Compare / head-to-head
Claude Opus 4.7vsGPT-5.6 Luna
Claude Opus 4.7 and GPT-5.6 Luna split their 6 shared benchmarks evenly. GPT-5.6 Luna is 21.4x 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
3 – 3
even split
Cheaper per token
GPT-5.6 Luna
21.4x cheaper, input + output
Larger context
GPT-5.6 Luna
1.1M tokens
Provider uptime (30d)
100% · 95.4023%
Anthropic · OpenAI
Claude Opus 4.7
Anthropic · released 2026-04-16
textvision
GPT-5.6 Luna
OpenAI · released 2026-07-09
textvision
Quality
Benchmark matrix
6 shared · 11 only Claude Opus 4.7 · 1 only GPT-5.6 Luna| Benchmark | Claude Opus 4.7 | GPT-5.6 Luna | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 6 | ||||
| GPQA Diamond | 94.2% ↗ | 92.3% ↗ | +1.9 pt | Claude Opus 4.7 |
| FrontierMath Tier 4 v2 (Epoch AI run) | 31.7% ↗epoch | 61% ↗epoch | -29.3 pt | GPT-5.6 Luna |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 70.2% ↗epoch | 82.1% ↗epoch | -11.9 pt | GPT-5.6 Luna |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 97.8% ↗epoch | 98.3% ↗epoch | -0.5 pt | GPT-5.6 Luna |
| SimpleQA Verified | 51.7% ↗epoch | 41% ↗epoch | +10.7 pt | Claude Opus 4.7 |
| SWE-Bench Pro | 64.3% ↗ | 62.7% ↗ | +1.6 pt | Claude Opus 4.7 |
| Only Claude Opus 4.7 reports · 11 | ||||
| SWE-bench Verified | 87.6% ↗ | not reported | — | — |
| AIME 2026 | 95.8% ↗matharena ⚠ | not reported | — | — |
| Humanity's Last Exam (no tools) | 46.9% ↗ | not reported | — | — |
| LMArena Elo | 1483.4 ↗ | not reported | — | — |
| BrowseComp | 79.8% ↗ | not reported | — | — |
| Humanity's Last Exam (with tools) | 54.7% ↗ | not reported | — | — |
| OSWorld-Verified | 82.8% ↗ | not reported | — | — |
| SWE-bench Multilingual | 80.5% ↗ | not reported | — | — |
| SWE-bench Multimodal | 34.5% ↗ | not reported | — | — |
| SWE-bench Verified (Epoch AI run) | 83.5% ↗epoch | not reported | — | — |
| Terminal-Bench 2.1 | 66.1% ↗ | not reported | — | — |
| Only GPT-5.6 Luna reports · 1 | ||||
| DeepSWE v1.1 | not reported | 67.2% ↗ | — | — |
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 4.7 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 4.7 | 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 | $5 ↗ | $0.2 ↗ | GPT-5.6 Luna |
| Output price / 1M | $25 ↗ | $1.2 ↗ | GPT-5.6 Luna |
| Cached input / 1M | $0.5 ↗ | $0.02 ↗ | GPT-5.6 Luna |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $30 | $1.4 | GPT-5.6 Luna |
| Modalities | text · vision | text · vision | Tie |
| Released | 2026-04-16 | 2026-07-09 | — |
| Cited benchmark scores | 18 | 8 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Claude Opus 4.7 vs …
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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 4.7 and GPT-5.6 Luna on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.