Noometry

Model comparison

DeepSeek LLM 67B vs Grok 4.7

Grok 4.7 is the stronger model overall, scoring 53.1 to 24.9 on the Noometry Index.

Last verified . 14 shared benchmarks.

DeepSeek LLM 67B DeepSeek

24.9

Rank #347 Confirmed

Grok 4.7 xAI

53.1

Rank #37 Confirmed

Summary

  • They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Grok 4.7 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Grok 4.7 leads 62.8 to 7.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 98.1% for Grok 4.7.
  • DeepSeek LLM 67B has downloadable open weights; the other is API-only.

Side by side

DeepSeek LLM 67BGrok 4.7
ProviderDeepSeekxAI
Noometry Index24.953.1
Released2023-11-292026-09-21
WeightsOpenProprietary
Context window—500K
Max output—500K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked1539

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Category by category

Coding Grok 4.7 leads

DeepSeek LLM 67B: 31.9 (#278), Grok 4.7: 58.0 (#18)

BenchmarkDeepSeek LLM 67BGrok 4.7
LMArena Coding10961427
FrontierCode—47.6%
CursorBench—46.3%
LMArena WebDev—1639
FrontierSWE—29.5%
SciCode—57.8%

Agentic & Tool Use Not comparable

DeepSeek LLM 67B: —, Grok 4.7: 36.7 (#37)

BenchmarkDeepSeek LLM 67BGrok 4.7
APEX-Agents—54.6%
GDP.pdf—22.8%
Vending-Bench 2—10,537

Reasoning Grok 4.7 leads

DeepSeek LLM 67B: 16.5 (#304), Grok 4.7: 49.1 (#40)

BenchmarkDeepSeek LLM 67BGrok 4.7
Chess Puzzles0%38%
LMArena Hard Prompts10701413
Epoch Capabilities Index110.5153.53
NYT Connections (extended)—76.8%
CritPt—18%
Mystery Game Puzzles—29%
DTBench—96%
LMCA—49.4%

Math Grok 4.7 leads

DeepSeek LLM 67B: 8.7 (#324), Grok 4.7: 57.8 (#39)

BenchmarkDeepSeek LLM 67BGrok 4.7
OTIS Mock AIME 2024-20250.8%98.1%
LMArena Math11081407
FrontierMath (Tiers 1-3)—53%
FrontierMath Tier 4—17.1%
ProofBench—34%
MATH Level 56.4%—

Knowledge Grok 4.7 leads

DeepSeek LLM 67B: 7.0 (#313), Grok 4.7: 62.8 (#22)

BenchmarkDeepSeek LLM 67BGrok 4.7
GPQA Diamond24.6%92.7%
SimpleQA Verified—56%
LMArena Expert—1422

Multimodal Not comparable

DeepSeek LLM 67B: —, Grok 4.7: 35.5 (#87)

BenchmarkDeepSeek LLM 67BGrok 4.7
LMArena Vision—1228
Blueprint-Bench 2—32.5%
Furniture Assembly—20.8%

Multilingual Grok 4.7 leads

DeepSeek LLM 67B: 29.4 (#267), Grok 4.7: 50.8 (#116)

BenchmarkDeepSeek LLM 67BGrok 4.7
LMArena Non-English10731389
LMArena Chinese11321455
LMArena French—1455
LMArena Russian—1397
LMArena Spanish—1400

Instruction Following Grok 4.7 leads

DeepSeek LLM 67B: 55.4 (#277), Grok 4.7: 74.1 (#105)

BenchmarkDeepSeek LLM 67BGrok 4.7
LMArena Instruction Following10791404

Long Context Grok 4.7 leads

DeepSeek LLM 67B: 33.1 (#265), Grok 4.7: 43.1 (#104)

BenchmarkDeepSeek LLM 67BGrok 4.7
LMArena Longer Query10921413

Writing & Preference Grok 4.7 leads

DeepSeek LLM 67B: 31.6 (#282), Grok 4.7: 70.0 (#24)

BenchmarkDeepSeek LLM 67BGrok 4.7
LMArena Text11051399
LMArena Creative Writing10671391
LMArena Multi-Turn10821393
EQ-Bench Creative Writing—2007

Frequently asked questions

Is DeepSeek LLM 67B better than Grok 4.7?

Grok 4.7 is the stronger model overall, scoring 53.1 to 24.9 on the Noometry Index.

Is DeepSeek LLM 67B or Grok 4.7 better for coding?

Grok 4.7 scores higher on coding benchmarks: 58.0 versus 31.9 in the Noometry coding category.

How many benchmarks do DeepSeek LLM 67B and Grok 4.7 share?

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Grok 4.7 has 39.

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