Model comparison
INTELLECT-1 vs Llama 2-13B
Llama 2-13B has enough public results to be ranked (#309); INTELLECT-1 does not yet, so treat this comparison as directional.
Last verified . 7 shared benchmarks.
Hugging Face
MetaSummary
- They share 7 benchmarks with published results for both.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| INTELLECT-1 | Llama 2-13B | |
|---|---|---|
| Provider | Hugging Face | Meta |
| Noometry Index | — | 29.6 |
| Released | 2024-11-29 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 32 |
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Category by category
Coding Not comparable
INTELLECT-1: —, Llama 2-13B: 30.9 (#291)
| Benchmark | INTELLECT-1 | Llama 2-13B |
|---|---|---|
| LMArena Coding | — | 1062 |
Reasoning Not comparable
INTELLECT-1: —, Llama 2-13B: 12.8 (#337)
| Benchmark | INTELLECT-1 | Llama 2-13B |
|---|---|---|
| BIG-Bench Hard | 34.9% | 58.2% |
| Epoch Capabilities Index | 100.86 | 106.17 |
| HellaSwag | 71.4% | 80.7% |
| WinoGrande | 65.8% | 72.8% |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1051 |
| DTBench | — | 42.2% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
Math Not comparable
INTELLECT-1: —, Llama 2-13B: 31.1 (#229)
| Benchmark | INTELLECT-1 | Llama 2-13B |
|---|---|---|
| GSM8K | 38.6% | 36.9% |
| LMArena Math | — | 1065 |
Knowledge Not comparable
INTELLECT-1: —, Llama 2-13B: 28.1 (#249)
| Benchmark | INTELLECT-1 | Llama 2-13B |
|---|---|---|
| ARC (AI2) Challenge | 54.5% | 60.3% |
| MMLU | 49.9% | 55.6% |
| LMArena Expert | — | 1030 |
| BoolQ | — | 82.4% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
INTELLECT-1: —, Llama 2-13B: —
| Benchmark | INTELLECT-1 | Llama 2-13B |
|---|---|---|
| ScienceQA | — | 55.8% |
Multilingual Not comparable
INTELLECT-1: —, Llama 2-13B: 26.5 (#279)
| Benchmark | INTELLECT-1 | Llama 2-13B |
|---|---|---|
| LMArena Non-English | — | 1024 |
| LMArena Chinese | — | 1001 |
| LMArena French | — | 1044 |
| LMArena German | — | 1009 |
| LMArena Japanese | — | 894 |
| LMArena Korean | — | 953 |
| LMArena Russian | — | 1055 |
| LMArena Spanish | — | 1087 |
Instruction Following Not comparable
INTELLECT-1: —, Llama 2-13B: 53.3 (#287)
| Benchmark | INTELLECT-1 | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | — | 1045 |
Long Context Not comparable
INTELLECT-1: —, Llama 2-13B: 32.3 (#269)
| Benchmark | INTELLECT-1 | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | — | 1064 |
Writing & Preference Not comparable
INTELLECT-1: —, Llama 2-13B: 29.8 (#289)
| Benchmark | INTELLECT-1 | Llama 2-13B |
|---|---|---|
| LMArena Text | — | 1084 |
| LMArena Creative Writing | — | 1047 |
| LMArena Multi-Turn | — | 1050 |
Frequently asked questions
Is INTELLECT-1 better than Llama 2-13B?
Llama 2-13B has enough public results to be ranked (#309); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do INTELLECT-1 and Llama 2-13B share?
7 benchmarks have published results for both models. INTELLECT-1 has 7 scored results on Noometry and Llama 2-13B has 32.