.1%
SciCode—35.8%
WeirdML—36.1%
BigCodeBench Instruct—50%
LiveBench Coding—70.9%
LMArena Coding—1368
BigCodeBench Complete—62.2%
MBPP+—73%

Agentic & Tool Use Not comparable

Claude 2: —, DeepSeek-V3: —

BenchmarkClaude 2DeepSeek-V3
METR Time Horizons—49.6%

Reasoning Claude 2 leads

Claude 2: 21.7 (#216), DeepSeek-V3: 20.5 (#236)

BenchmarkClaude 2DeepSeek-V3
DTBench51.9%64.8%
Epoch Capabilities Index120.13135.94
SimpleBench—27.2%
Kagi LLM Benchmark—52.3%
CritPt—0%
LiveBench Reasoning—65.8%
LMArena Hard Prompts—1365
LiveBench Data Analysis—60.9%
LMCA—15.5%
BIG-Bench Hard—87.5%
ForecastBench—59.1
HellaSwag—88.9%
LiveBench—66.9%
PIQA—84.7%
WinoGrande—85.2%

Math DeepSeek-V3 leads

Claude 2: 9.3 (#320), DeepSeek-V3: 32.1 (#219)

BenchmarkClaude 2DeepSeek-V3
OTIS Mock AIME 2024-20252.5%37.8%
MATH Level 511.7%75.5%
Omni-MATH—40.3%
LiveBench Math—73.5%
LMArena Math—1373
FrontierMath (Feb 2025 set)—1.7%

Knowledge DeepSeek-V3 leads

Claude 2: 16.9 (#287), DeepSeek-V3: 37.5 (#155)

BenchmarkClaude 2DeepSeek-V3
GPQA Diamond34.7%67.6%
MMLU78.5%87.2%
TriviaQA87.5%82.9%
MMLU-Pro—72.3%
Confabulations—26.1%
Vectara Hallucination Rate—6.1%
GPQA (HELM)—53.8%
LMArena Expert—1351
ARC (AI2) Challenge—95.3%

Multilingual Not comparable

Claude 2: —, DeepSeek-V3: 48.5 (#143)

BenchmarkClaude 2DeepSeek-V3
LMArena Non-English—1358
LMArena Chinese—1391
LMArena French—1385
LMArena German—1374
LMArena Japanese—1333
LMArena Korean—1319
LMArena Russian—1373
LMArena Spanish—1358

Instruction Following Not comparable

Claude 2: —, DeepSeek-V3: 72.8 (#130)

BenchmarkClaude 2DeepSeek-V3
LiveBench Instruction Following—81.5%
IFEval—83.2%
LMArena Instruction Following—1345

Long Context Not comparable

Claude 2: —, DeepSeek-V3: 34.0 (#253)

BenchmarkClaude 2DeepSeek-V3
Fiction.LiveBench—50%
LMArena Longer Query—1352

Writing & Preference Not comparable

Claude 2: —, DeepSeek-V3: 57.4 (#130)

BenchmarkClaude 2DeepSeek-V3
LMArena Text—1375
LMArena Creative Writing—1364
Short-Story Creative Writing—77%
EQ-Bench Creative Writing—1472
WildBench—83%
LMArena Multi-Turn—1389
LiveBench Language—49.1%

Frequently asked questions

Is Claude 2 better than DeepSeek-V3?

DeepSeek-V3 is the stronger model overall, scoring 39.5 to 25.0 on the Noometry Index.

How many benchmarks do Claude 2 and DeepSeek-V3 share?

8 benchmarks have published results for both models. Claude 2 has 8 scored results on Noometry and DeepSeek-V3 has 60.

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