Noometry

Model comparison

Claude 3 Sonnet vs DeepSeek-V3.1-Terminus

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 29.0 on the Noometry Index.

Last verified . 11 shared benchmarks.

Claude 3 Sonnet Anthropic

29.0

Rank #319 Confirmed

DeepSeek-V3.1-Terminus DeepSeek

43.1

Rank #97 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Claude 3 Sonnet scores higher in 0 categories and DeepSeek-V3.1-Terminus in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek-V3.1-Terminus leads 38.5 to 10.7.
  • The biggest single-benchmark swing is DTBench: 53.6% for Claude 3 Sonnet and 81.3% for DeepSeek-V3.1-Terminus.
  • DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

Side by side

Claude 3 SonnetDeepSeek-V3.1-Terminus
ProviderAnthropicDeepSeek
Noometry Index29.043.1
Released2024-02-292025-09-22
WeightsProprietaryOpen
Context window—164K
Max output—147K
Input $ / M tokens—$0.27
Output $ / M tokens—$1
Results tracked3016

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Category by category

Coding DeepSeek-V3.1-Terminus leads

Claude 3 Sonnet: 29.6 (#302), DeepSeek-V3.1-Terminus: 42.0 (#113)

BenchmarkClaude 3 SonnetDeepSeek-V3.1-Terminus
LMArena Coding12231426
SciCode—40.6%
WeirdML10.2%—
BigCodeBench Instruct42.7%—
BigCodeBench Complete53.8%—
ALE-Bench—745.17
HumanEval+64%—
MBPP+69.3%—

Reasoning DeepSeek-V3.1-Terminus leads

Claude 3 Sonnet: 20.5 (#237), DeepSeek-V3.1-Terminus: 26.4 (#133)

BenchmarkClaude 3 SonnetDeepSeek-V3.1-Terminus
LMArena Hard Prompts11971426
DTBench53.6%81.3%
Kagi LLM Benchmark—57.4%
CritPt—1.7%
LMCA—28.6%
Epoch Capabilities Index120.7—
WinoGrande75.1%—

Math DeepSeek-V3.1-Terminus leads

Claude 3 Sonnet: 10.7 (#310), DeepSeek-V3.1-Terminus: 38.5 (#137)

BenchmarkClaude 3 SonnetDeepSeek-V3.1-Terminus
LMArena Math12131402
OTIS Mock AIME 2024-20252.5%—
MATH Level 518.2%—

Knowledge Not comparable

Claude 3 Sonnet: 21.1 (#276), DeepSeek-V3.1-Terminus: —

BenchmarkClaude 3 SonnetDeepSeek-V3.1-Terminus
GPQA Diamond40.6%—
LMArena Expert1173—
MMLU75.9%—

Multimodal Not comparable

Claude 3 Sonnet: 25.2 (#125), DeepSeek-V3.1-Terminus: —

BenchmarkClaude 3 SonnetDeepSeek-V3.1-Terminus
LMArena Vision984—

Multilingual DeepSeek-V3.1-Terminus leads

Claude 3 Sonnet: 37.8 (#234), DeepSeek-V3.1-Terminus: 52.1 (#92)

BenchmarkClaude 3 SonnetDeepSeek-V3.1-Terminus
LMArena Non-English12051407
LMArena Russian12271436
LMArena Chinese1189—
LMArena French1229—
LMArena German1204—
LMArena Japanese1131—
LMArena Korean1128—
LMArena Spanish1204—

Instruction Following DeepSeek-V3.1-Terminus leads

Claude 3 Sonnet: 62.8 (#235), DeepSeek-V3.1-Terminus: 74.0 (#106)

BenchmarkClaude 3 SonnetDeepSeek-V3.1-Terminus
LMArena Instruction Following11991404

Long Context DeepSeek-V3.1-Terminus leads

Claude 3 Sonnet: 36.7 (#228), DeepSeek-V3.1-Terminus: 43.4 (#97)

BenchmarkClaude 3 SonnetDeepSeek-V3.1-Terminus
LMArena Longer Query12111421

Writing & Preference DeepSeek-V3.1-Terminus leads

Claude 3 Sonnet: 42.1 (#238), DeepSeek-V3.1-Terminus: 61.0 (#92)

BenchmarkClaude 3 SonnetDeepSeek-V3.1-Terminus
LMArena Text12181419
LMArena Creative Writing11861403
LMArena Multi-Turn12271411

Frequently asked questions

Is Claude 3 Sonnet better than DeepSeek-V3.1-Terminus?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 29.0 on the Noometry Index.

Is Claude 3 Sonnet or DeepSeek-V3.1-Terminus better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 29.6 in the Noometry coding category.

How many benchmarks do Claude 3 Sonnet and DeepSeek-V3.1-Terminus share?

11 benchmarks have published results for both models. Claude 3 Sonnet has 30 scored results on Noometry and DeepSeek-V3.1-Terminus has 16.

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