Compare GPT‑6 Luna (OpenAI) and Qwen3.8-Omni-Flash (Qwen) by price, context, capabilities, and latency.
Side by side
Compare price, provider, context, capabilities, latency, and source basis.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| GPT‑6 Lunaopenai/gpt-6-luna | OpenAI | Starting at $0.1 / 1M tokens | $0.5 / 1M tokens | 1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1722-2681ms | Catalog | Platform curated |
| Qwen3.8-Omni-Flashqwen/qwen3.8-omni-flash | Qwen | $0.12 / 1M tokens | $0.4 / 1M tokens | 1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 2986-9911ms | Catalog | Platform curated |
FAQ
Qwen3.8-Omni-Flash is cheaper ($0.12 / 1M tokens input / $0.4 / 1M tokens output) vs GPT‑6 Luna ($0.1 / 1M tokens input / $0.5 / 1M tokens output). Actual cost depends on your input/output token mix — estimate it with the pricing calculator.
Both offer the same context window: 1M tokens.
Both target Vision. Pick Qwen3.8-Omni-Flash to optimize cost, or GPT‑6 Luna for the longer context window. Test both on real prompts before committing production traffic.
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