Command R 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
Command R specs · GLM-4.5 specs- PriceCommand R
Command R publishes pricing ($1.50 / 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 Command R.
- OpennessTie
Both ship open weights, self-host either one.
It's a genuine coin-flip between Command R and GLM-4.5: 1 category wins each, with the rest tied. Command R publishes pricing ($1.50 / 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, Command R 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 17 months after Command R, which usually means a more recent knowledge cutoff and updated safety post-training. Command R is usually picked for rag and customer support 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
| Spec | Command R | GLM-4.5 |
|---|---|---|
| Provider | Cohere | Other |
| Released | Mar 2024 | Jul 2025 |
| Modalities | text | text, vision |
| Context window | 128K tokens | 128K tokens |
| Max output | , | , |
| Input · 1M | $0.50 / 1M tokens | Pricing not published |
| Output · 1M | $1.50 / 1M tokens | Pricing not published |
| Knowledge cutoff | , | , |
| Open weights | Yes (CC-BY-NC 4.0) | Yes (MIT) |
| API available | Yes | Yes |
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$3.75 vs ,
- Heavy usage, 1M in / 500k out per day$37.50 vs ,
- RAG workload, 5M in / 200k out per day$84.00 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).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- Command R$0.125
- 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.
Command R fits when…
- Cheap RAG
- Reliable tool-use
GLM-4.5 fits when…
- MIT license
- Strong Chinese
- Multimodal
- Multimodal needs covering vision.
Consider Command R+ (08-2024)
Cohere's flagship optimized for RAG and tool use in enterprise settings.
Frequently asked
Is Command R 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 Command R and GLM-4.5 ship a 128K-token context window.Is Command R or GLM-4.5 better for coding?
Both Command R 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. Command R is licensed under CC-BY-NC 4.0; GLM-4.5 under MIT.When were Command R and GLM-4.5 released?
Command R was released by Cohere on 2024-03-11. GLM-4.5 was released by Other on 2025-07-28.
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