Jamba 1.5 Mini 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
Jamba 1.5 Mini specs · Pixtral 12B specs- PriceJamba 1.5 Mini
Jamba 1.5 Mini publishes pricing ($0.40 / 1M output tokens) while Pixtral 12B 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.
- ModalitiesPixtral 12B
Pixtral 12B 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 Pixtral 12B's 1. Jamba 1.5 Mini publishes pricing ($0.40 / 1M output tokens) while Pixtral 12B 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, Jamba 1.5 Mini handles text while Pixtral 12B handles text, vision, which can be the deciding factor before you even look at benchmarks. Both ship open weights, self-host either one.
Both shipped within roughly a month of each other in 2024, so they share the same generation of training data and tooling. Jamba 1.5 Mini is usually picked for long context and summarization 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 | Jamba 1.5 Mini | Pixtral 12B |
|---|---|---|
| Provider | AI21 | Mistral |
| Released | Aug 2024 | Sep 2024 |
| Modalities | text | text, vision |
| Context window | 256K tokens | 128K 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 (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$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
- 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.
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 Pixtral 12B.
Pixtral 12B fits when…
- Apache-2.0
- Vision in 12B size
- Single-GPU
- Multimodal needs covering vision.
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 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?
Jamba 1.5 Mini accepts 256K tokens vs 128K for Pixtral 12B.Is Jamba 1.5 Mini or Pixtral 12B better for coding?
Both Jamba 1.5 Mini 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. Jamba 1.5 Mini is licensed under Jamba Open Model License; Pixtral 12B under Apache-2.0.When were Jamba 1.5 Mini and Pixtral 12B released?
Jamba 1.5 Mini was released by AI21 on 2024-08-22. Pixtral 12B was released by Mistral on 2024-09-17.
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