OpenAI GPT-5.6 Luna vs Qwen3.8 Flash
GPT-5.6 Luna has a slight edge on context and tooling; Qwen3.8 Flash is cheaper and supports video input.
Quick verdict
GPT-5.6 Luna is better for latency-sensitive agent and coding workflows. Qwen3.8 Flash is better for cost-sensitive multimodal and video intake.
Side-by-side comparison
| Field | OpenAI GPT-5.6 Luna | Qwen3.8 Flash |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context window | 1.05M tokens | 1M tokens |
| Input / 1M | $0.200 | $0.150 |
| Output / 1M | $1.20 | $0.470 |
| Modalities | Text, Vision, Files | Text, Vision, Video |
| Best for | Budget, Coding, Agents | Budget, Long Context, Multimodal |
Cost estimates
| Workload | Input | Output | OpenAI GPT-5.6 Luna | Qwen3.8 Flash |
|---|---|---|---|---|
| Quick test | 20,000 | 5,000 | $0.010 | $0.005 |
| Product chat month | 500,000 | 125,000 | $0.250 | $0.134 |
| Document batch | 5,000,000 | 1,000,000 | $2.20 | $1.22 |
Estimates use list input/output prices and exclude cache discounts, provider surcharges and tool fees.
Choose OpenAI GPT-5.6 Luna if
- ✓You want long context with strong tool support
- ✓Your workload is lightweight agentic automation
- ✓Your tests favor OpenAI output stability
Choose Qwen3.8 Flash if
- ✓You need video or image intake at low cost
- ✓Token volume is high and budget matters
- ✓Qwen meets your quality threshold in evaluation
FAQ
Is OpenAI GPT-5.6 Luna cheaper than Qwen3.8 Flash?
OpenAI GPT-5.6 Luna costs $0.200 input and $1.20 output per 1M tokens. Qwen3.8 Flash costs $0.150 input and $0.470 output per 1M tokens.
Which model has the larger context window?
OpenAI GPT-5.6 Luna offers 1.05M tokens; Qwen3.8 Flash offers 1M tokens. Provider-specific limits can vary by route.
Which one should I choose?
GPT-5.6 Luna is better for latency-sensitive agent and coding workflows. Qwen3.8 Flash is better for cost-sensitive multimodal and video intake.
Pricing and context data are based on a 2026-09-05 snapshot. Provider limits and pricing can change; verify on OpenRouter before production.