Model comparison
Llama 3.1-405B vs Sonar
Sonar is the stronger model overall, scoring 38.5 to 30.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
PerplexitySummary
- The widest gap is in math, where Sonar leads 33.7 to 18.4.
- Llama 3.1-405B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-405B | Sonar | |
|---|---|---|
| Provider | Meta | Perplexity |
| Noometry Index | 30.7 | 38.5 |
| Released | 2024-07-23 | 2024-01-01 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $1 |
| Output $ / M tokens | — | $1 |
| Results tracked | 42 | 7 |
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Category by category
Coding Sonar leads
Llama 3.1-405B: 33.1 (#262), Sonar: 35.7 (#221)
| Benchmark | Llama 3.1-405B | Sonar |
|---|---|---|
| WeirdML | 21.4% | — |
| LiveBench Coding | — | 35.1% |
| LMArena Coding | 1291 | — |
Agentic & Tool Use Not comparable
Llama 3.1-405B: 21.0 (#140), Sonar: —
| Benchmark | Llama 3.1-405B | Sonar |
|---|---|---|
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |
Reasoning Sonar leads
Llama 3.1-405B: 16.8 (#300), Sonar: 21.1 (#227)
| Benchmark | Llama 3.1-405B | Sonar |
|---|---|---|
| SimpleBench | 23% | — |
| Kagi LLM Benchmark | 45% | — |
| LiveBench Reasoning | — | 46.3% |
| LMArena Hard Prompts | 1269 | — |
| DTBench | 61.4% | — |
| LiveBench Data Analysis | — | 37.9% |
| BIG-Bench Hard | 82.9% | — |
| Epoch Capabilities Index | 128.75 | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| LiveBench | — | 46.9% |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |
Math Sonar leads
Llama 3.1-405B: 18.4 (#290), Sonar: 33.7 (#200)
| Benchmark | Llama 3.1-405B | Sonar |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 9.7% | — |
| Omni-MATH | 24.9% | — |
| LiveBench Math | — | 41.6% |
| LMArena Math | 1281 | — |
| MATH Level 5 | 49.8% | — |
Knowledge Not comparable
Llama 3.1-405B: 30.4 (#227), Sonar: —
| Benchmark | Llama 3.1-405B | Sonar |
|---|---|---|
| GPQA Diamond | 50.9% | — |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| GPQA (HELM) | 52.2% | — |
| LMArena Expert | 1243 | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 84.5% | — |
| TriviaQA | 82.7% | — |
Multilingual Not comparable
Llama 3.1-405B: 40.7 (#214), Sonar: —
| Benchmark | Llama 3.1-405B | Sonar |
|---|---|---|
| LMArena Non-English | 1248 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1279 | — |
| LMArena German | 1252 | — |
| LMArena Japanese | 1208 | — |
| LMArena Korean | 1184 | — |
| LMArena Russian | 1265 | — |
| LMArena Spanish | 1260 | — |
Instruction Following Sonar leads
Llama 3.1-405B: 65.9 (#214), Sonar: 71.4 (#150)
| Benchmark | Llama 3.1-405B | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
| IFEval | 81.1% | — |
| LMArena Instruction Following | 1259 | — |
Long Context Not comparable
Llama 3.1-405B: 38.4 (#197), Sonar: —
| Benchmark | Llama 3.1-405B | Sonar |
|---|---|---|
| LMArena Longer Query | 1266 | — |
Writing & Preference Sonar leads
Llama 3.1-405B: 38.9 (#251), Sonar: 52.6 (#167)
| Benchmark | Llama 3.1-405B | Sonar |
|---|---|---|
| LMArena Text | 1284 | — |
| LMArena Creative Writing | 1262 | — |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |
| LMArena Multi-Turn | 1297 | — |
| LiveBench Language | — | 44.1% |
Frequently asked questions
Is Llama 3.1-405B better than Sonar?
Sonar is the stronger model overall, scoring 38.5 to 30.7 on the Noometry Index.
Is Llama 3.1-405B or Sonar better for coding?
Sonar scores higher on coding benchmarks: 35.7 versus 33.1 in the Noometry coding category.
How many benchmarks do Llama 3.1-405B and Sonar share?
0 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Sonar has 7.