Noometry

Model comparison

DeepSeek-V3.1 vs Grok-2 (Dec 2024)

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 33.7 on the Noometry Index.

Last verified . 21 shared benchmarks.

DeepSeek-V3.1 DeepSeek

42.8

Rank #108 Confirmed

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Summary

  • They share 21 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and Grok-2 (Dec 2024) in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek-V3.1 leads 38.9 to 20.8.
  • The biggest single-benchmark swing is DTBench: 82.7% for DeepSeek-V3.1 and 65.2% for Grok-2 (Dec 2024).
  • DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1Grok-2 (Dec 2024)
ProviderDeepSeekxAI
Noometry Index42.833.7
Released2025-08-212024-08-13
WeightsOpenProprietary
Context window164K—
Max output8K—
Input $ / M tokens$0.25—
Output $ / M tokens$0.95—
Results tracked2734

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding DeepSeek-V3.1 leads

DeepSeek-V3.1: 40.3 (#144), Grok-2 (Dec 2024): 33.3 (#258)

BenchmarkDeepSeek-V3.1Grok-2 (Dec 2024)
WeirdML38.4%22.2%
LMArena Coding14171287
LiveBench Coding—46.4%

Reasoning DeepSeek-V3.1 leads

DeepSeek-V3.1: 27.9 (#110), Grok-2 (Dec 2024): 16.9 (#299)

BenchmarkDeepSeek-V3.1Grok-2 (Dec 2024)
SimpleBench40%22.7%
LMArena Hard Prompts14171272
DTBench82.7%65.2%
Epoch Capabilities Index139.92130.48
Kagi LLM Benchmark53.2%—
LiveBench Reasoning—54.8%
LiveBench Data Analysis—54.5%
LMCA24.3%—
ForecastBench58—
LiveBench—54.3%

Math DeepSeek-V3.1 leads

DeepSeek-V3.1: 38.9 (#122), Grok-2 (Dec 2024): 20.8 (#284)

BenchmarkDeepSeek-V3.1Grok-2 (Dec 2024)
LMArena Math14201283
OTIS Mock AIME 2024-2025—11.5%
LiveBench Math—54.9%
MATH Level 5—63.5%
FrontierMath (Feb 2025 set)—0.7%

Knowledge DeepSeek-V3.1 leads

DeepSeek-V3.1: 43.7 (#90), Grok-2 (Dec 2024): 29.8 (#233)

BenchmarkDeepSeek-V3.1Grok-2 (Dec 2024)
LMArena Expert14051254
GPQA Diamond—53.8%
Confabulations—20.1%
Vectara Hallucination Rate5.5%—

Multilingual DeepSeek-V3.1 leads

DeepSeek-V3.1: 51.6 (#106), Grok-2 (Dec 2024): 43.1 (#188)

BenchmarkDeepSeek-V3.1Grok-2 (Dec 2024)
LMArena Non-English14001282
LMArena Chinese14691289
LMArena French14471318
LMArena German14111287
LMArena Japanese13781244
LMArena Korean13371237
LMArena Russian14051286
LMArena Spanish14311281

Instruction Following DeepSeek-V3.1 leads

DeepSeek-V3.1: 73.9 (#110), Grok-2 (Dec 2024): 66.9 (#202)

BenchmarkDeepSeek-V3.1Grok-2 (Dec 2024)
LMArena Instruction Following14001270
LiveBench Instruction Following—69.6%

Long Context Grok-2 (Dec 2024) leads

DeepSeek-V3.1: 36.3 (#232), Grok-2 (Dec 2024): 38.8 (#190)

BenchmarkDeepSeek-V3.1Grok-2 (Dec 2024)
LMArena Longer Query14221276
Fiction.LiveBench52.8%—

Writing & Preference DeepSeek-V3.1 leads

DeepSeek-V3.1: 60.3 (#98), Grok-2 (Dec 2024): 48.6 (#198)

BenchmarkDeepSeek-V3.1Grok-2 (Dec 2024)
LMArena Text14201305
LMArena Creative Writing14011284
LMArena Multi-Turn14081290
Short-Story Creative Writing—63.6%
EQ-Bench Creative Writing1436—
LiveBench Language—45.6%

Frequently asked questions

Is DeepSeek-V3.1 better than Grok-2 (Dec 2024)?

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 33.7 on the Noometry Index.

Is DeepSeek-V3.1 or Grok-2 (Dec 2024) better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 33.3 in the Noometry coding category.

How many benchmarks do DeepSeek-V3.1 and Grok-2 (Dec 2024) share?

21 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Grok-2 (Dec 2024) has 34.

Related comparisons

Go deeper