Model comparison
GPT-6 Luna vs Phi-3.5-MoE
GPT-6 Luna has enough public results to be ranked (#36); Phi-3.5-MoE does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- Phi-3.5-MoE has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Luna | Phi-3.5-MoE | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 53.3 | — |
| Released | 2026-09-22 | 2024-08-17 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 42 | 3 |
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Category by category
Coding Not comparable
GPT-6 Luna: 55.5 (#25), Phi-3.5-MoE: —
| Benchmark | GPT-6 Luna | Phi-3.5-MoE |
|---|---|---|
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1581 | — |
| SciCode | 54.6% | — |
| LMArena Coding | 1439 | — |
| ALE-Bench | 1,577 | — |
Agentic & Tool Use Not comparable
GPT-6 Luna: 33.3 (#54), Phi-3.5-MoE: —
| Benchmark | GPT-6 Luna | Phi-3.5-MoE |
|---|---|---|
| APEX-Agents | 44.3% | — |
| GDP.pdf | 23% | — |
Reasoning Not comparable
GPT-6 Luna: 48.2 (#41), Phi-3.5-MoE: —
| Benchmark | GPT-6 Luna | Phi-3.5-MoE |
|---|---|---|
| ARC-AGI-2 | 59.3% | — |
| NYT Connections (extended) | 68.7% | — |
| ARC-AGI-1 | 86.7% | — |
| CritPt | 19.4% | — |
| Chess Puzzles | 31% | — |
| LMArena Hard Prompts | 1411 | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 90.1% | — |
| LMCA | 44.5% | — |
| Epoch Capabilities Index | 156.28 | — |
| PIQA | — | 88.6% |
Math Not comparable
GPT-6 Luna: 76.1 (#15), Phi-3.5-MoE: —
| Benchmark | GPT-6 Luna | Phi-3.5-MoE |
|---|---|---|
| FrontierMath (Tiers 1-3) | 78.9% | — |
| FrontierMath Tier 4 | 56.1% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 64% | — |
| LMArena Math | 1416 | — |
| GSM8K | — | 88.7% |
Knowledge Not comparable
GPT-6 Luna: 57.0 (#41), Phi-3.5-MoE: —
| Benchmark | GPT-6 Luna | Phi-3.5-MoE |
|---|---|---|
| GPQA Diamond | 90.5% | — |
| SimpleQA Verified | 41.4% | — |
| LMArena Expert | 1444 | — |
| BoolQ | — | 84.6% |
Multimodal Not comparable
GPT-6 Luna: 42.4 (#30), Phi-3.5-MoE: —
| Benchmark | GPT-6 Luna | Phi-3.5-MoE |
|---|---|---|
| LMArena Vision | 1217 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 44.2% | — |
Multilingual Not comparable
GPT-6 Luna: 50.5 (#117), Phi-3.5-MoE: —
| Benchmark | GPT-6 Luna | Phi-3.5-MoE |
|---|---|---|
| LMArena Non-English | 1386 | — |
| LMArena Chinese | 1433 | — |
| LMArena French | 1420 | — |
| LMArena German | 1369 | — |
| LMArena Japanese | 1369 | — |
| LMArena Korean | 1360 | — |
| LMArena Russian | 1394 | — |
| LMArena Spanish | 1393 | — |
Instruction Following Not comparable
GPT-6 Luna: 74.3 (#99), Phi-3.5-MoE: —
| Benchmark | GPT-6 Luna | Phi-3.5-MoE |
|---|---|---|
| LMArena Instruction Following | 1409 | — |
Long Context Not comparable
GPT-6 Luna: 43.0 (#111), Phi-3.5-MoE: —
| Benchmark | GPT-6 Luna | Phi-3.5-MoE |
|---|---|---|
| LMArena Longer Query | 1409 | — |
Writing & Preference Not comparable
GPT-6 Luna: 58.3 (#119), Phi-3.5-MoE: —
| Benchmark | GPT-6 Luna | Phi-3.5-MoE |
|---|---|---|
| LMArena Text | 1391 | — |
| LMArena Creative Writing | 1363 | — |
| LMArena Multi-Turn | 1396 | — |
Frequently asked questions
Is GPT-6 Luna better than Phi-3.5-MoE?
GPT-6 Luna has enough public results to be ranked (#36); Phi-3.5-MoE does not yet, so treat this comparison as directional.
How many benchmarks do GPT-6 Luna and Phi-3.5-MoE share?
0 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Phi-3.5-MoE has 3.