Model comparison

DeepSeek-R1 vs Hunyuan Large 2025 02 10

DeepSeek-R1 is the stronger model overall, scoring 42.0 to 38.0 on the Noometry Index.

Last verified . 12 shared benchmarks.

DeepSeek-R1 DeepSeek

42.0

Rank #110 Confirmed

Hunyuan Large 2025 02 10 Tencent

38.0

Rank #183 Confirmed

Summary

  • They share 12 benchmarks with published results for both. DeepSeek-R1 scores higher in 7 categories and Hunyuan Large 2025 02 10 in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where DeepSeek-R1 leads 61.5 to 48.9.

Side by side

DeepSeek-R1 and Hunyuan Large 2025 02 10 specifications
DeepSeek-R1Hunyuan Large 2025 02 10
ProviderDeepSeekTencent
Noometry Index42.038.0
Released2025-01-20—
WeightsProprietaryProprietary
Context window164K—
Max output64K—
Input $ / M tokens$0.50—
Output $ / M tokens$2.15—
Results tracked5212

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Category by category

Coding DeepSeek-R1 leads

DeepSeek-R1: 45.9 (#63), Hunyuan Large 2025 02 10: 37.6 (#177)

Coding benchmarks
BenchmarkDeepSeek-R1Hunyuan Large 2025 02 10
LMArena Coding14271307
Aider Polyglot71.4%—
SciCode35.7%—
WeirdML41.6%—
LiveBench Coding66.7%—
ALE-Bench804.12—
AlgoTune1.7—

Agentic & Tool Use Not comparable

DeepSeek-R1: 30.4 (#68), Hunyuan Large 2025 02 10: —

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-R1Hunyuan Large 2025 02 10
DeepResearch Bench35.1%—
BALROG34.9%—
METR Time Horizons53.8%—

Reasoning Hunyuan Large 2025 02 10 leads

DeepSeek-R1: 18.7 (#253), Hunyuan Large 2025 02 10: 24.5 (#147)

Reasoning benchmarks
BenchmarkDeepSeek-R1Hunyuan Large 2025 02 10
LMArena Hard Prompts14151286
ARC-AGI-21.3%—
SimpleBench40.8%—
Kagi LLM Benchmark69.4%—
ARC-AGI-121.2%—
CritPt1.1%—
LiveBench Reasoning83.2%—
LiveBench Data Analysis69.8%—
Epoch Capabilities Index141.3—
ForecastBench60—
LiveBench71.6%—

Math DeepSeek-R1 leads

DeepSeek-R1: 42.0 (#70), Hunyuan Large 2025 02 10: 33.1 (#178)

Math benchmarks
BenchmarkDeepSeek-R1Hunyuan Large 2025 02 10
LMArena Math14011281
OTIS Mock AIME 2024-202566.4%—
Omni-MATH42.4%—
LiveBench Math80.7%—
MATH Level 596.6%—

Knowledge DeepSeek-R1 leads

DeepSeek-R1: 44.3 (#81), Hunyuan Large 2025 02 10: 34.5 (#188)

Knowledge benchmarks
BenchmarkDeepSeek-R1Hunyuan Large 2025 02 10
LMArena Expert13941276
GPQA Diamond76.3%—
MMLU-Pro79.3%—
Confabulations12.7%—
Vectara Hallucination Rate11.3%—
GPQA (HELM)66.6%—

Multilingual DeepSeek-R1 leads

DeepSeek-R1: 52.6 (#80), Hunyuan Large 2025 02 10: 42.1 (#195)

Multilingual benchmarks
BenchmarkDeepSeek-R1Hunyuan Large 2025 02 10
LMArena Non-English14121265
LMArena Chinese14431346
LMArena Russian14231266
LMArena French1415—
LMArena German1405—
LMArena Japanese1394—
LMArena Korean1359—
LMArena Spanish1410—

Instruction Following DeepSeek-R1 leads

DeepSeek-R1: 72.2 (#138), Hunyuan Large 2025 02 10: 67.6 (#192)

Instruction Following benchmarks
BenchmarkDeepSeek-R1Hunyuan Large 2025 02 10
LMArena Instruction Following13821277
LiveBench Instruction Following80.5%—
IFEval78.4%—

Long Context DeepSeek-R1 leads

DeepSeek-R1: 45.4 (#36), Hunyuan Large 2025 02 10: 40.8 (#144)

Long Context benchmarks
BenchmarkDeepSeek-R1Hunyuan Large 2025 02 10
LMArena Longer Query13911342
Fiction.LiveBench75%—

Writing & Preference DeepSeek-R1 leads

DeepSeek-R1: 61.5 (#84), Hunyuan Large 2025 02 10: 48.9 (#191)

Writing & Preference benchmarks
BenchmarkDeepSeek-R1Hunyuan Large 2025 02 10
LMArena Text14281288
LMArena Creative Writing14061264
LMArena Multi-Turn14041284
Short-Story Creative Writing83%—
EQ-Bench Creative Writing1500—
WildBench82.8%—
LiveBench Language48.5%—

Frequently asked questions

Is DeepSeek-R1 better than Hunyuan Large 2025 02 10?

DeepSeek-R1 is the stronger model overall, scoring 42.0 to 38.0 on the Noometry Index.

Is DeepSeek-R1 or Hunyuan Large 2025 02 10 better for coding?

DeepSeek-R1 scores higher on coding benchmarks: 45.9 versus 37.6 in the Noometry coding category.

How many benchmarks do DeepSeek-R1 and Hunyuan Large 2025 02 10 share?

12 benchmarks have published results for both models. DeepSeek-R1 has 52 scored results on Noometry and Hunyuan Large 2025 02 10 has 12.

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