Jamba 1.5 Mini vs Phi-4
A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.
Updated
Jamba 1.5 Mini specs · Phi-4 specs- PriceJamba 1.5 Mini
Jamba 1.5 Mini publishes pricing ($0.40 / 1M output tokens) while Phi-4 does not.
- Context windowJamba 1.5 Mini
Jamba 1.5 Mini accepts 256K tokens vs 16K, 16.0× 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.
- ModalitiesTie
Both handle text.
- OpennessTie
Both ship open weights, self-host either one.
On balance Jamba 1.5 Mini edges ahead, winning 2 of 5 categories against Phi-4's 0. Jamba 1.5 Mini publishes pricing ($0.40 / 1M output tokens) while Phi-4 does not. Jamba 1.5 Mini accepts 256K tokens vs 16K, 16.0× the room for long documents and codebases.
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. Both target the same set of modalities (text), so the deciding factors are price, context, and raw quality. Both ship open weights, self-host either one.
Phi-4 is the newer of the two, released 4 months after Jamba 1.5 Mini, which usually means a more recent knowledge cutoff and updated safety post-training. Jamba 1.5 Mini is usually picked for long context and summarization workloads, while Phi-4 sees more deployments in on device 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 | Jamba 1.5 Mini | Phi-4 |
|---|---|---|
| Provider | AI21 | Microsoft |
| Released | Aug 2024 | Dec 2024 |
| Modalities | text | text |
| Context window | 256K tokens | 16K tokens |
| Max output | , | , |
| Input · 1M | $0.20 / 1M tokens | Pricing not published |
| Output · 1M | $0.40 / 1M tokens | Pricing not published |
| Knowledge cutoff | , | , |
| Open weights | Yes (Jamba Open Model License) | 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$1.20 vs ,
- Heavy usage, 1M in / 500k out per day$12.00 vs ,
- RAG workload, 5M in / 200k out per day$32.40 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.
- Jamba 1.5 Mini$0.040
- Phi-4Pricing unavailable
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
- MMLU,84.8
- HumanEval,82.6
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 16K for Phi-4.
Phi-4 fits when…
- Exceptional quality at 14B parameters
- MIT license, clean commercial use
- Strong on math
Consider Jamba 1.5 Large
AI21's hybrid SSM-Transformer with a 256k context window, strong on long-doc tasks.
Frequently asked
Is Jamba 1.5 Mini or Phi-4 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 16K for Phi-4.Is Jamba 1.5 Mini or Phi-4 better for coding?
Both Jamba 1.5 Mini and Phi-4 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. Jamba 1.5 Mini is licensed under Jamba Open Model License; Phi-4 under MIT.When were Jamba 1.5 Mini and Phi-4 released?
Jamba 1.5 Mini was released by AI21 on 2024-08-22. Phi-4 was released by Microsoft on 2024-12-12.
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