ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GPT-6 Luna vs GLM-4.7-FlashX

GPT-6 Luna comes out ahead, 78 to 61 on our weighted score, though GLM-4.7-FlashX is 24% cheaper per token.

  1. Our pick

    OpenAI

    GPT-6 Luna

    Released Sep 22, 2026

    78/100
    • ECI—
    • Price$0.10 / $0.50
    • Context1.05M
    Full specs Remove GPT-6 Luna

  2. Z.ai (Zhipu)

    GLM-4.7-FlashX

    Released Jan 19, 2026

    61/100
    • ECI—
    • Price$0.07 / $0.40
    • Context200K
    Full specs Remove GLM-4.7-FlashX

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-6 Luna is our pick

GPT-6 Luna is the better all-round choice, scoring 78/100 against GLM-4.7-FlashX (61). It leads on inputs & features and context window. GLM-4.7-FlashX wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceGLM-4.7-FlashXGLM-4.7-FlashX $0.152 · GPT-6 Luna $0.20 per 1M tokens (3:1 blend)
  • Longest contextGPT-6 LunaGPT-6 Luna 1,050,000 · GLM-4.7-FlashX 200,000 tokens
  • Widest inputsGPT-6 LunaGPT-6 Luna: Text, Images, PDFs · GLM-4.7-FlashX: Text
  • Self-hostingGLM-4.7-FlashXPublishes downloadable weights
How the score is built
MeasureWeightGPT-6 LunaGLM-4.7-FlashX
Price50%8389
Inputs & features30%8035
Context window20%6132
Overall100%78/10061/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

GPT-6 Luna vs GLM-4.7-FlashX specifications side by side
SpecificationGPT-6 LunaOpenAIGLM-4.7-FlashXZ.ai (Zhipu)
Capability
Capabilities Index (ECI)——
ECI rank——
GPQA DiamondGraduate-level science questions90.5%—
FrontierMath Tiers 1–3Research-level mathematics79.0%—
OTIS Mock AIME 2024–2025Competition mathematics98.9%—
SimpleQA VerifiedShort factual questions41.4%—
Price per million tokens
Input$0.10$0.07 (best)
Output$0.50$0.40 (best)
Cached input$0.01$0.01
Blended (3:1)$0.20$0.152 (best)
Long-context rateOver 272K: $0.20 / $0.75Same rate
Price sourceOfficial OpenAI APIOfficial Z.AI API
Limits
Context window1,050,000 tokens (best)200,000 tokens
Max output128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioNoNo
VideoNoNo
ReasoningYeslow · medium · high · xhigh · maxYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpen
API model IDgpt-6-lunaglm-4.7-flashx
API providers24 (best)8
ReleasedSep 22, 2026Jan 19, 2026
Knowledge cutoffMay 18, 2026Apr 2025
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • GPT-6 Luna$2.00
  • GLM-4.7-FlashX$1.50
04 — Questions

Which should you choose?

Which is better: GPT-6 Luna or GLM-4.7-FlashX?

GPT-6 Luna is the better all-round choice, scoring 78/100 against GLM-4.7-FlashX (61). It leads on inputs & features and context window. GLM-4.7-FlashX wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, GPT-6 Luna or GLM-4.7-FlashX?

GLM-4.7-FlashX is cheaper at $0.07 input / $0.40 output per million tokens (official Z.AI API price). GPT-6 Luna costs $0.10 input / $0.50 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.152 per million tokens for GLM-4.7-FlashX versus $0.20 for GPT-6 Luna (1.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. GPT-6 Luna has not been scored yet and GLM-4.7-FlashX has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-6 Luna and GLM-4.7-FlashX yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

GPT-6 Luna has the largest context window at 1,050,000 tokens, against 200,000 for GLM-4.7-FlashX. Maximum output per response: GPT-6 Luna up to 128,000, GLM-4.7-FlashX up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GPT-6 Luna accepts text, images and PDFs; GLM-4.7-FlashX accepts text. GPT-6 Luna handles the widest range of inputs.

Are any of these open source?

GLM-4.7-FlashX publishes its weights and can be self-hosted; GPT-6 Luna is proprietary.

Which is newer?

GPT-6 Luna is the newest, released Sep 22, 2026. GLM-4.7-FlashX came out Jan 19, 2026. Knowledge cutoff: GPT-6 Luna May 18, 2026, GLM-4.7-FlashX Apr 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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