Model comparison
INTELLECT-1 vs Llama 3.2 1B
Llama 3.2 1B has enough public results to be ranked (#354); INTELLECT-1 does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Hugging Face
MetaSummary
- They share 1 benchmark with published results for both.
- Llama 3.2 1B has downloadable open weights; the other is API-only.
Side by side
| INTELLECT-1 | Llama 3.2 1B | |
|---|---|---|
| Provider | Hugging Face | Meta |
| Noometry Index | — | 20.1 |
| Released | 2024-11-29 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | — | 60K |
| Max output | — | 54K |
| Input $ / M tokens | — | $0.027 |
| Output $ / M tokens | — | $0.20 |
| Results tracked | 7 | 22 |
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Category by category
Coding Not comparable
INTELLECT-1: —, Llama 3.2 1B: 21.1 (#338)
| Benchmark | INTELLECT-1 | Llama 3.2 1B |
|---|---|---|
| BigCodeBench Instruct | — | 8.2% |
| LMArena Coding | — | 1070 |
| BigCodeBench Complete | — | 11.3% |
Agentic & Tool Use Not comparable
INTELLECT-1: —, Llama 3.2 1B: 14.6 (#150)
| Benchmark | INTELLECT-1 | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10.8% |
| BALROG | — | 6.6% |
Reasoning Not comparable
INTELLECT-1: —, Llama 3.2 1B: 16.2 (#308)
| Benchmark | INTELLECT-1 | Llama 3.2 1B |
|---|---|---|
| Epoch Capabilities Index | 100.86 | 101.99 |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1044 |
| BIG-Bench Hard | 34.9% | — |
| HellaSwag | 71.4% | — |
| WinoGrande | 65.8% | — |
Math Not comparable
INTELLECT-1: —, Llama 3.2 1B: 10.4 (#313)
| Benchmark | INTELLECT-1 | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| LMArena Math | — | 1086 |
| GSM8K | 38.6% | — |
Knowledge Not comparable
INTELLECT-1: —, Llama 3.2 1B: 7.2 (#312)
| Benchmark | INTELLECT-1 | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | — | 23.9% |
| LMArena Expert | — | 1007 |
| ARC (AI2) Challenge | 54.5% | — |
| MMLU | 49.9% | — |
Multilingual Not comparable
INTELLECT-1: —, Llama 3.2 1B: 23.8 (#292)
| Benchmark | INTELLECT-1 | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | — | 973 |
| LMArena Chinese | — | 959 |
| LMArena German | — | 1014 |
| LMArena Russian | — | 941 |
Instruction Following Not comparable
INTELLECT-1: —, Llama 3.2 1B: 52.4 (#290)
| Benchmark | INTELLECT-1 | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | — | 1031 |
Long Context Not comparable
INTELLECT-1: —, Llama 3.2 1B: 31.9 (#274)
| Benchmark | INTELLECT-1 | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | — | 1050 |
Writing & Preference Not comparable
INTELLECT-1: —, Llama 3.2 1B: 21.3 (#310)
| Benchmark | INTELLECT-1 | Llama 3.2 1B |
|---|---|---|
| LMArena Text | — | 1055 |
| LMArena Creative Writing | — | 1033 |
| EQ-Bench Creative Writing | — | 200 |
| LMArena Multi-Turn | — | 1030 |
Frequently asked questions
Is INTELLECT-1 better than Llama 3.2 1B?
Llama 3.2 1B has enough public results to be ranked (#354); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do INTELLECT-1 and Llama 3.2 1B share?
1 benchmark has published results for both models. INTELLECT-1 has 7 scored results on Noometry and Llama 3.2 1B has 22.