Model comparison

Granite 3.1 8b Instruct vs Llama 3.1-405B

Granite 3.1 8b Instruct is the stronger model overall, scoring 32.4 to 30.7 on the Noometry Index.

Last verified . 12 shared benchmarks.

Granite 3.1 8b Instruct IBM

32.4

Rank #258 Confirmed

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Granite 3.1 8b Instruct scores higher in 5 categories and Llama 3.1-405B in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Granite 3.1 8b Instruct leads 33.0 to 18.4.

Side by side

Granite 3.1 8b Instruct and Llama 3.1-405B specifications
Granite 3.1 8b InstructLlama 3.1-405B
ProviderIBMMeta
Noometry Index32.430.7
Released—2024-07-23
WeightsOpenOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked1342

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

Category by category

Coding Granite 3.1 8b Instruct leads

Granite 3.1 8b Instruct: 34.5 (#233), Llama 3.1-405B: 33.1 (#262)

Coding benchmarks
BenchmarkGranite 3.1 8b InstructLlama 3.1-405B
LMArena Coding11861291
WeirdML—21.4%

Agentic & Tool Use Granite 3.1 8b Instruct leads

Granite 3.1 8b Instruct: 24.1 (#120), Llama 3.1-405B: 21.0 (#140)

Agentic & Tool Use benchmarks
BenchmarkGranite 3.1 8b InstructLlama 3.1-405B
Berkeley Function Calling Leaderboard27.1%—
TheAgentCompany—7.4%
Cybench—7.5%

Reasoning Granite 3.1 8b Instruct leads

Granite 3.1 8b Instruct: 22.1 (#207), Llama 3.1-405B: 16.8 (#300)

Reasoning benchmarks
BenchmarkGranite 3.1 8b InstructLlama 3.1-405B
LMArena Hard Prompts11451269
SimpleBench—23%
Kagi LLM Benchmark—45%
DTBench—61.4%
BIG-Bench Hard—82.9%
Epoch Capabilities Index—128.75
ForecastBench—59.9
HellaSwag—89.2%
PIQA—85.9%
WinoGrande—89.2%

Math Granite 3.1 8b Instruct leads

Granite 3.1 8b Instruct: 33.0 (#209), Llama 3.1-405B: 18.4 (#290)

Math benchmarks
BenchmarkGranite 3.1 8b InstructLlama 3.1-405B
LMArena Math11521281
OTIS Mock AIME 2024-2025—9.7%
Omni-MATH—24.9%
MATH Level 5—49.8%

Knowledge Too close to call

Granite 3.1 8b Instruct: 31.1 (#220), Llama 3.1-405B: 30.4 (#227)

Knowledge benchmarks
BenchmarkGranite 3.1 8b InstructLlama 3.1-405B
LMArena Expert11421243
GPQA Diamond—50.9%
MMLU-Pro—72.3%
Confabulations—17.6%
GPQA (HELM)—52.2%
ARC (AI2) Challenge—95.3%
MMLU—84.5%
TriviaQA—82.7%

Multilingual Llama 3.1-405B leads

Granite 3.1 8b Instruct: 30.9 (#260), Llama 3.1-405B: 40.7 (#214)

Multilingual benchmarks
BenchmarkGranite 3.1 8b InstructLlama 3.1-405B
LMArena Non-English10991248
LMArena Chinese11451242
LMArena Russian10921265
LMArena French—1279
LMArena German—1252
LMArena Japanese—1208
LMArena Korean—1184
LMArena Spanish—1260

Instruction Following Llama 3.1-405B leads

Granite 3.1 8b Instruct: 58.6 (#259), Llama 3.1-405B: 65.9 (#214)

Instruction Following benchmarks
BenchmarkGranite 3.1 8b InstructLlama 3.1-405B
LMArena Instruction Following11311259
IFEval—81.1%

Long Context Llama 3.1-405B leads

Granite 3.1 8b Instruct: 35.2 (#241), Llama 3.1-405B: 38.4 (#197)

Long Context benchmarks
BenchmarkGranite 3.1 8b InstructLlama 3.1-405B
LMArena Longer Query11621266

Writing & Preference Llama 3.1-405B leads

Granite 3.1 8b Instruct: 35.5 (#266), Llama 3.1-405B: 38.9 (#251)

Writing & Preference benchmarks
BenchmarkGranite 3.1 8b InstructLlama 3.1-405B
LMArena Text11501284
LMArena Creative Writing11291262
LMArena Multi-Turn11081297
EQ-Bench Creative Writing—870
WildBench—78.3%

Frequently asked questions

Is Granite 3.1 8b Instruct better than Llama 3.1-405B?

Granite 3.1 8b Instruct is the stronger model overall, scoring 32.4 to 30.7 on the Noometry Index.

Is Granite 3.1 8b Instruct or Llama 3.1-405B better for coding?

Granite 3.1 8b Instruct scores higher on coding benchmarks: 34.5 versus 33.1 in the Noometry coding category.

How many benchmarks do Granite 3.1 8b Instruct and Llama 3.1-405B share?

12 benchmarks have published results for both models. Granite 3.1 8b Instruct has 13 scored results on Noometry and Llama 3.1-405B has 42.

Related comparisons

Go deeper