# Llama 3.1-70B vs Solar Pro4

> Solar Pro4 is the stronger model overall, scoring 41.5 to 29.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-70b-vs-solar-pro4
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Llama 3.1-70B scores higher in 0 categories and Solar Pro4 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Solar Pro4 leads 36.1 to 12.7.
- Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $0.30 / $1.20 for Solar Pro4.
- Solar Pro4 accepts more context: 524K tokens versus 128K.
- Llama 3.1-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3.1-70B | Solar Pro4 |
|---|---|---|
| Provider | Meta | Upstage |
| Noometry Index | 29.4 | 41.5 |
| Rank | 299 | 123 |
| Context | 128K | 524K |
| Input $/M | $0.40 | $0.30 |
| Output $/M | $0.40 | $1.20 |
| Weights | Open | Proprietary |

## Coding

- Llama 3.1-70B: 29.8 (#292)
- Solar Pro4: 39.9 (#135)

| Benchmark | Llama 3.1-70B | Solar Pro4 |
|---|---|---|
| LMArena Coding | 1260 | 1439 |
| LMArena WebDev | — | 1371 |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| BigCodeBench Complete | 54.8% | — |

## Agentic & Tool Use

- Llama 3.1-70B: 24.9 (#104)
- Solar Pro4: —

| Benchmark | Llama 3.1-70B | Solar Pro4 |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |

## Reasoning

- Llama 3.1-70B: 20.8 (#215)
- Solar Pro4: 27.3 (#107)

| Benchmark | Llama 3.1-70B | Solar Pro4 |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1398 |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.91 | — |

## Math

- Llama 3.1-70B: 12.7 (#298)
- Solar Pro4: 36.1 (#129)

| Benchmark | Llama 3.1-70B | Solar Pro4 |
|---|---|---|
| LMArena Math | 1252 | 1418 |
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| MATH Level 5 | 36.7% | — |

## Knowledge

- Llama 3.1-70B: 24.1 (#264)
- Solar Pro4: 39.0 (#128)

| Benchmark | Llama 3.1-70B | Solar Pro4 |
|---|---|---|
| LMArena Expert | 1209 | 1421 |
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| MMLU | 80.1% | — |

## Multilingual

- Llama 3.1-70B: 38.9 (#220)
- Solar Pro4: 49.0 (#134)

| Benchmark | Llama 3.1-70B | Solar Pro4 |
|---|---|---|
| LMArena Non-English | 1219 | 1362 |
| LMArena Chinese | 1215 | 1417 |
| LMArena French | 1260 | 1403 |
| LMArena German | 1222 | 1351 |
| LMArena Japanese | 1132 | 1300 |
| LMArena Korean | 1140 | 1383 |
| LMArena Russian | 1234 | 1360 |
| LMArena Spanish | 1253 | 1408 |

## Instruction Following

- Llama 3.1-70B: 65.5 (#218)
- Solar Pro4: 72.8 (#128)

| Benchmark | Llama 3.1-70B | Solar Pro4 |
|---|---|---|
| LMArena Instruction Following | 1231 | 1376 |
| IFEval | 82.1% | — |

## Long Context

- Llama 3.1-70B: 37.6 (#208)
- Solar Pro4: 42.0 (#125)

| Benchmark | Llama 3.1-70B | Solar Pro4 |
|---|---|---|
| LMArena Longer Query | 1241 | 1379 |

## Writing & Preference

- Llama 3.1-70B: 35.6 (#262)
- Solar Pro4: 56.7 (#133)

| Benchmark | Llama 3.1-70B | Solar Pro4 |
|---|---|---|
| LMArena Text | 1261 | 1386 |
| LMArena Creative Writing | 1232 | 1313 |
| LMArena Multi-Turn | 1256 | 1391 |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |

## FAQ

### Is Llama 3.1-70B better than Solar Pro4?

Solar Pro4 is the stronger model overall, scoring 41.5 to 29.4 on the Noometry Index.

### Which is cheaper, Llama 3.1-70B or Solar Pro4?

Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Solar Pro4 lists at $0.30 and $1.20.

### Is Llama 3.1-70B or Solar Pro4 better for coding?

Solar Pro4 scores higher on coding benchmarks: 39.9 versus 29.8 in the Noometry coding category.

### Which has the bigger context window?

Solar Pro4 does, with 524K tokens against 128K.

### How many benchmarks do Llama 3.1-70B and Solar Pro4 share?

17 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Solar Pro4 has 18.
