Compare / head-to-head
Claude Opus 5.5vs
GPT-5.6 Luna
Claude Opus 5.5 and GPT-5.6 Luna do not yet share a public benchmark, so quality cannot be compared apples-to-apples. GPT-5.6 Luna is 17.1x 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
17.1x cheaper, input + output
Larger context
GPT-5.6 Luna
1.1M tokens
Providers
2 providers
Anthropic · OpenAI
Claude Opus 5.5
Anthropic · released 2026-09-22
textvision
GPT-5.6 Luna
OpenAI · released 2026-07-09
textvision
Quality
Benchmark matrix
0 shared · 9 only Claude Opus 5.5 · 7 only GPT-5.6 Luna| Benchmark | Claude Opus 5.5 | GPT-5.6 Luna | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only Claude Opus 5.5 reports · 9 | ||||
| AutomationBench 1.0.6 | 40% ↗ | not reported | — | — |
| Chartography (with tools) | 89% ↗ | not reported | — | — |
| CursorBench 4.0 | 57.8% ↗ | not reported | — | — |
| FrontierCode v1.1 (Main) | 54.4% ↗ | not reported | — | — |
| GDPval-AA v2.1 | 1846 ↗ | not reported | — | — |
| Humanity's Last Exam (with tools) | 67.7% ↗ | not reported | — | — |
| OSWorld 2.0 (partial) | 81.8% ↗ | not reported | — | — |
| Terminal-Bench 4.0 | 66.4% ↗ | not reported | — | — |
| Terminal-Bench Science 0.1 | 58.7% ↗ | not reported | — | — |
| Only GPT-5.6 Luna reports · 7 | ||||
| GPQA Diamond | not reported | 92.3% ↗ | — | — |
| DeepSWE v1.1 | not reported | 67.2% ↗ | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 61% ↗epoch | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 82.1% ↗epoch | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 98.3% ↗epoch | — | — |
| SimpleQA Verified | not reported | 41% ↗epoch | — | — |
| SWE-Bench Pro | not reported | 62.7% ↗ | — | — |
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 Claude Opus 5.5 minus GPT-5.6 Luna 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 | Claude Opus 5.5 | GPT-5.6 Luna | Edge |
|---|---|---|---|
| Context window | 1M tokens | 1.1M tokens | GPT-5.6 Luna |
| Max output | 128K tokens | 128K tokens | Tie |
| Input price / 1M | $4 ↗ | $0.2 ↗ | GPT-5.6 Luna |
| Output price / 1M | $20 ↗ | $1.2 ↗ | GPT-5.6 Luna |
| Cached input / 1M | $0.2 ↗ | $0.02 ↗ | GPT-5.6 Luna |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $24 | $1.4 | GPT-5.6 Luna |
| Modalities | text · vision | text · vision | Tie |
| Released | 2026-09-22 | 2026-07-09 | — |
| Cited benchmark scores | 9 | 8 | — |
Reliability
Provider status
Live from /statusMore matchups
Claude Opus 5.5 vs …
Models sharing the most benchmarksMore matchups
GPT-5.6 Luna vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Claude Opus 5.5 and GPT-5.6 Luna on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.