Model comparison
Granite 4.0 Micro vs Llama 3.1-8B
Granite 4.0 Micro is the stronger model overall, scoring 29.0 to 23.0 on the Noometry Index.
Last verified . 8 shared benchmarks.
MetaSummary
- They share 8 benchmarks with published results for both. Granite 4.0 Micro scores higher in 5 categories and Llama 3.1-8B in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Granite 4.0 Micro leads 46.7 to 29.7.
- The biggest single-benchmark swing is IFEval: 84.9% for Granite 4.0 Micro and 74.3% for Llama 3.1-8B.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.05 / $0.08 for Llama 3.1-8B.
- Granite 4.0 Micro accepts more context: 131K tokens versus 128K.
Side by side
| Granite 4.0 Micro | Llama 3.1-8B | |
|---|---|---|
| Provider | IBM | Meta |
| Noometry Index | 29.0 | 23.0 |
| Released | 2025-10-02 | 2024-07-23 |
| Weights | Open | Open |
| Context window | 131K | 128K |
| Max output | 118K | 4K |
| Input $ / M tokens | $0.017 | $0.05 |
| Output $ / M tokens | $0.11 | $0.08 |
| Results tracked | 8 | 43 |
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Category by category
Coding Not comparable
Granite 4.0 Micro: —, Llama 3.1-8B: 20.2 (#340)
| Benchmark | Granite 4.0 Micro | Llama 3.1-8B |
|---|---|---|
| SciCode | — | 13.2% |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| LMArena Coding | — | 1195 |
| BigCodeBench Complete | — | 40.5% |
| HumanEval+ | — | 62.8% |
| MBPP+ | — | 55.6% |
Agentic & Tool Use Not comparable
Granite 4.0 Micro: —, Llama 3.1-8B: 22.5 (#131)
| Benchmark | Granite 4.0 Micro | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| BALROG | — | 15.1% |
Reasoning Granite 4.0 Micro leads
Granite 4.0 Micro: 19.2 (#265), Llama 3.1-8B: 14.9 (#321)
| Benchmark | Granite 4.0 Micro | Llama 3.1-8B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| CritPt | — | 0% |
| LMArena Hard Prompts | — | 1175 |
| DTBench | — | 50.9% |
| LMCA | — | 5.4% |
| Epoch Capabilities Index | — | 116.57 |
| PIQA | — | 81.2% |
Math Granite 4.0 Micro leads
Granite 4.0 Micro: 12.0 (#307), Llama 3.1-8B: 10.2 (#317)
| Benchmark | Granite 4.0 Micro | Llama 3.1-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.8% | 1.7% |
| Omni-MATH | 20.9% | 13.7% |
| LMArena Math | — | 1179 |
| MATH Level 5 | — | 22.9% |
| GSM8K | — | 82.4% |
Knowledge Granite 4.0 Micro leads
Granite 4.0 Micro: 9.9 (#304), Llama 3.1-8B: 8.0 (#307)
| Benchmark | Granite 4.0 Micro | Llama 3.1-8B |
|---|---|---|
| GPQA Diamond | 28.3% | 27% |
| MMLU-Pro | 39.5% | 40.6% |
| GPQA (HELM) | 30.7% | 24.7% |
| LMArena Expert | — | 1144 |
| BoolQ | — | 82.8% |
| MMLU | — | 56.1% |
Multilingual Not comparable
Granite 4.0 Micro: —, Llama 3.1-8B: 34.0 (#249)
| Benchmark | Granite 4.0 Micro | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | — | 1148 |
| LMArena Chinese | — | 1151 |
| LMArena French | — | 1177 |
| LMArena German | — | 1144 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1053 |
| LMArena Russian | — | 1158 |
| LMArena Spanish | — | 1169 |
Instruction Following Granite 4.0 Micro leads
Granite 4.0 Micro: 69.9 (#169), Llama 3.1-8B: 58.9 (#258)
| Benchmark | Granite 4.0 Micro | Llama 3.1-8B |
|---|---|---|
| IFEval | 84.9% | 74.3% |
| LMArena Instruction Following | — | 1159 |
Long Context Not comparable
Granite 4.0 Micro: —, Llama 3.1-8B: 35.8 (#238)
| Benchmark | Granite 4.0 Micro | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | — | 1182 |
Writing & Preference Granite 4.0 Micro leads
Granite 4.0 Micro: 46.7 (#216), Llama 3.1-8B: 29.7 (#290)
| Benchmark | Granite 4.0 Micro | Llama 3.1-8B |
|---|---|---|
| WildBench | 67% | 68.7% |
| LMArena Text | — | 1187 |
| LMArena Creative Writing | — | 1154 |
| EQ-Bench Creative Writing | — | 713 |
| LMArena Multi-Turn | — | 1172 |
Frequently asked questions
Is Granite 4.0 Micro better than Llama 3.1-8B?
Granite 4.0 Micro is the stronger model overall, scoring 29.0 to 23.0 on the Noometry Index.
Which is cheaper, Granite 4.0 Micro or Llama 3.1-8B?
Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Llama 3.1-8B lists at $0.05 and $0.08.
Which has the bigger context window?
Granite 4.0 Micro does, with 131K tokens against 128K.
How many benchmarks do Granite 4.0 Micro and Llama 3.1-8B share?
8 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and Llama 3.1-8B has 43.