Compare / head-to-head
GPT-5.6 LunavsMiniMax M2.7
GPT-5.6 Luna and MiniMax M2.7 do not yet share a public benchmark, so quality cannot be compared apples-to-apples. GPT-5.6 Luna is 1.1x cheaper per token. 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
0
no overlap yet
Cheaper per token
GPT-5.6 Luna
1.1x cheaper, input + output
Larger context
GPT-5.6 Luna
1.1M tokens
Provider uptime (30d)
95.493% · 100%
OpenAI · MiniMax
GPT-5.6 Luna
OpenAI · released 2026-07-09
textvision
MiniMax M2.7
MiniMax · released 2026-03-18
text
Quality
Benchmark matrix
0 shared · 7 only GPT-5.6 Luna · 1 only MiniMax M2.7| Benchmark | GPT-5.6 Luna | MiniMax M2.7 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only GPT-5.6 Luna reports · 7 | ||||
| GPQA Diamond | 92.3% ↗ | not reported | — | — |
| 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 | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 98.3% ↗epoch | not reported | — | — |
| SimpleQA Verified | 41% ↗epoch | not reported | — | — |
| SWE-Bench Pro | 62.7% ↗ | not reported | — | — |
| Only MiniMax M2.7 reports · 1 | ||||
| LMArena Elo | not reported | 1404.6 ↗ | — | — |
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 MiniMax M2.7 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 | MiniMax M2.7 | Edge |
|---|---|---|---|
| Context window | 1.1M tokens | 205K tokens | GPT-5.6 Luna |
| Max output | 128K tokens | — | — |
| Input price / 1M | $0.2 ↗ | $0.3 ↗ | GPT-5.6 Luna |
| Output price / 1M | $1.2 ↗ | $1.2 ↗ | Tie |
| Cached input / 1M | $0.02 ↗ | $0.06 ↗ | GPT-5.6 Luna |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $1.4 | $1.5 | GPT-5.6 Luna |
| Modalities | text · vision | text | GPT-5.6 Luna |
| Released | 2026-07-09 | 2026-03-18 | — |
| Cited benchmark scores | 8 | 1 | — |
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
MiniMax M2.7 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 MiniMax M2.7 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.