GLM-4.5 vs Pixtral 12B
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 · Pixtral 12B 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.
- ModalitiesTie
Both handle text, vision.
- OpennessTie
Both ship open weights, self-host either one.
It's a genuine coin-flip between GLM-4.5 and Pixtral 12B: 0 category wins each, with the rest tied. 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. Both target the same set of modalities (text, vision), so the deciding factors are price, context, and raw quality. Both ship open weights, self-host either one.
GLM-4.5 is the newer of the two, released 10 months after Pixtral 12B, 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 Pixtral 12B sees more deployments in vision and edge deployment. 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 | Pixtral 12B |
|---|---|---|
| Provider | Other | Mistral |
| Released | Jul 2025 | Sep 2024 |
| Modalities | text, vision | text, vision |
| 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
- Pixtral 12BPricing 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
Pixtral 12B fits when…
- Apache-2.0
- Vision in 12B size
- Single-GPU
Consider DBRX
Databricks' 132B MoE, a notable 2024 open-weight release tuned for enterprise.
Frequently asked
Is GLM-4.5 or Pixtral 12B 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 Pixtral 12B ship a 128K-token context window.Is GLM-4.5 or Pixtral 12B better for coding?
Both GLM-4.5 and Pixtral 12B 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; Pixtral 12B under Apache-2.0.When were GLM-4.5 and Pixtral 12B released?
GLM-4.5 was released by Other on 2025-07-28. Pixtral 12B was released by Mistral on 2024-09-17.
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