GLM-4.5 vs Mistral Nemo
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 · Mistral Nemo specs- PriceTie
Neither model publishes per-token API pricing.
- 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 Mistral Nemo.
- OpennessTie
Both ship open weights, self-host either one.
On balance GLM-4.5 edges ahead, winning 1 of 5 categories against Mistral Nemo's 0. Neither model publishes per-token API pricing. 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, GLM-4.5 handles text, vision while Mistral Nemo 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 13 months after Mistral Nemo, 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 Mistral Nemo sees more deployments in edge deployment and local llm. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | GLM-4.5 | Mistral Nemo |
|---|---|---|
| Provider | Other | Mistral |
| Released | Jul 2025 | Jul 2024 |
| Modalities | text, vision | text |
| Context window | 128K tokens | 128K tokens |
| Max output | , | , |
| Input · 1M | Pricing not published | Pricing not published |
| Output · 1M | Pricing not published | Pricing not published |
| Knowledge cutoff | , | , |
| Open weights | Yes (MIT) | Yes (Apache-2.0) |
| 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, 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).
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
- Mistral NemoPricing unavailable
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
GLM-4.5 fits when…
- MIT license
- Strong Chinese
- Multimodal
- Multimodal needs covering vision.
Mistral Nemo fits when…
- Apache-2.0
- Single-GPU fit
- Multilingual
Consider DBRX
Databricks' 132B MoE, a notable 2024 open-weight release tuned for enterprise.
Frequently asked
Is GLM-4.5 or Mistral Nemo 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 GLM-4.5 and Mistral Nemo ship a 128K-token context window.Is GLM-4.5 or Mistral Nemo better for coding?
Both GLM-4.5 and Mistral Nemo 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; Mistral Nemo under Apache-2.0.When were GLM-4.5 and Mistral Nemo released?
GLM-4.5 was released by Other on 2025-07-28. Mistral Nemo was released by Mistral on 2024-07-18.
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