Compare / head-to-head
GPT-6 Lunavs
Kimi K2.5
GPT-6 Luna and Kimi K2.5 split their 4 shared benchmarks evenly. 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
2 – 2
even split
Cheaper per token
—
list price, input + output
Larger context
GPT-6 Luna
1.1M tokens
Providers
2 providers
OpenAI · Moonshot AI
GPT-6 Luna
OpenAI · released 2026-09-22
textvision
Kimi K2.5
Moonshot AI · released 2026-01-27
textvisionvideo
- Context
- 256K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 26 · 14 core
Quality
Benchmark matrix
4 shared · 18 only GPT-6 Luna · 22 only Kimi K2.5| Benchmark | GPT-6 Luna | Kimi K2.5 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 4 | ||||
| LMArena Elo | 1442.9 ↗ | 1450.1 ↗ | -7.2 | Kimi K2.5 |
| LMArena WebDev (LMArena) | 1578.7 ↗ | 1435.8 ↗ | +142.9 | GPT-6 Luna |
| SAGE (Vals AI) | 48.1% ↗ | 49.9% ↗ | -1.8 pt | Kimi K2.5 |
| SimpleQA Verified | 41.4% ↗epoch run | 34.3% ↗epoch run | +7.1 pt | GPT-6 Luna |
| Only GPT-6 Luna reports · 18 | ||||
| GPQA Diamond | 90.5% ↗epoch run | 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 | — | — |
| 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 | — | — |
| Terminal-Bench 4.0 (Vals AI) | 13.6% ↗ | not reported | — | — |
| Only Kimi K2.5 reports · 22 | ||||
| SWE-bench Verified | not reported | 76.8% ↗ | — | — |
| MMLU-Pro | not reported | 87.1% ↗ | — | — |
| AIME 2025 | not reported | 96.1% ↗ | — | — |
| BrowseComp | not reported | 60.6% ↗ | — | — |
| GPQA-Diamond | not reported | 87.6% ↗ | — | — |
| HLE-Full | not reported | 30.1% ↗ | — | — |
| HLE-Full (w/ tools) | not reported | 50.2% ↗ | — | — |
| HMMT 2025 (Feb) | not reported | 95.4% ↗ | — | — |
| IMO-AnswerBench | not reported | 81.8% ↗ | — | — |
| LiveCodeBench (v6) | not reported | 85% ↗ | — | — |
| LMArena Vision (LMArena) | not reported | 1252.2 ↗ | — | — |
| MMMU-Pro | not reported | 78.5% ↗ | — | — |
| OSWorld-Verified (XLANG) | not reported | 63.3% ↗ | — | — |
| SimpleBench (SimpleBench) | not reported | 46.8% ↗ | — | — |
| SWE-Bench Multilingual | not reported | 73% ↗ | — | — |
| SWE-Bench Pro | not reported | 50.7% ↗ | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 73.8% ↗epoch run | — | — |
| Terminal Bench 2.0 | not reported | 50.8% ↗ | — | — |
| Toolathlon-Verified (HKUST) | not reported | 33% ↗ | — | — |
| Vending-Bench 2 (Andon Labs) | not reported | 1198.46 ↗ | — | — |
| VideoMMMU | not reported | 86.6% ↗ | — | — |
| WeirdML (Håvard Tveit Ihle) | not reported | 45.6% ↗ | — | — |
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 Kimi K2.5 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 | Kimi K2.5 | Edge |
|---|---|---|---|
| Context window | 1.1M tokens | 256K tokens | GPT-6 Luna |
| Max output | 128K tokens | — | — |
| Input price / 1M | $0.1 ↗ | — | — |
| Output price / 1M | $0.5 ↗ | — | — |
| Cached input / 1M | $0.01 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $0.6 | — | — |
| Modalities | text · vision | text · vision · video | Kimi K2.5 |
| Released | 2026-09-22 | 2026-01-27 | — |
| Cited benchmark scores | 22 | 26 | — |
Reliability
Provider status
Live from /statusMore matchups
GPT-6 Luna vs …
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Kimi K2.5 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 Kimi K2.5 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.