Model comparison

DeepSeek-R1 vs Hunyuan Turbos 20250226

DeepSeek-R1 is the stronger model overall, scoring 42.3 to 41.3 on the Noometry Index.

Last verified . 16 shared benchmarks.

DeepSeek-R1 DeepSeek

42.3

Rank #115 Confirmed

Hunyuan Turbos 20250226 Tencent

41.3

Rank #139 Confirmed

Summary

  • They share 16 benchmarks with published results for both. DeepSeek-R1 scores higher in 7 categories and Hunyuan Turbos 20250226 in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Hunyuan Turbos 20250226 leads 27.8 to 18.6.

Side by side

DeepSeek-R1 and Hunyuan Turbos 20250226 specifications
DeepSeek-R1Hunyuan Turbos 20250226
ProviderDeepSeekTencent
Noometry Index42.341.3
Released2025-01-20—
WeightsProprietaryProprietary
Context window164K—
Max output64K—
Input $ / M tokens$0.50—
Output $ / M tokens$2.15—
Results tracked5216

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Category by category

Coding DeepSeek-R1 leads

DeepSeek-R1: 46.3 (#68), Hunyuan Turbos 20250226: 40.0 (#152)

Coding benchmarks
BenchmarkDeepSeek-R1Hunyuan Turbos 20250226
LMArena Coding14271361
Aider Polyglot71.4%—
SciCode35.7%—
WeirdML41.6%—
LiveBench Coding66.7%—
ALE-Bench804.12—
AlgoTune1.7—

Agentic & Tool Use Not comparable

DeepSeek-R1: 30.7 (#75), Hunyuan Turbos 20250226: —

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-R1Hunyuan Turbos 20250226
DeepResearch Bench35.1%—
BALROG34.9%—
METR Time Horizons53.8%—

Reasoning Hunyuan Turbos 20250226 leads

DeepSeek-R1: 18.6 (#278), Hunyuan Turbos 20250226: 27.8 (#113)

Reasoning benchmarks
BenchmarkDeepSeek-R1Hunyuan Turbos 20250226
LMArena Hard Prompts14161374
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 Index141.29—
ForecastBench60—
LiveBench71.6%—

Math DeepSeek-R1 leads

DeepSeek-R1: 43.8 (#79), Hunyuan Turbos 20250226: 37.5 (#154)

Math benchmarks
BenchmarkDeepSeek-R1Hunyuan Turbos 20250226
LMArena Math14001359
OTIS Mock AIME 2024-202566.4%—
Omni-MATH42.4%—
LiveBench Math80.7%—
MATH Level 596.6%—

Knowledge DeepSeek-R1 leads

DeepSeek-R1: 44.5 (#87), Hunyuan Turbos 20250226: 37.0 (#161)

Knowledge benchmarks
BenchmarkDeepSeek-R1Hunyuan Turbos 20250226
LMArena Expert13941339
GPQA Diamond76.3%—
MMLU-Pro79.3%—
Confabulations12.7%—
Vectara Hallucination Rate11.3%—
GPQA (HELM)66.6%—

Multilingual DeepSeek-R1 leads

DeepSeek-R1: 52.4 (#85), Hunyuan Turbos 20250226: 48.9 (#136)

Multilingual benchmarks
BenchmarkDeepSeek-R1Hunyuan Turbos 20250226
LMArena Non-English14121363
LMArena Chinese14421417
LMArena French14171391
LMArena German14041355
LMArena Japanese13911342
LMArena Korean13601351
LMArena Russian14231368
LMArena Spanish1411—

Instruction Following Too close to call

DeepSeek-R1: 72.0 (#143), Hunyuan Turbos 20250226: 71.0 (#158)

Instruction Following benchmarks
BenchmarkDeepSeek-R1Hunyuan Turbos 20250226
LMArena Instruction Following13821344
LiveBench Instruction Following80.5%—
IFEval78.4%—

Long Context DeepSeek-R1 leads

DeepSeek-R1: 45.4 (#36), Hunyuan Turbos 20250226: 41.6 (#136)

Long Context benchmarks
BenchmarkDeepSeek-R1Hunyuan Turbos 20250226
LMArena Longer Query13911366
Fiction.LiveBench75%—

Writing & Preference DeepSeek-R1 leads

DeepSeek-R1: 61.4 (#88), Hunyuan Turbos 20250226: 57.4 (#128)

Writing & Preference benchmarks
BenchmarkDeepSeek-R1Hunyuan Turbos 20250226
LMArena Text14281377
LMArena Creative Writing14051359
LMArena Multi-Turn14051387
Short-Story Creative Writing83%—
EQ-Bench Creative Writing1500—
WildBench82.8%—
LiveBench Language48.5%—

Frequently asked questions

Is DeepSeek-R1 better than Hunyuan Turbos 20250226?

DeepSeek-R1 is the stronger model overall, scoring 42.3 to 41.3 on the Noometry Index.

Is DeepSeek-R1 or Hunyuan Turbos 20250226 better for coding?

DeepSeek-R1 scores higher on coding benchmarks: 46.3 versus 40.0 in the Noometry coding category.

How many benchmarks do DeepSeek-R1 and Hunyuan Turbos 20250226 share?

16 benchmarks have published results for both models. DeepSeek-R1 has 52 scored results on Noometry and Hunyuan Turbos 20250226 has 16.

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