GPT-6 Luna Pro is $0.05 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
API cost decision in 10 seconds
NewGPT-6 Luna Pro vs NewQwen3.8 Omni Flash
Pick GPT-6 Luna Pro when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GPT-6 Luna Pro when budget and context both matter.
On the standard 1M input plus 500K output workload, GPT-6 Luna Pro is estimated at $0.35 vs $0.39 for Qwen3.8 Omni Flash, saving $0.04 (9.1% lower).
Cost-first pickGPT-6 Luna Pro
Context-first pickGPT-6 Luna Pro
Sample savings$0.049.1%
10x traffic gap$0.35
GPT-6 Luna Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.35. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors GPT-6 Luna Pro, balanced workload favors GPT-6 Luna Pro, and output-heavy chatbot favors Qwen3.8 Omni Flash.
| Workload shape | Token mix | Better pick | GPT-6 Luna Pro | Qwen3.8 Omni Flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-6 Luna Pro | $0.75 | $0.98 |
| Balanced workload | 1M input + 1M output | GPT-6 Luna Pro | $0.6 | $0.62 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.8 Omni Flash | $2.6 | $2.5 |
Qwen3.8 Omni Flash is $0.03 cheaper per 1M output tokens (6% lower; 1.06x difference).
GPT-6 Luna Pro has 50K more context (1.05x larger).
GPT-6 Luna Pro is $0.04 cheaper on the standard workload (9.1% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
GPT-6 Luna Pro has the lower input price; Qwen3.8 Omni Flash has the lower output price; GPT-6 Luna Pro offers the larger context window. For the 1M input plus 500K output sample, GPT-6 Luna Pro is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.35 for GPT-6 Luna Pro and $0.39 for Qwen3.8 Omni Flash.
Choose GPT-6 Luna Pro when you care most about lower input-token price, and larger context window.
Choose Qwen3.8 Omni Flash when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, GPT-6 Luna Pro is estimated at $0.35 vs $0.39 for Qwen3.8 Omni Flash, saving $0.04 (9.1% lower).
- GPT-6 Luna Pro is $0.04 cheaper on the standard workload (9.1% lower).
- GPT-6 Luna Pro is $0.05 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
- Qwen3.8 Omni Flash is $0.03 cheaper per 1M output tokens (6% lower; 1.06x difference).
- GPT-6 Luna Pro has 50K more context (1.05x larger).
| Feature | NewGPT-6 Luna Pro (OpenAI) | NewQwen3.8 Omni Flash (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $0.15 |
| Completion Price per 1M tokens | $0.5 | $0.47 |
| Sample Workload Cost 1M input + 500K output | $0.35 | $0.39 |
| Context Window | 1.05M | 1M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-6 Luna Pro | On the standard 1M input plus 500K output workload, GPT-6 Luna Pro is estimated at $0.35 vs $0.39 for Qwen3.8 Omni Flash, saving $0.04 (9.1% lower). |
| High-volume input processing | GPT-6 Luna Pro | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.8 Omni Flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-6 Luna Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-6 Luna Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-6 Luna Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-6 Luna Pro when lower sample workload cost matters most: $0.06.
- gpt-oss-20b (batch) can replace GPT-6 Luna Pro when lower sample workload cost matters most: $0.08.
- GLM 5.3 Flash offers 1.31M context with $0.4 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.36 sample workload cost.
- GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.43 sample workload cost.
- MiMo-V2.6-Pro · Xiaomi · #1
- Qwen3.8 Max (0902) · Qwen · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- GLM 5.3 Flash · Z.ai · #4
Cheaper alternatives
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Open Qwen modelsGPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...