Model comparison
GPT-6 Luna vs Magistral Medium
GPT-6 Luna is the stronger model overall, scoring 45.1 to 34.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Mistral AISummary
- They share 13 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and Magistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Luna leads 31.7 to 8.7.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $2 / $5 for Magistral Medium.
- GPT-6 Luna accepts more context: 1.05M tokens versus 128K.
- Magistral Medium has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Luna | Magistral Medium | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 45.1 | 34.8 |
| Released | 2026-09-22 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 128K | 16K |
| Input $ / M tokens | $0.10 | $2 |
| Output $ / M tokens | $0.50 | $5 |
| Results tracked | 18 | 22 |
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Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 54.7 (#24), Magistral Medium: 38.6 (#161)
| Benchmark | GPT-6 Luna | Magistral Medium |
|---|---|---|
| LMArena Coding | 1448 | 1319 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
| SciCode | — | 39.2% |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 31.7 (#68), Magistral Medium: 8.7 (#342)
| Benchmark | GPT-6 Luna | Magistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1415 | 1267 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 16.2% |
| NYT Connections (extended) | 68.7% | — |
| ARC-AGI-1 | — | 6.1% |
| CritPt | — | 0.3% |
Math GPT-6 Luna leads
GPT-6 Luna: 35.6 (#140), Magistral Medium: 32.4 (#187)
| Benchmark | GPT-6 Luna | Magistral Medium |
|---|---|---|
| LMArena Math | 1396 | 1249 |
Knowledge GPT-6 Luna leads
GPT-6 Luna: 40.1 (#110), Magistral Medium: 32.9 (#199)
| Benchmark | GPT-6 Luna | Magistral Medium |
|---|---|---|
| LMArena Expert | 1458 | 1222 |
Multimodal Not comparable
GPT-6 Luna: 42.0 (#27), Magistral Medium: —
| Benchmark | GPT-6 Luna | Magistral Medium |
|---|---|---|
| Furniture Assembly | 44.2% | — |
Multilingual GPT-6 Luna leads
GPT-6 Luna: 51.0 (#111), Magistral Medium: 39.8 (#219)
| Benchmark | GPT-6 Luna | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1390 | 1232 |
| LMArena Chinese | 1425 | 1225 |
| LMArena Russian | 1392 | 1224 |
| LMArena Spanish | 1416 | 1269 |
| LMArena French | — | 1268 |
| LMArena German | — | 1248 |
| LMArena Japanese | — | 1176 |
| LMArena Korean | — | 1125 |
Instruction Following GPT-6 Luna leads
GPT-6 Luna: 74.7 (#85), Magistral Medium: 66.2 (#207)
| Benchmark | GPT-6 Luna | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1414 | 1254 |
Long Context GPT-6 Luna leads
GPT-6 Luna: 43.3 (#95), Magistral Medium: 39.3 (#178)
| Benchmark | GPT-6 Luna | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1417 | 1295 |
Writing & Preference GPT-6 Luna leads
GPT-6 Luna: 58.4 (#115), Magistral Medium: 46.5 (#214)
| Benchmark | GPT-6 Luna | Magistral Medium |
|---|---|---|
| LMArena Text | 1392 | 1255 |
| LMArena Creative Writing | 1357 | 1245 |
| LMArena Multi-Turn | 1400 | 1275 |
Frequently asked questions
Is GPT-6 Luna better than Magistral Medium?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 34.8 on the Noometry Index.
Which is cheaper, GPT-6 Luna or Magistral Medium?
GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Magistral Medium lists at $2 and $5.
Is GPT-6 Luna or Magistral Medium better for coding?
GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 38.6 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 Magistral Medium share?
13 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Magistral Medium has 22.