ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-4.7-FlashX vs GPT-6 Luna

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

  1. 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
  2. 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

  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 LunaGLM-4.7-FlashX: Text · GPT-6 Luna: Text, Images, PDFs
  • Self-hostingGLM-4.7-FlashXPublishes downloadable weights
How the score is built
MeasureWeightGLM-4.7-FlashXGPT-6 Luna
Price50%8983
Inputs & features30%3580
Context window20%3261
Overall100%61/10078/100

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.

GLM-4.7-FlashX vs GPT-6 Luna specifications side by side
SpecificationGLM-4.7-FlashXZ.ai (Zhipu)GPT-6 LunaOpenAI
Capability
Capabilities Index (ECI)——
ECI rank——
GPQA DiamondGraduate-level science questions—90.5%
FrontierMath Tiers 1–3Research-level mathematics—79.0%
OTIS Mock AIME 2024–2025Competition mathematics—98.9%
SimpleQA VerifiedShort factual questions—41.4%
Price per million tokens
Input$0.07 (best)$0.10
Output$0.40 (best)$0.50
Cached input$0.01$0.01
Blended (3:1)$0.152 (best)$0.20
Long-context rateSame rateOver 272K: $0.20 / $0.75
Price sourceOfficial Z.AI APIOfficial OpenAI API
Limits
Context window200,000 tokens1,050,000 tokens (best)
Max output131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningYesYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model IDglm-4.7-flashxgpt-6-luna
API providers824 (best)
ReleasedJan 19, 2026Sep 22, 2026
Knowledge cutoffApr 2025May 18, 2026
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.

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

Which should you choose?

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

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, GLM-4.7-FlashX or GPT-6 Luna?

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. GLM-4.7-FlashX has not been scored yet and GPT-6 Luna has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7-FlashX and GPT-6 Luna 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: GLM-4.7-FlashX up to 131,072, GPT-6 Luna up to 128,000 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7-FlashX accepts text; GPT-6 Luna accepts text, images and PDFs. 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: GLM-4.7-FlashX Apr 2025, GPT-6 Luna May 18, 2026.

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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