# GPT-6 Luna vs Solar Pro4

> GPT-6 Luna is the stronger model overall, scoring 45.1 to 41.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-luna-vs-solar-pro4
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GPT-6 Luna scores higher in 7 categories and Solar Pro4 in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-6 Luna leads 54.7 to 39.9.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.30 / $1.20 for Solar Pro4.
- GPT-6 Luna accepts more context: 1.05M tokens versus 524K.

## Snapshot

| | GPT-6 Luna | Solar Pro4 |
|---|---|---|
| Provider | OpenAI | Upstage |
| Noometry Index | 45.1 | 41.5 |
| Rank | 65 | 123 |
| Context | 1.05M | 524K |
| Input $/M | $0.10 | $0.30 |
| Output $/M | $0.50 | $1.20 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-6 Luna: 54.7 (#24)
- Solar Pro4: 39.9 (#135)

| Benchmark | GPT-6 Luna | Solar Pro4 |
|---|---|---|
| LMArena WebDev | 1583 | 1371 |
| LMArena Coding | 1448 | 1439 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |

## Reasoning

- GPT-6 Luna: 31.7 (#68)
- Solar Pro4: 27.3 (#107)

| Benchmark | GPT-6 Luna | Solar Pro4 |
|---|---|---|
| LMArena Hard Prompts | 1415 | 1398 |
| NYT Connections (extended) | 68.7% | — |

## Math

- GPT-6 Luna: 35.6 (#140)
- Solar Pro4: 36.1 (#129)

| Benchmark | GPT-6 Luna | Solar Pro4 |
|---|---|---|
| LMArena Math | 1396 | 1418 |

## Knowledge

- GPT-6 Luna: 40.1 (#110)
- Solar Pro4: 39.0 (#128)

| Benchmark | GPT-6 Luna | Solar Pro4 |
|---|---|---|
| LMArena Expert | 1458 | 1421 |

## Multimodal

- GPT-6 Luna: 42.0 (#27)
- Solar Pro4: —

| Benchmark | GPT-6 Luna | Solar Pro4 |
|---|---|---|
| Furniture Assembly | 44.2% | — |

## Multilingual

- GPT-6 Luna: 51.0 (#111)
- Solar Pro4: 49.0 (#134)

| Benchmark | GPT-6 Luna | Solar Pro4 |
|---|---|---|
| LMArena Non-English | 1390 | 1362 |
| LMArena Chinese | 1425 | 1417 |
| LMArena Russian | 1392 | 1360 |
| LMArena Spanish | 1416 | 1408 |
| LMArena French | — | 1403 |
| LMArena German | — | 1351 |
| LMArena Japanese | — | 1300 |
| LMArena Korean | — | 1383 |

## Instruction Following

- GPT-6 Luna: 74.7 (#85)
- Solar Pro4: 72.8 (#128)

| Benchmark | GPT-6 Luna | Solar Pro4 |
|---|---|---|
| LMArena Instruction Following | 1414 | 1376 |

## Long Context

- GPT-6 Luna: 43.3 (#95)
- Solar Pro4: 42.0 (#125)

| Benchmark | GPT-6 Luna | Solar Pro4 |
|---|---|---|
| LMArena Longer Query | 1417 | 1379 |

## Writing & Preference

- GPT-6 Luna: 58.4 (#115)
- Solar Pro4: 56.7 (#133)

| Benchmark | GPT-6 Luna | Solar Pro4 |
|---|---|---|
| LMArena Text | 1392 | 1386 |
| LMArena Creative Writing | 1357 | 1313 |
| LMArena Multi-Turn | 1400 | 1391 |

## FAQ

### Is GPT-6 Luna better than Solar Pro4?

GPT-6 Luna is the stronger model overall, scoring 45.1 to 41.5 on the Noometry Index.

### Which is cheaper, GPT-6 Luna or Solar Pro4?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Solar Pro4 lists at $0.30 and $1.20.

### Is GPT-6 Luna or Solar Pro4 better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 39.9 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 524K.

### How many benchmarks do GPT-6 Luna and Solar Pro4 share?

14 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Solar Pro4 has 18.
