Noometry

Model comparison

DeepSeek LLM 67B vs Grok 4

Grok 4 is the stronger model overall, scoring 48.1 to 24.9 on the Noometry Index.

Last verified . 14 shared benchmarks.

DeepSeek LLM 67B DeepSeek

24.9

Rank #347 Confirmed

Grok 4 xAI

48.1

Rank #56 Confirmed

Summary

  • They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Grok 4 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Grok 4 leads 53.8 to 7.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 84% for Grok 4.
  • DeepSeek LLM 67B has downloadable open weights; the other is API-only.

Side by side

DeepSeek LLM 67BGrok 4
ProviderDeepSeekxAI
Noometry Index24.948.1
Released2023-11-292025-07-09
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked1548

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Category by category

Coding Grok 4 leads

DeepSeek LLM 67B: 31.9 (#278), Grok 4: 50.3 (#46)

BenchmarkDeepSeek LLM 67BGrok 4
LMArena Coding10961408
Aider Polyglot—79.6%
WeirdML—45.7%

Agentic & Tool Use Not comparable

DeepSeek LLM 67B: —, Grok 4: 32.3 (#68)

BenchmarkDeepSeek LLM 67BGrok 4
Terminal-Bench—27.2%
Berkeley Function Calling Leaderboard—63%
GDPval—21.1%
Cybench—43%
DeepResearch Bench—47.3%
BALROG—43.6%
LMArena Search—1142
METR Time Horizons—66.6%

Reasoning Grok 4 leads

DeepSeek LLM 67B: 16.5 (#304), Grok 4: 36.7 (#65)

BenchmarkDeepSeek LLM 67BGrok 4
Chess Puzzles0%28%
LMArena Hard Prompts10701409
Epoch Capabilities Index110.5146.44
ARC-AGI-2—16%
SimpleBench—60.5%
Kagi LLM Benchmark—73.6%
ARC-AGI-1—66.7%
ForecastBench—60.9

Math Grok 4 leads

DeepSeek LLM 67B: 8.7 (#324), Grok 4: 48.4 (#64)

BenchmarkDeepSeek LLM 67BGrok 4
OTIS Mock AIME 2024-20250.8%84%
LMArena Math11081422
Omni-MATH—60.3%
MATH Level 56.4%—
FrontierMath (Feb 2025 set)—19.7%
FrontierMath Tier 4 (v1)—2.1%

Knowledge Grok 4 leads

DeepSeek LLM 67B: 7.0 (#313), Grok 4: 53.8 (#55)

BenchmarkDeepSeek LLM 67BGrok 4
GPQA Diamond24.6%87%
MMLU-Pro—85.1%
Confabulations—12.4%
GPQA (HELM)—72.7%
LMArena Expert—1415

Multimodal Not comparable

DeepSeek LLM 67B: —, Grok 4: 33.7 (#94)

BenchmarkDeepSeek LLM 67BGrok 4
LMArena Vision—1210
GeoBench—45%

Multilingual Grok 4 leads

DeepSeek LLM 67B: 29.4 (#267), Grok 4: 51.8 (#103)

BenchmarkDeepSeek LLM 67BGrok 4
LMArena Non-English10731403
LMArena Chinese11321427
LMArena French—1418
LMArena German—1429
LMArena Japanese—1394
LMArena Korean—1377
LMArena Russian—1410
LMArena Spanish—1420

Instruction Following Grok 4 leads

DeepSeek LLM 67B: 55.4 (#277), Grok 4: 79.2 (#5)

BenchmarkDeepSeek LLM 67BGrok 4
LMArena Instruction Following10791387
IFEval—94.9%

Long Context Grok 4 leads

DeepSeek LLM 67B: 33.1 (#265), Grok 4: 63.1 (#4)

BenchmarkDeepSeek LLM 67BGrok 4
LMArena Longer Query10921409
Fiction.LiveBench—94.4%

Writing & Preference Grok 4 leads

DeepSeek LLM 67B: 31.6 (#282), Grok 4: 58.5 (#116)

BenchmarkDeepSeek LLM 67BGrok 4
LMArena Text11051411
LMArena Creative Writing10671397
LMArena Multi-Turn10821416
Short-Story Creative Writing—76.9%
WildBench—79.7%

Frequently asked questions

Is DeepSeek LLM 67B better than Grok 4?

Grok 4 is the stronger model overall, scoring 48.1 to 24.9 on the Noometry Index.

Is DeepSeek LLM 67B or Grok 4 better for coding?

Grok 4 scores higher on coding benchmarks: 50.3 versus 31.9 in the Noometry coding category.

How many benchmarks do DeepSeek LLM 67B and Grok 4 share?

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Grok 4 has 48.

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