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DeepSeek-V3 vs GLM-4.5

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

Updated

DeepSeek-V3 specs · GLM-4.5 specs
Verdict by category
  • PriceDeepSeek-V3

    DeepSeek-V3 publishes pricing ($1.10 / 1M output tokens) while GLM-4.5 does not.

  • Context windowTie

    Both ship a 128K-token context window.

  • 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 DeepSeek-V3.

  • OpennessTie

    Both ship open weights, self-host either one.

It's a genuine coin-flip between DeepSeek-V3 and GLM-4.5: 1 category wins each, with the rest tied. DeepSeek-V3 publishes pricing ($1.10 / 1M output tokens) while GLM-4.5 does not. Both ship a 128K-token context window.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, DeepSeek-V3 handles text while GLM-4.5 handles text, vision, 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 7 months after DeepSeek-V3, which usually means a more recent knowledge cutoff and updated safety post-training. DeepSeek-V3 is usually picked for open source llm and commercial use llm workloads, while GLM-4.5 sees more deployments in chinese llm and open source llm. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecDeepSeek-V3GLM-4.5
ProviderDeepSeekOther
ReleasedDec 2024Jul 2025
Modalitiestexttext, vision
Context window128K tokens128K tokens
Max output,,
Input · 1M$0.27 / 1M tokensPricing not published
Output · 1M$1.10 / 1M tokensPricing not published
Knowledge cutoff2024-07,
Open weightsYes (MIT)Yes (MIT)
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$2.46 vs ,
  • Heavy usage, 1M in / 500k out per day$24.60 vs ,
  • RAG workload, 5M in / 200k out per day$47.10 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.

  • DeepSeek-V3$0.082
  • GLM-4.5Pricing unavailable

Benchmarks compared

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

DeepSeek-V3GLM-4.5
  • MMLU88.5
  • HumanEval90.0
Pick DeepSeek-V3 if

DeepSeek-V3 fits when…

  • Frontier-level quality at open-weight prices
  • MIT license, clean commercial use
  • Cheap to serve via MoE architecture
Pick GLM-4.5 if

GLM-4.5 fits when…

  • MIT license
  • Strong Chinese
  • Multimodal
  • Multimodal needs covering vision.
Don't want either?

Consider DeepSeek-R1

First open-weight reasoning model to match o1, the release that proved RL-from-scratch reasoning training was reproducible.

See DeepSeek-R1 specsDeepSeek-V3 vs DeepSeek-R1GLM-4.5 vs DeepSeek-R1

Frequently asked

  • Is DeepSeek-V3 or GLM-4.5 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?
    Both DeepSeek-V3 and GLM-4.5 ship a 128K-token context window.
  • Is DeepSeek-V3 or GLM-4.5 better for coding?
    Both DeepSeek-V3 and GLM-4.5 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. DeepSeek-V3 is licensed under MIT; GLM-4.5 under MIT.
  • When were DeepSeek-V3 and GLM-4.5 released?
    DeepSeek-V3 was released by DeepSeek on 2024-12-26. GLM-4.5 was released by Other on 2025-07-28.
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