Model comparison
GPT-6 Luna vs Sonar
GPT-6 Luna is the stronger model overall, scoring 45.1 to 37.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
PerplexitySummary
- The widest gap is in coding, where GPT-6 Luna leads 54.7 to 35.1.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $1 / $1 for Sonar.
- GPT-6 Luna accepts more context: 1.05M tokens versus 128K.
Side by side
| GPT-6 Luna | Sonar | |
|---|---|---|
| Provider | OpenAI | Perplexity |
| Noometry Index | 45.1 | 37.8 |
| Released | 2026-09-22 | 2024-01-01 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 128K |
| Max output | 128K | 4K |
| Input $ / M tokens | $0.10 | $1 |
| Output $ / M tokens | $0.50 | $1 |
| Results tracked | 18 | 7 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 54.7 (#24), Sonar: 35.1 (#217)
| Benchmark | GPT-6 Luna | Sonar |
|---|---|---|
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
| LiveBench Coding | — | 35.1% |
| LMArena Coding | 1448 | — |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 31.7 (#68), Sonar: 20.3 (#221)
| Benchmark | GPT-6 Luna | Sonar |
|---|---|---|
| NYT Connections (extended) | 68.7% | — |
| LiveBench Reasoning | — | 46.3% |
| LMArena Hard Prompts | 1415 | — |
| LiveBench Data Analysis | — | 37.9% |
| LiveBench | — | 46.9% |
Math GPT-6 Luna leads
GPT-6 Luna: 35.6 (#140), Sonar: 31.3 (#197)
| Benchmark | GPT-6 Luna | Sonar |
|---|---|---|
| LiveBench Math | — | 41.6% |
| LMArena Math | 1396 | — |
Knowledge Not comparable
GPT-6 Luna: 40.1 (#110), Sonar: —
| Benchmark | GPT-6 Luna | Sonar |
|---|---|---|
| LMArena Expert | 1458 | — |
Multimodal Not comparable
GPT-6 Luna: 42.0 (#27), Sonar: —
| Benchmark | GPT-6 Luna | Sonar |
|---|---|---|
| Furniture Assembly | 44.2% | — |
Multilingual Not comparable
GPT-6 Luna: 51.0 (#111), Sonar: —
| Benchmark | GPT-6 Luna | Sonar |
|---|---|---|
| LMArena Non-English | 1390 | — |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1392 | — |
| LMArena Spanish | 1416 | — |
Instruction Following GPT-6 Luna leads
GPT-6 Luna: 74.7 (#85), Sonar: 71.5 (#146)
| Benchmark | GPT-6 Luna | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
GPT-6 Luna: 43.3 (#95), Sonar: —
| Benchmark | GPT-6 Luna | Sonar |
|---|---|---|
| LMArena Longer Query | 1417 | — |
Writing & Preference GPT-6 Luna leads
GPT-6 Luna: 58.4 (#115), Sonar: 52.6 (#166)
| Benchmark | GPT-6 Luna | Sonar |
|---|---|---|
| LMArena Text | 1392 | — |
| LMArena Creative Writing | 1357 | — |
| LMArena Multi-Turn | 1400 | — |
| LiveBench Language | — | 44.1% |
Frequently asked questions
Is GPT-6 Luna better than Sonar?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 37.8 on the Noometry Index.
Which is cheaper, GPT-6 Luna or Sonar?
GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Sonar lists at $1 and $1.
Is GPT-6 Luna or Sonar better for coding?
GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 35.1 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 128K.
How many benchmarks do GPT-6 Luna and Sonar share?
0 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Sonar has 7.