Compare / head-to-head
GPT-5.6 LunavsPhi-4
GPT-5.6 Luna leads 2 of 2 shared benchmarks. GPT-5.6 Luna has the larger context window (1.1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
2 – 0
GPT-5.6 Luna leads
Cheaper per token
—
list price, input + output
Larger context
GPT-5.6 Luna
1.1M tokens
Provider uptime (30d)
95.4286% · —
OpenAI · Microsoft
GPT-5.6 Luna
OpenAI · released 2026-07-09
textvision
Phi-4
Microsoft · released 2024-12-12
text
- Context
- 16K
- Max out
- 16K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 11 · 7 core
Quality
Benchmark matrix
2 shared · 5 only GPT-5.6 Luna · 8 only Phi-4| Benchmark | GPT-5.6 Luna | Phi-4 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 2 | ||||
| GPQA Diamond | 92.3% ↗ | 56.1% ↗ | +36.2 pt | GPT-5.6 Luna |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 98.3% ↗epoch | 13.8% ↗epoch | +84.5 pt | GPT-5.6 Luna |
| Only GPT-5.6 Luna reports · 5 | ||||
| DeepSWE v1.1 | 67.2% ↗ | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 61% ↗epoch | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 82.1% ↗epoch | not reported | — | — |
| SimpleQA Verified | 41% ↗epoch | not reported | — | — |
| SWE-Bench Pro | 62.7% ↗ | not reported | — | — |
| Only Phi-4 reports · 8 | ||||
| MMLU | not reported | 84.8% ↗ | — | — |
| MMLU-Pro | not reported | 70.4% ↗ | — | — |
| HumanEval | not reported | 82.6% ↗ | — | — |
| LMArena Elo | not reported | 1216.6 ↗ | — | — |
| ArenaHard | not reported | 75.4% ↗ | — | — |
| HumanEval+ | not reported | 82.8% ↗ | — | — |
| IFEval | not reported | 63% ↗ | — | — |
| MATH | not reported | 80.4% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is GPT-5.6 Luna minus Phi-4 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | GPT-5.6 Luna | Phi-4 | Edge |
|---|---|---|---|
| Context window | 1.1M tokens | 16K tokens | GPT-5.6 Luna |
| Max output | 128K tokens | 16K tokens | GPT-5.6 Luna |
| Input price / 1M | $0.2 ↗ | — | — |
| Output price / 1M | $1.2 ↗ | — | — |
| Cached input / 1M | $0.02 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $1.4 | — | — |
| Modalities | text · vision | text | GPT-5.6 Luna |
| Released | 2026-07-09 | 2024-12-12 | — |
| Cited benchmark scores | 8 | 11 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GPT-5.6 Luna vs …
Models sharing the most benchmarksMore matchups
Phi-4 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GPT-5.6 Luna and Phi-4 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.