Model comparison
Llama 2-13B vs Sonar
Sonar is the stronger model overall, scoring 38.5 to 29.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
PerplexitySummary
- The widest gap is in writing & preference, where Sonar leads 52.6 to 29.8.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | Sonar | |
|---|---|---|
| Provider | Meta | Perplexity |
| Noometry Index | 29.6 | 38.5 |
| Released | 2023-07-18 | 2024-01-01 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $1 |
| Output $ / M tokens | — | $1 |
| Results tracked | 32 | 7 |
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Category by category
Coding Sonar leads
Llama 2-13B: 30.9 (#291), Sonar: 35.7 (#221)
| Benchmark | Llama 2-13B | Sonar |
|---|---|---|
| LiveBench Coding | — | 35.1% |
| LMArena Coding | 1062 | — |
Reasoning Sonar leads
Llama 2-13B: 12.8 (#337), Sonar: 21.1 (#227)
| Benchmark | Llama 2-13B | Sonar |
|---|---|---|
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 46.3% |
| LMArena Hard Prompts | 1051 | — |
| DTBench | 42.2% | — |
| LiveBench Data Analysis | — | 37.9% |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| LiveBench | — | 46.9% |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Sonar leads
Llama 2-13B: 31.1 (#229), Sonar: 33.7 (#200)
| Benchmark | Llama 2-13B | Sonar |
|---|---|---|
| LiveBench Math | — | 41.6% |
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |
Knowledge Not comparable
Llama 2-13B: 28.1 (#249), Sonar: —
| Benchmark | Llama 2-13B | Sonar |
|---|---|---|
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Sonar: —
| Benchmark | Llama 2-13B | Sonar |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.5 (#279), Sonar: —
| Benchmark | Llama 2-13B | Sonar |
|---|---|---|
| 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 Sonar leads
Llama 2-13B: 53.3 (#287), Sonar: 71.4 (#150)
| Benchmark | Llama 2-13B | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
| LMArena Instruction Following | 1045 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#269), Sonar: —
| Benchmark | Llama 2-13B | Sonar |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Sonar leads
Llama 2-13B: 29.8 (#289), Sonar: 52.6 (#167)
| Benchmark | Llama 2-13B | Sonar |
|---|---|---|
| LMArena Text | 1084 | — |
| LMArena Creative Writing | 1047 | — |
| LMArena Multi-Turn | 1050 | — |
| LiveBench Language | — | 44.1% |
Frequently asked questions
Is Llama 2-13B better than Sonar?
Sonar is the stronger model overall, scoring 38.5 to 29.6 on the Noometry Index.
Is Llama 2-13B or Sonar better for coding?
Sonar scores higher on coding benchmarks: 35.7 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Sonar share?
0 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Sonar has 7.