Compare / head-to-head
GPT-5.6 LunavsLongCat 2.0
GPT-5.6 Luna leads 1 of 1 shared benchmark. 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
1 – 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)
95.3216% · —
OpenAI · Meituan LongCat
GPT-5.6 Luna
OpenAI · released 2026-07-09
textvision
LongCat 2.0
Meituan LongCat · released 2026-06-30
text
- Context
- 1M
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 10 · 4 core
Quality
Benchmark matrix
1 shared · 6 only GPT-5.6 Luna · 9 only LongCat 2.0| Benchmark | GPT-5.6 Luna | LongCat 2.0 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| GPQA Diamond | 92.3% ↗ | 88.9% ↗ | +3.4 pt | GPT-5.6 Luna |
| Only GPT-5.6 Luna reports · 6 | ||||
| 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 LongCat 2.0 reports · 9 | ||||
| BrowseComp | not reported | 79.9% ↗ | — | — |
| FORTE | not reported | 73.2% ↗ | — | — |
| IFEval | not reported | 90% ↗ | — | — |
| IMO-AnswerBench | not reported | 81.8% ↗ | — | — |
| RWSearch | not reported | 78.8% ↗ | — | — |
| SWE-bench Multilingual | not reported | 77.3% ↗ | — | — |
| SWE-bench Pro | not reported | 59.5% ↗ | — | — |
| Terminal-Bench 2.1 | not reported | 70.8% ↗ | — | — |
| Writing Bench | not reported | 83.8% ↗ | — | — |
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 LongCat 2.0 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 | LongCat 2.0 | Edge |
|---|---|---|---|
| Context window | 1.1M tokens | 1M tokens | GPT-5.6 Luna |
| Max output | 128K tokens | — | — |
| 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 | 2026-06-30 | — |
| Cited benchmark scores | 8 | 10 | — |
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
LongCat 2.0 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 LongCat 2.0 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.