Model comparison
Llama 3.1-8B vs Sonar
Sonar is the stronger model overall, scoring 37.8 to 22.8 on the Noometry Index. Llama 3.1-8B costs 17× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Meta
PerplexitySummary
- The widest gap is in writing & preference, where Sonar leads 52.6 to 29.9.
- Llama 3.1-8B is cheaper at $0.05 / $0.08 per million input/output tokens, against $1 / $1 for Sonar.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-8B | Sonar | |
|---|---|---|
| Provider | Meta | Perplexity |
| Noometry Index | 22.8 | 37.8 |
| Released | 2024-07-23 | 2024-01-01 |
| Weights | Open | Proprietary |
| Context window | 128K | 128K |
| Max output | 4K | 4K |
| Input $ / M tokens | $0.05 | $1 |
| Output $ / M tokens | $0.08 | $1 |
| Results tracked | 43 | 7 |
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Category by category
Coding Sonar leads
Llama 3.1-8B: 19.9 (#335), Sonar: 35.1 (#217)
| Benchmark | Llama 3.1-8B | Sonar |
|---|---|---|
| SciCode | 13.2% | — |
| WeirdML | 1.7% | — |
| BigCodeBench Instruct | 32.8% | — |
| LiveBench Coding | — | 35.1% |
| LMArena Coding | 1195 | — |
| BigCodeBench Complete | 40.5% | — |
| HumanEval+ | 62.8% | — |
| MBPP+ | 55.6% | — |
Agentic & Tool Use Not comparable
Llama 3.1-8B: 22.3 (#123), Sonar: —
| Benchmark | Llama 3.1-8B | Sonar |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |
Reasoning Sonar leads
Llama 3.1-8B: 14.5 (#316), Sonar: 20.3 (#221)
| Benchmark | Llama 3.1-8B | Sonar |
|---|---|---|
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 46.3% |
| LMArena Hard Prompts | 1175 | — |
| DTBench | 50.9% | — |
| LiveBench Data Analysis | — | 37.9% |
| LMCA | 5.4% | — |
| Epoch Capabilities Index | 116.48 | — |
| LiveBench | — | 46.9% |
| PIQA | 81.2% | — |
Math Sonar leads
Llama 3.1-8B: 9.5 (#311), Sonar: 31.3 (#197)
| Benchmark | Llama 3.1-8B | Sonar |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.7% | — |
| Omni-MATH | 13.7% | — |
| LiveBench Math | — | 41.6% |
| LMArena Math | 1179 | — |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |
Knowledge Not comparable
Llama 3.1-8B: 8.0 (#302), Sonar: —
| Benchmark | Llama 3.1-8B | Sonar |
|---|---|---|
| GPQA Diamond | 27% | — |
| MMLU-Pro | 40.6% | — |
| GPQA (HELM) | 24.7% | — |
| LMArena Expert | 1144 | — |
| BoolQ | 82.8% | — |
| MMLU | 56.1% | — |
Multilingual Not comparable
Llama 3.1-8B: 34.2 (#244), Sonar: —
| Benchmark | Llama 3.1-8B | Sonar |
|---|---|---|
| LMArena Non-English | 1148 | — |
| LMArena Chinese | 1151 | — |
| LMArena French | 1176 | — |
| LMArena German | 1144 | — |
| LMArena Japanese | 1061 | — |
| LMArena Korean | 1053 | — |
| LMArena Russian | 1158 | — |
| LMArena Spanish | 1169 | — |
Instruction Following Sonar leads
Llama 3.1-8B: 59.1 (#253), Sonar: 71.5 (#146)
| Benchmark | Llama 3.1-8B | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
| IFEval | 74.3% | — |
| LMArena Instruction Following | 1159 | — |
Long Context Not comparable
Llama 3.1-8B: 35.8 (#233), Sonar: —
| Benchmark | Llama 3.1-8B | Sonar |
|---|---|---|
| LMArena Longer Query | 1182 | — |
Writing & Preference Sonar leads
Llama 3.1-8B: 29.9 (#285), Sonar: 52.6 (#166)
| Benchmark | Llama 3.1-8B | Sonar |
|---|---|---|
| LMArena Text | 1187 | — |
| LMArena Creative Writing | 1154 | — |
| EQ-Bench Creative Writing | 713 | — |
| WildBench | 68.7% | — |
| LMArena Multi-Turn | 1172 | — |
| LiveBench Language | — | 44.1% |
Frequently asked questions
Is Llama 3.1-8B better than Sonar?
Sonar is the stronger model overall, scoring 37.8 to 22.8 on the Noometry Index. Llama 3.1-8B costs 17× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.
Which is cheaper, Llama 3.1-8B or Sonar?
Llama 3.1-8B is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Sonar lists at $1 and $1.
Is Llama 3.1-8B or Sonar better for coding?
Sonar scores higher on coding benchmarks: 35.1 versus 19.9 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Llama 3.1-8B and Sonar share?
0 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Sonar has 7.