Noometry

Model comparison

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

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 33.7 on the Noometry Index.

Last verified . 11 shared benchmarks.

DeepSeek-V3.1-Terminus DeepSeek

43.1

Rank #97 Confirmed

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Summary

  • They share 11 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Grok-2 (Dec 2024) in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek-V3.1-Terminus leads 38.5 to 20.8.
  • The biggest single-benchmark swing is DTBench: 81.3% for DeepSeek-V3.1-Terminus and 65.2% for Grok-2 (Dec 2024).
  • DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1-TerminusGrok-2 (Dec 2024)
ProviderDeepSeekxAI
Noometry Index43.133.7
Released2025-09-222024-08-13
WeightsOpenProprietary
Context window164K—
Max output147K—
Input $ / M tokens$0.27—
Output $ / M tokens$1—
Results tracked1634

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Category by category

Coding DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 42.0 (#113), Grok-2 (Dec 2024): 33.3 (#258)

BenchmarkDeepSeek-V3.1-TerminusGrok-2 (Dec 2024)
LMArena Coding14261287
SciCode40.6%—
WeirdML—22.2%
LiveBench Coding—46.4%
ALE-Bench745.17—

Reasoning DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 26.4 (#133), Grok-2 (Dec 2024): 16.9 (#299)

BenchmarkDeepSeek-V3.1-TerminusGrok-2 (Dec 2024)
LMArena Hard Prompts14261272
DTBench81.3%65.2%
SimpleBench—22.7%
Kagi LLM Benchmark57.4%—
CritPt1.7%—
LiveBench Reasoning—54.8%
LiveBench Data Analysis—54.5%
LMCA28.6%—
Epoch Capabilities Index—130.48
LiveBench—54.3%

Math DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 38.5 (#137), Grok-2 (Dec 2024): 20.8 (#284)

BenchmarkDeepSeek-V3.1-TerminusGrok-2 (Dec 2024)
LMArena Math14021283
OTIS Mock AIME 2024-2025—11.5%
LiveBench Math—54.9%
MATH Level 5—63.5%
FrontierMath (Feb 2025 set)—0.7%

Knowledge Not comparable

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

BenchmarkDeepSeek-V3.1-TerminusGrok-2 (Dec 2024)
GPQA Diamond—53.8%
Confabulations—20.1%
LMArena Expert—1254

Multilingual DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 52.1 (#92), Grok-2 (Dec 2024): 43.1 (#188)

BenchmarkDeepSeek-V3.1-TerminusGrok-2 (Dec 2024)
LMArena Non-English14071282
LMArena Russian14361286
LMArena Chinese—1289
LMArena French—1318
LMArena German—1287
LMArena Japanese—1244
LMArena Korean—1237
LMArena Spanish—1281

Instruction Following DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 74.0 (#106), Grok-2 (Dec 2024): 66.9 (#202)

BenchmarkDeepSeek-V3.1-TerminusGrok-2 (Dec 2024)
LMArena Instruction Following14041270
LiveBench Instruction Following—69.6%

Long Context DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 43.4 (#97), Grok-2 (Dec 2024): 38.8 (#190)

BenchmarkDeepSeek-V3.1-TerminusGrok-2 (Dec 2024)
LMArena Longer Query14211276

Writing & Preference DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 61.0 (#92), Grok-2 (Dec 2024): 48.6 (#198)

BenchmarkDeepSeek-V3.1-TerminusGrok-2 (Dec 2024)
LMArena Text14191305
LMArena Creative Writing14031284
LMArena Multi-Turn14111290
Short-Story Creative Writing—63.6%
LiveBench Language—45.6%

Frequently asked questions

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

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 33.7 on the Noometry Index.

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

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 33.3 in the Noometry coding category.

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

11 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Grok-2 (Dec 2024) has 34.

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