ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GPT-5.4 nano vs GLM-4.6V

GPT-5.4 nano comes out ahead, 63 to 59 on our weighted score.

  1. Our pick

    OpenAI

    GPT-5.4 nano

    Released Mar 17, 2026

    63/100
    • ECI145.8
    • Price$0.20 / $1.25
    • Context400K
    Full specs Remove GPT-5.4 nano

  2. Z.ai (Zhipu)

    GLM-4.6V

    Released Dec 8, 2025

    59/100
    • ECI—
    • Price$0.30 / $0.90
    • Context128K
    Full specs Remove GLM-4.6V

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-5.4 nano is our pick

GPT-5.4 nano is the better all-round choice, scoring 63/100 against GLM-4.6V (59). It leads on context window. 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-4.6VGLM-4.6V $0.45 · GPT-5.4 nano $0.463 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 nanoGPT-5.4 nano 400,000 · GLM-4.6V 128,000 tokens
  • Widest inputsGLM-4.6VGPT-5.4 nano: Text, Images · GLM-4.6V: Text, Images, Video
  • Self-hostingGLM-4.6VPublishes downloadable weights
How the score is built
MeasureWeightGPT-5.4 nanoGLM-4.6V
Price50%6666
Inputs & features30%7070
Context window20%4424
Overall100%63/10059/100

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-5.4 nano vs GLM-4.6V specifications side by side
SpecificationGPT-5.4 nanoOpenAIGLM-4.6VZ.ai (Zhipu)
Capability
Capabilities Index (ECI)145.8—
ECI rank#75 of 148—
GPQA DiamondGraduate-level science questions78.5%—
FrontierMath Tiers 1–3Research-level mathematics44.9%—
OTIS Mock AIME 2024–2025Competition mathematics87.8%—
SimpleQA VerifiedShort factual questions11.7%—
Price per million tokens
Input$0.20 (best)$0.30
Output$1.25$0.90 (best)
Cached input$0.02—
Blended (3:1)$0.463$0.45 (best)
Long-context rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Z.AI API
Limits
Context window400,000 tokens (best)128,000 tokens
Max output128,000 tokens (best)32,768 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoYes
ReasoningYeslow · medium · high · xhighYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpen
API model IDgpt-5.4-nanoglm-4.6v
API providers26 (best)10
ReleasedMar 17, 2026Dec 8, 2025
Knowledge cutoffAug 31, 2025Apr 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-5.4 nano$4.50
  • GLM-4.6V$4.80
04 — Questions

Which should you choose?

Which is better: GPT-5.4 nano or GLM-4.6V?

GPT-5.4 nano is the better all-round choice, scoring 63/100 against GLM-4.6V (59). It leads on context window. 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-5.4 nano or GLM-4.6V?

GLM-4.6V is cheaper at $0.30 input / $0.90 output per million tokens (official Z.AI API price). GPT-5.4 nano costs $0.20 input / $1.25 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for GLM-4.6V versus $0.463 for GPT-5.4 nano (1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. GPT-5.4 nano has an ECI of 145.8 and GLM-4.6V has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.4 nano and GLM-4.6V 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-5.4 nano has the largest context window at 400,000 tokens, against 128,000 for GLM-4.6V. Maximum output per response: GPT-5.4 nano up to 128,000, GLM-4.6V up to 32,768 tokens.

Which can read images, PDFs, audio or video?

GPT-5.4 nano accepts text and images; GLM-4.6V accepts text, images and video. GLM-4.6V handles the widest range of inputs.

Are any of these open source?

GLM-4.6V publishes its weights and can be self-hosted; GPT-5.4 nano is proprietary.

Which is newer?

GPT-5.4 nano is the newest, released Mar 17, 2026. GLM-4.6V came out Dec 8, 2025. Knowledge cutoff: GPT-5.4 nano Aug 31, 2025, GLM-4.6V 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

Related comparisons