Noometry

Model comparison

DeepSeek-V3.2-Exp vs Grok 4.1

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 41.5 on the Noometry Index.

Last verified . 18 shared benchmarks.

DeepSeek-V3.2-Exp DeepSeek

44.3

Rank #78 Confirmed

Grok 4.1 xAI

41.5

Rank #134 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DeepSeek-V3.2-Exp scores higher in 5 categories and Grok 4.1 in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where DeepSeek-V3.2-Exp leads 46.5 to 33.7.
  • DeepSeek-V3.2-Exp has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.2-ExpGrok 4.1
ProviderDeepSeekxAI
Noometry Index44.341.5
Released2025-09-292025-11-17
WeightsOpenProprietary
Context window164K—
Max output66K—
Input $ / M tokens$0.26—
Output $ / M tokens$0.38—
Results tracked4919

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Category by category

Coding DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 46.5 (#65), Grok 4.1: 33.7 (#253)

BenchmarkDeepSeek-V3.2-ExpGrok 4.1
LMArena WebDev13621214
LMArena Coding14541445
SWE-bench Verified (bash only)70%—
Aider Polyglot74.2%—
SWE-bench Multilingual59%—
SciCode38.9%—
WeirdML39.5%—

Agentic & Tool Use Grok 4.1 leads

DeepSeek-V3.2-Exp: 32.7 (#59), Grok 4.1: 34.1 (#49)

BenchmarkDeepSeek-V3.2-ExpGrok 4.1
Terminal-Bench39.6%—
APEX-Agents21.3%—
Berkeley Function Calling Leaderboard56.7%—
TheAgentCompany42.9%—
Cybench—39%
Vending-Bench 21,034—

Reasoning Grok 4.1 leads

DeepSeek-V3.2-Exp: 22.1 (#208), Grok 4.1: 29.5 (#91)

BenchmarkDeepSeek-V3.2-ExpGrok 4.1
LMArena Hard Prompts14341435
ARC-AGI-24%—
Kagi LLM Benchmark52.2%—
NYT Connections (extended)36.7%—
ARC-AGI-157%—
CritPt2.9%—
Chess Puzzles14%—
Thematic Generalization65%—
DTBench87.7%—
LMCA29.1%—
Epoch Capabilities Index146.27—

Math DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 41.7 (#87), Grok 4.1: 38.9 (#120)

BenchmarkDeepSeek-V3.2-ExpGrok 4.1
LMArena Math14351422
MathArena Final-Answer Competitions57.7%—
OTIS Mock AIME 2024-202587.8%—
ProofBench8%—
FrontierMath (Feb 2025 set)22.1%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 51.7 (#66), Grok 4.1: 39.5 (#133)

BenchmarkDeepSeek-V3.2-ExpGrok 4.1
LMArena Expert14361417
GPQA Diamond83.4%—
Vectara Hallucination Rate5.3%—

Multilingual Grok 4.1 leads

DeepSeek-V3.2-Exp: 52.2 (#90), Grok 4.1: 53.4 (#68)

BenchmarkDeepSeek-V3.2-ExpGrok 4.1
LMArena Non-English14091425
LMArena Chinese14611465
LMArena French14331448
LMArena German14401446
LMArena Japanese13741397
LMArena Korean13711407
LMArena Russian14241434
LMArena Spanish14401438

Instruction Following Too close to call

DeepSeek-V3.2-Exp: 74.5 (#93), Grok 4.1: 73.8 (#111)

BenchmarkDeepSeek-V3.2-ExpGrok 4.1
LMArena Instruction Following14131400

Long Context DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 47.6 (#16), Grok 4.1: 43.2 (#100)

BenchmarkDeepSeek-V3.2-ExpGrok 4.1
LMArena Longer Query14281416
Fiction.LiveBench83.3%—
CL-bench13.2%—
CL-bench Life9.5%—

Writing & Preference Too close to call

DeepSeek-V3.2-Exp: 62.4 (#77), Grok 4.1: 62.4 (#75)

BenchmarkDeepSeek-V3.2-ExpGrok 4.1
LMArena Text14251437
LMArena Creative Writing14031411
LMArena Multi-Turn14271437
EQ-Bench Creative Writing1515—

Frequently asked questions

Is DeepSeek-V3.2-Exp better than Grok 4.1?

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 41.5 on the Noometry Index.

Is DeepSeek-V3.2-Exp or Grok 4.1 better for coding?

DeepSeek-V3.2-Exp scores higher on coding benchmarks: 46.5 versus 33.7 in the Noometry coding category.

How many benchmarks do DeepSeek-V3.2-Exp and Grok 4.1 share?

18 benchmarks have published results for both models. DeepSeek-V3.2-Exp has 49 scored results on Noometry and Grok 4.1 has 19.

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