Model comparison

DeepSeek V4 Pro vs Granite 4.0 H Small

DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 36.5 on the Noometry Index.

Last verified . 14 shared benchmarks.

DeepSeek V4 Pro DeepSeek

54.3

Rank #31 Confirmed

Granite 4.0 H Small IBM

36.5

Rank #214 Confirmed

Summary

  • They share 14 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 8 categories and Granite 4.0 H Small in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4 Pro leads 64.8 to 31.4.

Side by side

DeepSeek V4 Pro and Granite 4.0 H Small specifications
DeepSeek V4 ProGranite 4.0 H Small
ProviderDeepSeekIBM
Noometry Index54.336.5
Released2026-04-24—
WeightsOpenOpen
Context window1M—
Max output393K—
Input $ / M tokens$0.66—
Output $ / M tokens$1.98—
Results tracked4819

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Category by category

Coding DeepSeek V4 Pro leads

DeepSeek V4 Pro: 52.4 (#34), Granite 4.0 H Small: 36.4 (#209)

Coding benchmarks
BenchmarkDeepSeek V4 ProGranite 4.0 H Small
LMArena Coding14701249
SWE-bench Verified77.6%—
FrontierCode28.6%—
LMArena WebDev1582—
SciCode51%—
WeirdML66.2%—
ALE-Bench1,403—

Agentic & Tool Use Not comparable

DeepSeek V4 Pro: 32.8 (#58), Granite 4.0 H Small: —

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4 ProGranite 4.0 H Small
APEX-Agents47.3%—
Vending-Bench 23,285—

Reasoning DeepSeek V4 Pro leads

DeepSeek V4 Pro: 56.5 (#24), Granite 4.0 H Small: 24.4 (#163)

Reasoning benchmarks
BenchmarkDeepSeek V4 ProGranite 4.0 H Small
LMArena Hard Prompts14611240
ARC-AGI-261.3%—
Kagi LLM Benchmark53.5%—
NYT Connections (extended)91.3%—
ARC-AGI-190.5%—
CritPt18%—
Chess Puzzles47%—
Mystery Game Puzzles43%—
DTBench93.9%—
LMCA45.5%—
Surface Evolver Bench40%—
Epoch Capabilities Index155.31—
ForecastBench56.1—

Math DeepSeek V4 Pro leads

DeepSeek V4 Pro: 64.8 (#30), Granite 4.0 H Small: 31.4 (#223)

Math benchmarks
BenchmarkDeepSeek V4 ProGranite 4.0 H Small
LMArena Math14551247
FrontierMath (Tiers 1-3)64.6%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions76.6%—
OTIS Mock AIME 2024-202598.6%—
ProofBench50%—
Omni-MATH—29.6%

Knowledge DeepSeek V4 Pro leads

DeepSeek V4 Pro: 59.5 (#31), Granite 4.0 H Small: 32.0 (#215)

Knowledge benchmarks
BenchmarkDeepSeek V4 ProGranite 4.0 H Small
Vectara Hallucination Rate8.6%5.2%
LMArena Expert14641251
GPQA Diamond91.7%—
SimpleQA Verified52.9%—
MMLU-Pro—56.9%
GPQA (HELM)—38.3%

Multilingual DeepSeek V4 Pro leads

DeepSeek V4 Pro: 54.4 (#45), Granite 4.0 H Small: 38.6 (#228)

Multilingual benchmarks
BenchmarkDeepSeek V4 ProGranite 4.0 H Small
LMArena Non-English14391216
LMArena Chinese14861249
LMArena Russian14531201
LMArena Spanish14581258
LMArena French1472—
LMArena German1458—
LMArena Japanese1445—
LMArena Korean1447—

Instruction Following DeepSeek V4 Pro leads

DeepSeek V4 Pro: 76.1 (#47), Granite 4.0 H Small: 68.7 (#183)

Instruction Following benchmarks
BenchmarkDeepSeek V4 ProGranite 4.0 H Small
LMArena Instruction Following14481222
IFEval—89%

Long Context DeepSeek V4 Pro leads

DeepSeek V4 Pro: 45.0 (#51), Granite 4.0 H Small: 37.7 (#213)

Long Context benchmarks
BenchmarkDeepSeek V4 ProGranite 4.0 H Small
LMArena Longer Query14581242
CL-bench Life13.5%—

Writing & Preference DeepSeek V4 Pro leads

DeepSeek V4 Pro: 65.5 (#46), Granite 4.0 H Small: 43.8 (#227)

Writing & Preference benchmarks
BenchmarkDeepSeek V4 ProGranite 4.0 H Small
LMArena Text14511241
LMArena Creative Writing14461211
LMArena Multi-Turn14671242
EQ-Bench Creative Writing1553—
WildBench—73.9%
EQ-Bench 41166—

Frequently asked questions

Is DeepSeek V4 Pro better than Granite 4.0 H Small?

DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 36.5 on the Noometry Index.

Is DeepSeek V4 Pro or Granite 4.0 H Small better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 36.4 in the Noometry coding category.

How many benchmarks do DeepSeek V4 Pro and Granite 4.0 H Small share?

14 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Granite 4.0 H Small has 19.

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