Noometry

Model comparison

DeepSeek-V3.2-Exp vs Granite 4.1 8b

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 37.4 on the Noometry Index.

Last verified . 13 shared benchmarks.

DeepSeek-V3.2-Exp DeepSeek

44.3

Rank #78 Confirmed

Granite 4.1 8b IBM

37.4

Rank #205 Confirmed

Summary

  • They share 13 benchmarks with published results for both. DeepSeek-V3.2-Exp scores higher in 7 categories and Granite 4.1 8b in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where DeepSeek-V3.2-Exp leads 46.5 to 30.1.

Side by side

DeepSeek-V3.2-ExpGranite 4.1 8b
ProviderDeepSeekIBM
Noometry Index44.337.4
Released2025-09-29—
WeightsOpenOpen
Context window164K—
Max output66K—
Input $ / M tokens$0.26—
Output $ / M tokens$0.38—
Results tracked4913

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

Category by category

Coding DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 46.5 (#65), Granite 4.1 8b: 30.1 (#297)

BenchmarkDeepSeek-V3.2-ExpGranite 4.1 8b
LMArena WebDev13621192
LMArena Coding14541312
SWE-bench Verified (bash only)70%—
Aider Polyglot74.2%—
SWE-bench Multilingual59%—
SciCode38.9%—
WeirdML39.5%—

Agentic & Tool Use Not comparable

DeepSeek-V3.2-Exp: 32.7 (#59), Granite 4.1 8b: —

BenchmarkDeepSeek-V3.2-ExpGranite 4.1 8b
Terminal-Bench39.6%—
APEX-Agents21.3%—
Berkeley Function Calling Leaderboard56.7%—
TheAgentCompany42.9%—
Vending-Bench 21,034—

Reasoning Granite 4.1 8b leads

DeepSeek-V3.2-Exp: 22.1 (#208), Granite 4.1 8b: 25.7 (#143)

BenchmarkDeepSeek-V3.2-ExpGranite 4.1 8b
LMArena Hard Prompts14341293
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), Granite 4.1 8b: 36.4 (#166)

BenchmarkDeepSeek-V3.2-ExpGranite 4.1 8b
LMArena Math14351312
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), Granite 4.1 8b: 36.1 (#174)

BenchmarkDeepSeek-V3.2-ExpGranite 4.1 8b
LMArena Expert14361309
GPQA Diamond83.4%—
Vectara Hallucination Rate5.3%—

Multilingual DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 52.2 (#90), Granite 4.1 8b: 41.7 (#204)

BenchmarkDeepSeek-V3.2-ExpGranite 4.1 8b
LMArena Non-English14091261
LMArena Chinese14611337
LMArena Russian14241240
LMArena French1433—
LMArena German1440—
LMArena Japanese1374—
LMArena Korean1371—
LMArena Spanish1440—

Instruction Following DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 74.5 (#93), Granite 4.1 8b: 66.9 (#203)

BenchmarkDeepSeek-V3.2-ExpGranite 4.1 8b
LMArena Instruction Following14131269

Long Context DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 47.6 (#16), Granite 4.1 8b: 38.7 (#193)

BenchmarkDeepSeek-V3.2-ExpGranite 4.1 8b
LMArena Longer Query14281275
Fiction.LiveBench83.3%—
CL-bench13.2%—
CL-bench Life9.5%—

Writing & Preference DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 62.4 (#77), Granite 4.1 8b: 48.1 (#204)

BenchmarkDeepSeek-V3.2-ExpGranite 4.1 8b
LMArena Text14251290
LMArena Creative Writing14031251
LMArena Multi-Turn14271268
EQ-Bench Creative Writing1515—

Frequently asked questions

Is DeepSeek-V3.2-Exp better than Granite 4.1 8b?

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 37.4 on the Noometry Index.

Is DeepSeek-V3.2-Exp or Granite 4.1 8b better for coding?

DeepSeek-V3.2-Exp scores higher on coding benchmarks: 46.5 versus 30.1 in the Noometry coding category.

How many benchmarks do DeepSeek-V3.2-Exp and Granite 4.1 8b share?

13 benchmarks have published results for both models. DeepSeek-V3.2-Exp has 49 scored results on Noometry and Granite 4.1 8b has 13.

Related comparisons

Go deeper