Compare / head-to-head
GPT-5.6 LunavsQwen3.6-Flash
GPT-5.6 Luna leads 4 of 4 shared benchmarks. Qwen3.6-Flash is 1.2x 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
4 – 0
GPT-5.6 Luna leads
Cheaper per token
Qwen3.6-Flash
1.2x cheaper, input + output
Larger context
GPT-5.6 Luna
1.1M tokens
Provider uptime (30d)
94.2446% · —
OpenAI · Qwen
GPT-5.6 Luna
OpenAI · released 2026-07-09
textvision
Qwen3.6-Flash
Qwen · released 2026-04-16
textvision
Quality
Benchmark matrix
4 shared · 3 only GPT-5.6 Luna · 0 only Qwen3.6-Flash| Benchmark | GPT-5.6 Luna | Qwen3.6-Flash | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 4 | ||||
| GPQA Diamond | 92.3% ↗ | 83.3% ↗epoch | +9 pt | GPT-5.6 Luna |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 82.1% ↗epoch | 17.2% ↗epoch | +64.9 pt | GPT-5.6 Luna |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 98.3% ↗epoch | 84.4% ↗epoch | +13.9 pt | GPT-5.6 Luna |
| SimpleQA Verified | 41% ↗epoch | 15.9% ↗epoch | +25.1 pt | GPT-5.6 Luna |
| Only GPT-5.6 Luna reports · 3 | ||||
| DeepSWE v1.1 | 67.2% ↗ | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 61% ↗epoch | not reported | — | — |
| SWE-Bench Pro | 62.7% ↗ | not reported | — | — |
| Only Qwen3.6-Flash reports · 0 | ||||
| Qwen3.6-Flash reports nothing GPT-5.6 Luna does not. | ||||
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 Qwen3.6-Flash 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 | Qwen3.6-Flash | Edge |
|---|---|---|---|
| Context window | 1.1M tokens | 1M tokens | GPT-5.6 Luna |
| Max output | 128K tokens | — | — |
| Input price / 1M | $0.2 ↗ | $0.165 ↗ | Qwen3.6-Flash |
| Output price / 1M | $1.2 ↗ | $0.99 ↗ | Qwen3.6-Flash |
| Cached input / 1M | $0.02 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $1.4 | $1.16 | Qwen3.6-Flash |
| Modalities | text · vision | text · vision | Tie |
| Released | 2026-07-09 | 2026-04-16 | — |
| Cited benchmark scores | 8 | 4 | — |
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
Qwen3.6-Flash 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 Qwen3.6-Flash on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.