LLM·Dex

GLM-4.5 vs GPT-5 nano

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

Updated

GLM-4.5 specs · GPT-5 nano specs
Verdict by category
  • PriceGPT-5 nano

    GPT-5 nano publishes pricing ($0.40 / 1M output tokens) while GLM-4.5 does not.

  • Context windowGPT-5 nano

    GPT-5 nano accepts 400K tokens vs 128K, 3.1× the room for long documents and codebases.

  • BenchmarksTie

    No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.

  • ModalitiesTie

    Both handle text, vision.

  • OpennessGLM-4.5

    GLM-4.5 ships open weights (MIT); GPT-5 nano is API-only.

On balance GPT-5 nano edges ahead, winning 2 of 5 categories against GLM-4.5's 1. GPT-5 nano publishes pricing ($0.40 / 1M output tokens) while GLM-4.5 does not. GPT-5 nano accepts 400K tokens vs 128K, 3.1× the room for long documents and codebases.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. Both target the same set of modalities (text, vision), so the deciding factors are price, context, and raw quality. GLM-4.5 ships open weights (MIT); GPT-5 nano is API-only.

Both shipped within roughly a month of each other in 2025, so they share the same generation of training data and tooling. GLM-4.5 is usually picked for chinese llm and open source llm workloads, while GPT-5 nano sees more deployments in cheapest llm and fastest llm. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecGLM-4.5GPT-5 nano
ProviderOtherOpenAI
ReleasedJul 2025Aug 2025
Modalitiestext, visiontext, vision
Context window128K tokens400K tokens
Max output,128K tokens
Input · 1MPricing not published$0.050 / 1M tokens
Output · 1MPricing not published$0.40 / 1M tokens
Knowledge cutoff,2024-09
Open weightsYes (MIT)No
API availableYesYes

Pricing at scale

What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.

  • Light usage, 100k in / 50k out per day, vs $0.750
  • Heavy usage, 1M in / 500k out per day, vs $7.50
  • RAG workload, 5M in / 200k out per day, vs $9.90

Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

  • GLM-4.5Pricing unavailable
  • GPT-5 nano$0.025

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

Benchmark scores not yet available. We only publish numbers we can source from official model cards or independent leaderboards, see methodology.
Pick GLM-4.5 if

GLM-4.5 fits when…

  • MIT license
  • Strong Chinese
  • Multimodal
  • Self-hosting and on-prem requirements, open weights (MIT).
Pick GPT-5 nano if

GPT-5 nano fits when…

  • Lowest-cost OpenAI model with vision support
  • Fast P99 latency
  • Good enough for routing and classification
  • Long-context tasks, handles 400K tokens vs 128K for GLM-4.5.
Don't want either?

Consider DBRX

Databricks' 132B MoE, a notable 2024 open-weight release tuned for enterprise.

Frequently asked

  • Is GLM-4.5 or GPT-5 nano cheaper?
    Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.
  • Which has the larger context window?
    GPT-5 nano accepts 400K tokens vs 128K for GLM-4.5.
  • Is GLM-4.5 or GPT-5 nano better for coding?
    Both GLM-4.5 and GPT-5 nano are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.
  • Are either of these models open source?
    GLM-4.5 ships open weights (MIT). GPT-5 nano is API-only.
  • When were GLM-4.5 and GPT-5 nano released?
    GLM-4.5 was released by Other on 2025-07-28. GPT-5 nano was released by OpenAI on 2025-08-07.
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