API cost decision in 10 seconds
NewGPT-6 Luna (batch) vs GLM 5.2
Pick GPT-6 Luna (batch) when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GPT-6 Luna (batch) when budget and context both matter.
On the standard 1M input plus 500K output workload, GPT-6 Luna (batch) is estimated at $0.17 vs $1.67 for GLM 5.2, saving $1.5 (89.5% lower).
Cost-first pickGPT-6 Luna (batch)
Context-first pickGPT-6 Luna (batch)
Sample savings$1.589.5%
10x traffic gap$14.95
GPT-6 Luna (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $14.95. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GPT-6 Luna (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-6 Luna (batch) | GLM 5.2 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-6 Luna (batch) | $0.38 | $4.27 |
| Balanced workload | 1M input + 1M output | GPT-6 Luna (batch) | $0.3 | $2.69 |
| Output-heavy chatbot | 1M input + 5M output | GPT-6 Luna (batch) | $1.3 | $10.86 |
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 (batch) has the lower input price, GPT-6 Luna (batch) has the lower output price, and GPT-6 Luna (batch) offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.17 for GPT-6 Luna (batch) and $1.67 for GLM 5.2.
Choose GPT-6 Luna (batch) when you care most about lower input-token price, lower output-token price, and larger context window.
Choose GLM 5.2 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
| Feature | NewGPT-6 Luna (batch) (OpenAI) | GLM 5.2 (Z.ai) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.65 |
| Completion Price per 1M tokens | $0.25 | $2.04 |
| Sample Workload Cost 1M input + 500K output | $0.17 | $1.67 |
| Context Window | 1.05M | 1.05M |
| Release Date | 2026-09-22 | 2026-06-16 |
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-6 Luna (batch) | On the standard 1M input plus 500K output workload, GPT-6 Luna (batch) is estimated at $0.17 vs $1.67 for GLM 5.2, saving $1.5 (89.5% lower). |
| High-volume input processing | GPT-6 Luna (batch) | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | GPT-6 Luna (batch) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-6 Luna (batch) | A larger context window leaves more room for retrieved passages and source files. |