Model comparison
Llama 3.1-8B vs Solar Pro4
Solar Pro4 is the stronger model overall, scoring 42.1 to 23.0 on the Noometry Index. Llama 3.1-8B costs 9.1× less per token, which makes it the better buy when Solar Pro4's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Meta
UpstageSummary
- They share 17 benchmarks with published results for both. Llama 3.1-8B scores higher in 0 categories and Solar Pro4 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Solar Pro4 leads 39.8 to 8.0.
- Llama 3.1-8B is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.30 / $1.20 for Solar Pro4.
- Solar Pro4 accepts more context: 524K tokens versus 128K.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-8B | Solar Pro4 | |
|---|---|---|
| Provider | Meta | Upstage |
| Noometry Index | 23.0 | 42.1 |
| Released | 2024-07-23 | 2026-08-06 |
| Weights | Open | Proprietary |
| Context window | 128K | 524K |
| Max output | 4K | 131K |
| Input $ / M tokens | $0.05 | $0.30 |
| Output $ / M tokens | $0.08 | $1.20 |
| Results tracked | 43 | 18 |
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Category by category
Coding Solar Pro4 leads
Llama 3.1-8B: 20.2 (#340), Solar Pro4: 40.1 (#149)
| Benchmark | Llama 3.1-8B | Solar Pro4 |
|---|---|---|
| LMArena Coding | 1195 | 1437 |
| LMArena WebDev | — | 1371 |
| SciCode | 13.2% | — |
| WeirdML | 1.7% | — |
| BigCodeBench Instruct | 32.8% | — |
| BigCodeBench Complete | 40.5% | — |
| HumanEval+ | 62.8% | — |
| MBPP+ | 55.6% | — |
Agentic & Tool Use Not comparable
Llama 3.1-8B: 22.5 (#131), Solar Pro4: —
| Benchmark | Llama 3.1-8B | Solar Pro4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |
Reasoning Solar Pro4 leads
Llama 3.1-8B: 14.9 (#321), Solar Pro4: 28.5 (#104)
| Benchmark | Llama 3.1-8B | Solar Pro4 |
|---|---|---|
| LMArena Hard Prompts | 1175 | 1399 |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 5.4% | — |
| Epoch Capabilities Index | 116.57 | — |
| PIQA | 81.2% | — |
Math Solar Pro4 leads
Llama 3.1-8B: 10.2 (#317), Solar Pro4: 38.8 (#128)
| Benchmark | Llama 3.1-8B | Solar Pro4 |
|---|---|---|
| LMArena Math | 1179 | 1416 |
| OTIS Mock AIME 2024-2025 | 1.7% | — |
| Omni-MATH | 13.7% | — |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |
Knowledge Solar Pro4 leads
Llama 3.1-8B: 8.0 (#307), Solar Pro4: 39.8 (#129)
| Benchmark | Llama 3.1-8B | Solar Pro4 |
|---|---|---|
| LMArena Expert | 1144 | 1427 |
| GPQA Diamond | 27% | — |
| MMLU-Pro | 40.6% | — |
| GPQA (HELM) | 24.7% | — |
| BoolQ | 82.8% | — |
| MMLU | 56.1% | — |
Multilingual Solar Pro4 leads
Llama 3.1-8B: 34.0 (#249), Solar Pro4: 48.7 (#139)
| Benchmark | Llama 3.1-8B | Solar Pro4 |
|---|---|---|
| LMArena Non-English | 1148 | 1361 |
| LMArena Chinese | 1151 | 1415 |
| LMArena French | 1177 | 1397 |
| LMArena German | 1144 | 1364 |
| LMArena Japanese | 1061 | 1309 |
| LMArena Korean | 1053 | 1382 |
| LMArena Russian | 1158 | 1360 |
| LMArena Spanish | 1169 | 1401 |
Instruction Following Solar Pro4 leads
Llama 3.1-8B: 58.9 (#258), Solar Pro4: 72.7 (#132)
| Benchmark | Llama 3.1-8B | Solar Pro4 |
|---|---|---|
| LMArena Instruction Following | 1159 | 1377 |
| IFEval | 74.3% | — |
Long Context Solar Pro4 leads
Llama 3.1-8B: 35.8 (#238), Solar Pro4: 42.1 (#130)
| Benchmark | Llama 3.1-8B | Solar Pro4 |
|---|---|---|
| LMArena Longer Query | 1182 | 1381 |
Writing & Preference Solar Pro4 leads
Llama 3.1-8B: 29.7 (#290), Solar Pro4: 56.5 (#138)
| Benchmark | Llama 3.1-8B | Solar Pro4 |
|---|---|---|
| LMArena Text | 1187 | 1386 |
| LMArena Creative Writing | 1154 | 1316 |
| LMArena Multi-Turn | 1172 | 1385 |
| EQ-Bench Creative Writing | 713 | — |
| WildBench | 68.7% | — |
Frequently asked questions
Is Llama 3.1-8B better than Solar Pro4?
Solar Pro4 is the stronger model overall, scoring 42.1 to 23.0 on the Noometry Index. Llama 3.1-8B costs 9.1× less per token, which makes it the better buy when Solar Pro4's lead doesn't matter for your workload.
Which is cheaper, Llama 3.1-8B or Solar Pro4?
Llama 3.1-8B is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Solar Pro4 lists at $0.30 and $1.20.
Is Llama 3.1-8B or Solar Pro4 better for coding?
Solar Pro4 scores higher on coding benchmarks: 40.1 versus 20.2 in the Noometry coding category.
Which has the bigger context window?
Solar Pro4 does, with 524K tokens against 128K.
How many benchmarks do Llama 3.1-8B and Solar Pro4 share?
17 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Solar Pro4 has 18.