Model comparison
Llama 13b vs Solar Pro4
Solar Pro4 is the stronger model overall, scoring 42.1 to 24.4 on the Noometry Index.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. Llama 13b scores higher in 0 categories and Solar Pro4 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Solar Pro4 leads 56.5 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Llama 13b | Solar Pro4 | |
|---|---|---|
| Provider | Meta | Upstage |
| Noometry Index | 24.4 | 42.1 |
| Released | 2023-02-24 | 2026-08-06 |
| Weights | Open | Proprietary |
| Context window | — | 524K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 21 | 18 |
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Category by category
Coding Solar Pro4 leads
Llama 13b: 21.4 (#337), Solar Pro4: 40.1 (#149)
| Benchmark | Llama 13b | Solar Pro4 |
|---|---|---|
| LMArena Coding | 683 | 1437 |
| LMArena WebDev | — | 1371 |
Reasoning Solar Pro4 leads
Llama 13b: 14.0 (#329), Solar Pro4: 28.5 (#104)
| Benchmark | Llama 13b | Solar Pro4 |
|---|---|---|
| LMArena Hard Prompts | 728 | 1399 |
| BIG-Bench Hard | 37.9% | — |
| Epoch Capabilities Index | 100.58 | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Solar Pro4 leads
Llama 13b: 26.7 (#256), Solar Pro4: 38.8 (#128)
| Benchmark | Llama 13b | Solar Pro4 |
|---|---|---|
| LMArena Math | 838 | 1416 |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Solar Pro4: 39.8 (#129)
| Benchmark | Llama 13b | Solar Pro4 |
|---|---|---|
| LMArena Expert | — | 1427 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Solar Pro4: —
| Benchmark | Llama 13b | Solar Pro4 |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Solar Pro4 leads
Llama 13b: 16.6 (#297), Solar Pro4: 48.7 (#139)
| Benchmark | Llama 13b | Solar Pro4 |
|---|---|---|
| LMArena Non-English | 819 | 1361 |
| LMArena Chinese | — | 1415 |
| LMArena French | — | 1397 |
| LMArena German | — | 1364 |
| LMArena Japanese | — | 1309 |
| LMArena Korean | — | 1382 |
| LMArena Russian | — | 1360 |
| LMArena Spanish | — | 1401 |
Instruction Following Solar Pro4 leads
Llama 13b: 36.7 (#305), Solar Pro4: 72.7 (#132)
| Benchmark | Llama 13b | Solar Pro4 |
|---|---|---|
| LMArena Instruction Following | 781 | 1377 |
Long Context Not comparable
Llama 13b: —, Solar Pro4: 42.1 (#130)
| Benchmark | Llama 13b | Solar Pro4 |
|---|---|---|
| LMArena Longer Query | — | 1381 |
Writing & Preference Solar Pro4 leads
Llama 13b: 13.8 (#312), Solar Pro4: 56.5 (#138)
| Benchmark | Llama 13b | Solar Pro4 |
|---|---|---|
| LMArena Text | 834 | 1386 |
| LMArena Creative Writing | 794 | 1316 |
| LMArena Multi-Turn | 753 | 1385 |
Frequently asked questions
Is Llama 13b better than Solar Pro4?
Solar Pro4 is the stronger model overall, scoring 42.1 to 24.4 on the Noometry Index.
Is Llama 13b or Solar Pro4 better for coding?
Solar Pro4 scores higher on coding benchmarks: 40.1 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Solar Pro4 share?
8 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Solar Pro4 has 18.