Model comparison

GPT-4 vs Granite 3.1 2b Instruct

Granite 3.1 2b Instruct is the stronger model overall, scoring 33.2 to 29.1 on the Noometry Index.

Last verified . 12 shared benchmarks.

GPT-4 OpenAI

29.1

Rank #316 Confirmed

Granite 3.1 2b Instruct IBM

33.2

Rank #247 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GPT-4 scores higher in 4 categories and Granite 3.1 2b Instruct in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Granite 3.1 2b Instruct leads 33.1 to 10.8.
  • Granite 3.1 2b Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-4 and Granite 3.1 2b Instruct specifications
GPT-4Granite 3.1 2b Instruct
ProviderOpenAIIBM
Noometry Index29.133.2
Released2023-03-14—
WeightsProprietaryOpen
Context window8K—
Max output8K—
Input $ / M tokens$30—
Output $ / M tokens$60—
Results tracked3812

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Category by category

Coding Granite 3.1 2b Instruct leads

GPT-4: 31.6 (#283), Granite 3.1 2b Instruct: 33.4 (#257)

Coding benchmarks
BenchmarkGPT-4Granite 3.1 2b Instruct
LMArena Coding12541149
WeirdML12.4%—
BigCodeBench Instruct46%—
BigCodeBench Complete57.2%—
HumanEval+79.3%—

Agentic & Tool Use Not comparable

GPT-4: —, Granite 3.1 2b Instruct: —

Agentic & Tool Use benchmarks
BenchmarkGPT-4Granite 3.1 2b Instruct
METR Time Horizons36.1%—

Reasoning Granite 3.1 2b Instruct leads

GPT-4: 17.8 (#289), Granite 3.1 2b Instruct: 22.0 (#209)

Reasoning benchmarks
BenchmarkGPT-4Granite 3.1 2b Instruct
LMArena Hard Prompts12411138
Chess Puzzles4%—
Mystery Game Puzzles12%—
DTBench62.7%—
LMCA17.1%—
BIG-Bench Hard75.1%—
Epoch Capabilities Index125.89—
ForecastBench57.8—
HellaSwag95.3%—
WinoGrande87.5%—

Math Granite 3.1 2b Instruct leads

GPT-4: 10.8 (#309), Granite 3.1 2b Instruct: 33.1 (#206)

Math benchmarks
BenchmarkGPT-4Granite 3.1 2b Instruct
LMArena Math12691159
OTIS Mock AIME 2024-20251.1%—
MATH Level 523%—
GSM8K92%—

Knowledge Granite 3.1 2b Instruct leads

GPT-4: 18.4 (#282), Granite 3.1 2b Instruct: 30.8 (#224)

Knowledge benchmarks
BenchmarkGPT-4Granite 3.1 2b Instruct
LMArena Expert12111131
GPQA Diamond35.7%—
MMLU86.4%—
TriviaQA84.8%—

Multilingual GPT-4 leads

GPT-4: 40.6 (#215), Granite 3.1 2b Instruct: 29.1 (#269)

Multilingual benchmarks
BenchmarkGPT-4Granite 3.1 2b Instruct
LMArena Non-English12461068
LMArena Chinese12421139
LMArena Russian12511063
LMArena French1283—
LMArena German1251—
LMArena Japanese1209—
LMArena Korean1184—
LMArena Spanish1261—

Instruction Following GPT-4 leads

GPT-4: 65.3 (#222), Granite 3.1 2b Instruct: 57.7 (#264)

Instruction Following benchmarks
BenchmarkGPT-4Granite 3.1 2b Instruct
LMArena Instruction Following12411116

Long Context GPT-4 leads

GPT-4: 37.7 (#212), Granite 3.1 2b Instruct: 35.0 (#244)

Long Context benchmarks
BenchmarkGPT-4Granite 3.1 2b Instruct
LMArena Longer Query12441155

Writing & Preference Too close to call

GPT-4: 34.9 (#268), Granite 3.1 2b Instruct: 34.1 (#274)

Writing & Preference benchmarks
BenchmarkGPT-4Granite 3.1 2b Instruct
LMArena Text12631127
LMArena Creative Writing12441116
LMArena Multi-Turn12571099
EQ-Bench Creative Writing752—

Frequently asked questions

Is GPT-4 better than Granite 3.1 2b Instruct?

Granite 3.1 2b Instruct is the stronger model overall, scoring 33.2 to 29.1 on the Noometry Index.

Is GPT-4 or Granite 3.1 2b Instruct better for coding?

Granite 3.1 2b Instruct scores higher on coding benchmarks: 33.4 versus 31.6 in the Noometry coding category.

How many benchmarks do GPT-4 and Granite 3.1 2b Instruct share?

12 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Granite 3.1 2b Instruct has 12.

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