GPT-6 Luna is $0.05 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
API cost decision in 10 seconds
🔥GLM 5.3 Flash vs NewGPT-6 Luna
Pick GPT-6 Luna for lower cost; pick GLM 5.3 Flash only if the larger context window matters more.
Budget verdict
Pick GPT-6 Luna for lower cost; pick GLM 5.3 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GPT-6 Luna is estimated at $0.35 vs $0.4 for GLM 5.3 Flash, saving $0.05 (12.5% lower).
GLM 5.3 Flash has more context, but GPT-6 Luna saves $0.05 on the standard workload. At 10x that traffic, the same price gap is about $0.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GPT-6 Luna stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GLM 5.3 Flash | GPT-6 Luna |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-6 Luna | $1 | $0.75 |
| Balanced workload | 1M input + 1M output | GPT-6 Luna | $0.65 | $0.6 |
| Output-heavy chatbot | 1M input + 5M output | GPT-6 Luna | $2.65 | $2.6 |
Both models report the same output price at $0.5 per 1M tokens.
GLM 5.3 Flash has 260.72K more context (1.25x larger).
GPT-6 Luna is $0.05 cheaper on the standard workload (12.5% 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 has the lower input price; both models tie on output price; GLM 5.3 Flash offers the larger context window. For the 1M input plus 500K output sample, GPT-6 Luna is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for GLM 5.3 Flash and $0.35 for GPT-6 Luna.
Choose GLM 5.3 Flash when you care most about larger context window.
Choose GPT-6 Luna when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, GPT-6 Luna is estimated at $0.35 vs $0.4 for GLM 5.3 Flash, saving $0.05 (12.5% lower).
- GPT-6 Luna is $0.05 cheaper on the standard workload (12.5% lower).
- GPT-6 Luna is $0.05 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
- Both models report the same output price at $0.5 per 1M tokens.
- GLM 5.3 Flash has 260.72K more context (1.25x larger).
| Feature | 🔥GLM 5.3 Flash (Z.ai) | NewGPT-6 Luna (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.1 |
| Completion Price per 1M tokens | $0.5 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $0.4 | $0.35 |
| Context Window | 1.31M | 1.05M |
| Release Date | ||
| Popularity | #4 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-6 Luna | On the standard 1M input plus 500K output workload, GPT-6 Luna is estimated at $0.35 vs $0.4 for GLM 5.3 Flash, saving $0.05 (12.5% lower). |
| High-volume input processing | GPT-6 Luna | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Tie | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GLM 5.3 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- GLM 5.2 (free) can replace GLM 5.3 Flash when lower sample workload cost matters most: $0.
- GLM 4.5 Air (free) can replace GLM 5.3 Flash when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 5.3 Flash when lower sample workload cost matters most: $0.15.
- GLM 5.3 Flash (batch) can replace GLM 5.3 Flash when lower sample workload cost matters most: $0.16.
- No larger-context model is currently tracked within a close sample-cost band.
- MiMo-V2.6-Pro · Xiaomi · #1
- Qwen3.8 Max (0902) · Qwen · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- Hy4 preview · Tencent · #5
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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