Model comparison
Granite 3.1 2b Instruct vs Llama 3-8B
Granite 3.1 2b Instruct is the stronger model overall, scoring 32.6 to 25.3 on the Noometry Index.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. Granite 3.1 2b Instruct scores higher in 5 categories and Llama 3-8B in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Granite 3.1 2b Instruct leads 30.3 to 7.8.
Side by side
| Granite 3.1 2b Instruct | Llama 3-8B | |
|---|---|---|
| Provider | IBM | Meta |
| Noometry Index | 32.6 | 25.3 |
| Released | — | 2024-04-18 |
| Weights | Open | Open |
| Context window | — | 8K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.14 |
| Results tracked | 12 | 34 |
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Category by category
Coding Granite 3.1 2b Instruct leads
Granite 3.1 2b Instruct: 32.9 (#255), Llama 3-8B: 30.5 (#285)
| Benchmark | Granite 3.1 2b Instruct | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1149 | 1152 |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Reasoning Granite 3.1 2b Instruct leads
Granite 3.1 2b Instruct: 21.0 (#206), Llama 3-8B: 13.8 (#321)
| Benchmark | Granite 3.1 2b Instruct | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1138 | 1133 |
| Chess Puzzles | — | 0% |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| Epoch Capabilities Index | — | 116.33 |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Granite 3.1 2b Instruct leads
Granite 3.1 2b Instruct: 30.6 (#206), Llama 3-8B: 8.3 (#317)
| Benchmark | Granite 3.1 2b Instruct | Llama 3-8B |
|---|---|---|
| LMArena Math | 1159 | 1151 |
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| MATH Level 5 | — | 6.1% |
Knowledge Granite 3.1 2b Instruct leads
Granite 3.1 2b Instruct: 30.3 (#223), Llama 3-8B: 7.8 (#303)
| Benchmark | Granite 3.1 2b Instruct | Llama 3-8B |
|---|---|---|
| LMArena Expert | 1131 | 1113 |
| GPQA Diamond | — | 26.1% |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Llama 3-8B leads
Granite 3.1 2b Instruct: 29.2 (#264), Llama 3-8B: 31.0 (#256)
| Benchmark | Granite 3.1 2b Instruct | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1068 | 1098 |
| LMArena Chinese | 1138 | 1076 |
| LMArena Russian | 1063 | 1109 |
| LMArena French | — | 1158 |
| LMArena German | — | 1104 |
| LMArena Japanese | — | 967 |
| LMArena Korean | — | 1003 |
| LMArena Spanish | — | 1172 |
Instruction Following Too close to call
Granite 3.1 2b Instruct: 58.0 (#259), Llama 3-8B: 58.7 (#255)
| Benchmark | Granite 3.1 2b Instruct | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1116 | 1127 |
Long Context Too close to call
Granite 3.1 2b Instruct: 35.0 (#239), Llama 3-8B: 34.2 (#246)
| Benchmark | Granite 3.1 2b Instruct | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1155 | 1128 |
Writing & Preference Llama 3-8B leads
Granite 3.1 2b Instruct: 34.3 (#269), Llama 3-8B: 37.7 (#251)
| Benchmark | Granite 3.1 2b Instruct | Llama 3-8B |
|---|---|---|
| LMArena Text | 1127 | 1166 |
| LMArena Creative Writing | 1116 | 1150 |
| LMArena Multi-Turn | 1099 | 1152 |
Frequently asked questions
Is Granite 3.1 2b Instruct better than Llama 3-8B?
Granite 3.1 2b Instruct is the stronger model overall, scoring 32.6 to 25.3 on the Noometry Index.
Is Granite 3.1 2b Instruct or Llama 3-8B better for coding?
Granite 3.1 2b Instruct scores higher on coding benchmarks: 32.9 versus 30.5 in the Noometry coding category.
How many benchmarks do Granite 3.1 2b Instruct and Llama 3-8B share?
12 benchmarks have published results for both models. Granite 3.1 2b Instruct has 12 scored results on Noometry and Llama 3-8B has 34.