Compare / head-to-head
GPT-6 Lunavs
MiniMax M2.1
GPT-6 Luna and MiniMax M2.1 do not yet share a public benchmark, so quality cannot be compared apples-to-apples. GPT-6 Luna is 2.5x cheaper per token. GPT-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-6 Luna
2.5x cheaper, input + output
Larger context
GPT-6 Luna
1.1M tokens
Providers
2 providers
OpenAI · MiniMax
GPT-6 Luna
OpenAI · released 2026-09-22
textvision
MiniMax M2.1
MiniMax · released 2025-12-22
text
Quality
Benchmark matrix
0 shared · 22 only GPT-6 Luna · 13 only MiniMax M2.1| Benchmark | GPT-6 Luna | MiniMax M2.1 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only GPT-6 Luna reports · 22 | ||||
| GPQA Diamond | 90.5% ↗epoch run | not reported | — | — |
| LMArena Elo | 1442.9 ↗ | not reported | — | — |
| APEX-Agents (Mercor) | 44.3% ↗ | not reported | — | — |
| Chess Puzzles (Epoch AI run) | 31% ↗epoch run | not reported | — | — |
| DeepSWE v1.1 | 66.6% ↗ | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 56.1% ↗epoch run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 78.9% ↗epoch run | not reported | — | — |
| Furniture Assembly (Epoch AI run) | 44.2% ↗epoch run | not reported | — | — |
| LiveBench Agentic Coding (LiveBench) | 51.2% ↗ | not reported | — | — |
| LiveBench Coding (LiveBench) | 79% ↗ | not reported | — | — |
| LiveBench Data Analysis (LiveBench) | 73.4% ↗ | not reported | — | — |
| LiveBench Instruction Following (LiveBench) | 55.9% ↗ | not reported | — | — |
| LiveBench Language (LiveBench) | 73.8% ↗ | not reported | — | — |
| LiveBench Mathematics (LiveBench) | 89.1% ↗ | not reported | — | — |
| LiveBench Reasoning (LiveBench) | 81.8% ↗ | not reported | — | — |
| LMArena Agent (LMArena) | 0.0135 ↗ | not reported | — | — |
| LMArena WebDev (LMArena) | 1578.7 ↗ | not reported | — | — |
| Mystery Game Puzzles (Epoch AI run) | 7% ↗epoch run | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 98.9% ↗epoch run | not reported | — | — |
| SAGE (Vals AI) | 48.1% ↗ | not reported | — | — |
| SimpleQA Verified | 41.4% ↗epoch run | not reported | — | — |
| Terminal-Bench 4.0 (Vals AI) | 13.6% ↗ | not reported | — | — |
| Only MiniMax M2.1 reports · 13 | ||||
| SWE-bench Verified | not reported | 74% ↗ | — | — |
| BrowseComp | not reported | 47.4% ↗ | — | — |
| BrowseComp (context management) | not reported | 62% ↗ | — | — |
| Multi-SWE-bench | not reported | 49.4% ↗ | — | — |
| OctoCodingbench | not reported | 26.1% ↗ | — | — |
| SimpleBench (SimpleBench) | not reported | 34.7% ↗ | — | — |
| SWE-bench Multilingual | not reported | 72.5% ↗ | — | — |
| SWE-bench Verified (Droid) | not reported | 71.3% ↗ | — | — |
| SWE-bench Verified (mini-swe-agent) | not reported | 67% ↗ | — | — |
| SWT-bench | not reported | 69.3% ↗ | — | — |
| Terminal-bench 2.0 | not reported | 47.9% ↗ | — | — |
| Toolathlon | not reported | 43.5% ↗ | — | — |
| VIBE (Average) | not reported | 88.6% ↗ | — | — |
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-6 Luna minus MiniMax M2.1 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-6 Luna | MiniMax M2.1 | Edge |
|---|---|---|---|
| Context window | 1.1M tokens | 205K tokens | GPT-6 Luna |
| Max output | 128K tokens | — | — |
| Input price / 1M | $0.1 ↗ | $0.3 ↗ | GPT-6 Luna |
| Output price / 1M | $0.5 ↗ | $1.2 ↗ | GPT-6 Luna |
| Cached input / 1M | $0.01 ↗ | $0.03 ↗ | GPT-6 Luna |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $0.6 | $1.5 | GPT-6 Luna |
| Modalities | text · vision | text | GPT-6 Luna |
| Released | 2026-09-22 | 2025-12-22 | — |
| Cited benchmark scores | 22 | 13 | — |
Reliability
Provider status
Live from /statusMore matchups
GPT-6 Luna vs …
Models sharing the most benchmarksMore matchups
MiniMax M2.1 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GPT-6 Luna and MiniMax M2.1 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.