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GLM-4.5 vs OLMo 2 13B

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 · OLMo 2 13B specs
Verdict by category
  • PriceTie

    Neither model publishes per-token API pricing.

  • Context windowGLM-4.5

    GLM-4.5 accepts 128K tokens vs 4.1K, 31.3× 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.

  • ModalitiesGLM-4.5

    GLM-4.5 supports 2 modalities (text, vision) vs 1 for OLMo 2 13B.

  • OpennessTie

    Both ship open weights, self-host either one.

On balance GLM-4.5 edges ahead, winning 2 of 5 categories against OLMo 2 13B's 0. Neither model publishes per-token API pricing. GLM-4.5 accepts 128K tokens vs 4.1K, 31.3× the room for long documents and codebases.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, GLM-4.5 handles text, vision while OLMo 2 13B handles text, which can be the deciding factor before you even look at benchmarks. Both ship open weights, self-host either one.

GLM-4.5 is the newer of the two, released 8 months after OLMo 2 13B, which usually means a more recent knowledge cutoff and updated safety post-training. GLM-4.5 is usually picked for chinese llm and open source llm workloads, while OLMo 2 13B sees more deployments in open source llm and fine tuning. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecGLM-4.5OLMo 2 13B
ProviderOtherOther
ReleasedJul 2025Nov 2024
Modalitiestext, visiontext
Context window128K tokens4.1K tokens
Max output,,
Input · 1MPricing not publishedPricing not published
Output · 1MPricing not publishedPricing not published
Knowledge cutoff,,
Open weightsYes (MIT)Yes (Apache-2.0)
API availableYesNo

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 ,
  • Heavy usage, 1M in / 500k out per day, vs ,
  • RAG workload, 5M in / 200k out per day, vs ,

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
  • OLMo 2 13BPricing unavailable

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
  • Long-context tasks, handles 128K tokens vs 4.1K for OLMo 2 13B.
  • Multimodal needs covering vision.
Pick OLMo 2 13B if

OLMo 2 13B fits when…

  • Fully reproducible
  • Apache-2.0
  • Research-friendly
Don't want either?

Consider DBRX

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

See DBRX specsGLM-4.5 vs DBRXOLMo 2 13B vs DBRX

Frequently asked

  • Is GLM-4.5 or OLMo 2 13B 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?
    GLM-4.5 accepts 128K tokens vs 4.1K for OLMo 2 13B.
  • Is GLM-4.5 or OLMo 2 13B better for coding?
    Both GLM-4.5 and OLMo 2 13B 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?
    Both ship with open weights. GLM-4.5 is licensed under MIT; OLMo 2 13B under Apache-2.0.
  • When were GLM-4.5 and OLMo 2 13B released?
    GLM-4.5 was released by Other on 2025-07-28. OLMo 2 13B was released by Other on 2024-11-26.
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