API cost decision in 10 seconds

NewGLM 5.3 Prime vs NewGPT-6 Luna

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

On the standard 1M input plus 500K output workload, GPT-6 Luna is estimated at $0.35 vs $7.2 for GLM 5.3 Prime, saving $6.85 (95.1% lower).

Cost-first pickGPT-6 Luna
Context-first pickGPT-6 Luna
Sample savings$6.8595.1%
10x traffic gap$68.5

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 $68.5. 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 pickGLM 5.3 PrimeGPT-6 Luna
Input-heavy / RAG5M input + 500K outputGPT-6 Luna$18.4$0.75
Balanced workload1M input + 1M outputGPT-6 Luna$11.6$0.6
Output-heavy chatbot1M input + 5M outputGPT-6 Luna$46.8$2.6
Cheaper input GPT-6 Luna $2.8 vs $0.1 / 1M

GPT-6 Luna is $2.7 cheaper per 1M input tokens (96.4% lower; 28x difference).

Cheaper output GPT-6 Luna $8.8 vs $0.5 / 1M

GPT-6 Luna is $8.3 cheaper per 1M output tokens (94.3% lower; 17.6x difference).

Larger context GPT-6 Luna 1M vs 1.05M

GPT-6 Luna has 50K more context (1.05x larger).

Sample workload GPT-6 Luna $7.2 vs $0.35

GPT-6 Luna is $6.85 cheaper on the standard workload (95.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 5.3 Prime Calculating… Estimated API cost
GPT-6 Luna Calculating… Estimated API cost
Cheaper for this workload Calculating… 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; GPT-6 Luna 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 $7.2 for GLM 5.3 Prime and $0.35 for GPT-6 Luna.

Best Fit

Choose GLM 5.3 Prime when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose GPT-6 Luna when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, GPT-6 Luna is estimated at $0.35 vs $7.2 for GLM 5.3 Prime, saving $6.85 (95.1% lower).
  • GPT-6 Luna is $6.85 cheaper on the standard workload (95.1% lower).
  • GPT-6 Luna is $2.7 cheaper per 1M input tokens (96.4% lower; 28x difference).
  • GPT-6 Luna is $8.3 cheaper per 1M output tokens (94.3% lower; 17.6x difference).
  • GPT-6 Luna has 50K more context (1.05x larger).
Head-to-Head Specs
FeatureNewGLM 5.3 Prime
(Z.ai)
NewGPT-6 Luna
(OpenAI)
Input Price
prompt tokens per 1M
$2.8$0.1
Completion Price
per 1M tokens
$8.8$0.5
Sample Workload Cost
1M input + 500K output
$7.2$0.35
Context Window1M1.05M
Release Date

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 $7.2 for GLM 5.3 Prime, saving $6.85 (95.1% lower).
High-volume input processingGPT-6 LunaLower prompt-token price matters most when prompts, retrieved passages, or documents 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, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • GLM 5.2 (free) can replace GLM 5.3 Prime when lower sample workload cost matters most: $0.
  • GLM 4.5 Air (free) can replace GLM 5.3 Prime when lower sample workload cost matters most: $0.
  • GLM 4 32B can replace GLM 5.3 Prime when lower sample workload cost matters most: $0.15.
  • GLM 5.3 Flash (batch) can replace GLM 5.3 Prime when lower sample workload cost matters most: $0.16.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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Z.ai catalog

Review all tracked Z.ai models before deciding whether this matchup is the right shortlist.

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OpenAI catalog

Check other OpenAI models with comparable pricing, context, or release timing.

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GLM 5.3 Prime

GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration. It supports text input and output with a 1M-token...

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...