GLM-4.5 vs Jamba 1.5 Mini
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 · Jamba 1.5 Mini specs- PriceJamba 1.5 Mini
Jamba 1.5 Mini publishes pricing ($0.40 / 1M output tokens) while GLM-4.5 does not.
- Context windowJamba 1.5 Mini
Jamba 1.5 Mini accepts 256K tokens vs 128K, 2.0× 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 Jamba 1.5 Mini.
- OpennessTie
Both ship open weights, self-host either one.
On balance Jamba 1.5 Mini edges ahead, winning 2 of 5 categories against GLM-4.5's 1. Jamba 1.5 Mini publishes pricing ($0.40 / 1M output tokens) while GLM-4.5 does not. Jamba 1.5 Mini accepts 256K tokens vs 128K, 2.0× 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 Jamba 1.5 Mini 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 11 months after Jamba 1.5 Mini, 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 Jamba 1.5 Mini sees more deployments in long context and summarization. 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 | Jamba 1.5 Mini |
|---|---|---|
| Provider | Other | AI21 |
| Released | Jul 2025 | Aug 2024 |
| Modalities | text, vision | text |
| Context window | 128K tokens | 256K tokens |
| Max output | , | , |
| Input · 1M | Pricing not published | $0.20 / 1M tokens |
| Output · 1M | Pricing not published | $0.40 / 1M tokens |
| Knowledge cutoff | , | , |
| Open weights | Yes (MIT) | Yes (Jamba Open Model License) |
| 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 $1.20
- Heavy usage, 1M in / 500k out per day, vs $12.00
- RAG workload, 5M in / 200k out per day, vs $32.40
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
- Jamba 1.5 Mini$0.040
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.
Jamba 1.5 Mini fits when…
- 256k context at small-model price
- Hybrid SSM-Transformer is efficient on long inputs
- Open weights for self-hosting
- Long-context tasks, handles 256K tokens vs 128K for GLM-4.5.
Consider DBRX
Databricks' 132B MoE, a notable 2024 open-weight release tuned for enterprise.
Frequently asked
Is GLM-4.5 or Jamba 1.5 Mini 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?
Jamba 1.5 Mini accepts 256K tokens vs 128K for GLM-4.5.Is GLM-4.5 or Jamba 1.5 Mini better for coding?
Both GLM-4.5 and Jamba 1.5 Mini 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; Jamba 1.5 Mini under Jamba Open Model License.When were GLM-4.5 and Jamba 1.5 Mini released?
GLM-4.5 was released by Other on 2025-07-28. Jamba 1.5 Mini was released by AI21 on 2024-08-22.
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