Model comparison

DeepSeek-R1 vs Grok 4.1

DeepSeek-R1 is the stronger model overall, scoring 42.0 to 40.8 on the Noometry Index.

Last verified . 17 shared benchmarks.

DeepSeek-R1 DeepSeek

42.0

Rank #110 Confirmed

Grok 4.1 xAI

40.8

Rank #135 Confirmed

Summary

  • They share 17 benchmarks with published results for both. DeepSeek-R1 scores higher in 4 categories and Grok 4.1 in 5 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where DeepSeek-R1 leads 45.9 to 33.4.

Side by side

DeepSeek-R1 and Grok 4.1 specifications
DeepSeek-R1Grok 4.1
ProviderDeepSeekxAI
Noometry Index42.040.8
Released2025-01-202025-11-17
WeightsProprietaryProprietary
Context window164K—
Max output64K—
Input $ / M tokens$0.50—
Output $ / M tokens$2.15—
Results tracked5219

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Category by category

Coding DeepSeek-R1 leads

DeepSeek-R1: 45.9 (#63), Grok 4.1: 33.4 (#246)

Coding benchmarks
BenchmarkDeepSeek-R1Grok 4.1
LMArena Coding14271445
Aider Polyglot71.4%—
LMArena WebDev—1214
SciCode35.7%—
WeirdML41.6%—
LiveBench Coding66.7%—
ALE-Bench804.12—
AlgoTune1.7—

Agentic & Tool Use Grok 4.1 leads

DeepSeek-R1: 30.4 (#68), Grok 4.1: 33.8 (#47)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-R1Grok 4.1
Cybench—39%
DeepResearch Bench35.1%—
BALROG34.9%—
METR Time Horizons53.8%—

Reasoning Grok 4.1 leads

DeepSeek-R1: 18.7 (#253), Grok 4.1: 28.3 (#91)

Reasoning benchmarks
BenchmarkDeepSeek-R1Grok 4.1
LMArena Hard Prompts14151436
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), Grok 4.1: 36.2 (#124)

Math benchmarks
BenchmarkDeepSeek-R1Grok 4.1
LMArena Math14011422
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), Grok 4.1: 38.9 (#129)

Knowledge benchmarks
BenchmarkDeepSeek-R1Grok 4.1
LMArena Expert13941417
GPQA Diamond76.3%—
MMLU-Pro79.3%—
Confabulations12.7%—
Vectara Hallucination Rate11.3%—
GPQA (HELM)66.6%—

Multilingual Too close to call

DeepSeek-R1: 52.6 (#80), Grok 4.1: 53.6 (#64)

Multilingual benchmarks
BenchmarkDeepSeek-R1Grok 4.1
LMArena Non-English14121425
LMArena Chinese14431464
LMArena French14151448
LMArena German14051447
LMArena Japanese13941396
LMArena Korean13591407
LMArena Russian14231434
LMArena Spanish14101438

Instruction Following Grok 4.1 leads

DeepSeek-R1: 72.2 (#138), Grok 4.1: 74.0 (#106)

Instruction Following benchmarks
BenchmarkDeepSeek-R1Grok 4.1
LMArena Instruction Following13821400
LiveBench Instruction Following80.5%—
IFEval78.4%—

Long Context DeepSeek-R1 leads

DeepSeek-R1: 45.4 (#36), Grok 4.1: 43.2 (#96)

Long Context benchmarks
BenchmarkDeepSeek-R1Grok 4.1
LMArena Longer Query13911416
Fiction.LiveBench75%—

Writing & Preference Grok 4.1 leads

DeepSeek-R1: 61.5 (#84), Grok 4.1: 62.6 (#71)

Writing & Preference benchmarks
BenchmarkDeepSeek-R1Grok 4.1
LMArena Text14281437
LMArena Creative Writing14061411
LMArena Multi-Turn14041438
Short-Story Creative Writing83%—
EQ-Bench Creative Writing1500—
WildBench82.8%—
LiveBench Language48.5%—

Frequently asked questions

Is DeepSeek-R1 better than Grok 4.1?

DeepSeek-R1 is the stronger model overall, scoring 42.0 to 40.8 on the Noometry Index.

Is DeepSeek-R1 or Grok 4.1 better for coding?

DeepSeek-R1 scores higher on coding benchmarks: 45.9 versus 33.4 in the Noometry coding category.

How many benchmarks do DeepSeek-R1 and Grok 4.1 share?

17 benchmarks have published results for both models. DeepSeek-R1 has 52 scored results on Noometry and Grok 4.1 has 19.

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