API cost decision in 10 seconds

NewGPT-6 Luna vs GLM 5.2

Pick GPT-6 Luna 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 when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-6 Luna is estimated at $0.35 vs $1.67 for GLM 5.2, saving $1.32 (79% lower).

Cost-first pickGPT-6 Luna
Context-first pickGPT-6 Luna
Sample savings$1.3279%
10x traffic gap$13.2

GPT-6 Luna is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $13.2. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT-6 Luna stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT-6 LunaGLM 5.2
Input-heavy / RAG 5M input + 500K output GPT-6 Luna $0.75 $4.27
Balanced workload 1M input + 1M output GPT-6 Luna $0.6 $2.69
Output-heavy chatbot 1M input + 5M output GPT-6 Luna $2.6 $10.86
Cheaper inputGPT-6 Luna$0.1 vs $0.65 / 1M
Cheaper outputGPT-6 Luna$0.5 vs $2.04 / 1M
Larger contextGPT-6 Luna1.05M vs 1.05M
Sample workloadGPT-6 Luna$0.35 vs $1.67

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-6 LunaCalculating…Estimated API cost
GLM 5.2Calculating…Estimated API cost
Cheaper for this workloadCalculating…Difference: calculating…

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

Verdict

GPT-6 Luna has the lower input price, GPT-6 Luna has the lower output price, and GPT-6 Luna offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.35 for GPT-6 Luna and $1.67 for GLM 5.2.

Best Fit

Choose GPT-6 Luna 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.

Head-to-Head Specs
FeatureNewGPT-6 Luna
(OpenAI)		GLM 5.2
(Z.ai)
Input Price
prompt tokens per 1M		$0.1$0.65
Completion Price
per 1M tokens		$0.5$2.04
Sample Workload Cost
1M input + 500K output		$0.35$1.67
Context Window1.05M1.05M
Release Date2026-09-222026-06-16
GPT-6 Luna

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

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 caseBetter pickWhy
Budget-constrained productionGPT-6 LunaOn the standard 1M input plus 500K output workload, GPT-6 Luna is estimated at $0.35 vs $1.67 for GLM 5.2, saving $1.32 (79% lower).
High-volume input processingGPT-6 LunaLower prompt-token price matters most when prompts or retrieved passages dominate the bill.
Long responses and chatbotsGPT-6 LunaLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-6 LunaA larger context window leaves more room for retrieved passages and source files.