Jamba 1.5 Large 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 Large specs · Pixtral 12B specs- PriceJamba 1.5 Large
Jamba 1.5 Large publishes pricing ($8.00 / 1M output tokens) while Pixtral 12B does not.
- Context windowJamba 1.5 Large
Jamba 1.5 Large 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 Large.
- OpennessTie
Both ship open weights, self-host either one.
On balance Jamba 1.5 Large edges ahead, winning 2 of 5 categories against Pixtral 12B's 1. Jamba 1.5 Large publishes pricing ($8.00 / 1M output tokens) while Pixtral 12B does not. Jamba 1.5 Large 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 Large 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 Large is usually picked for long context and rag 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 Large | Pixtral 12B |
|---|---|---|
| Provider | AI21 | Mistral |
| Released | Aug 2024 | Sep 2024 |
| Modalities | text | text, vision |
| Context window | 256K tokens | 128K tokens |
| Max output | , | , |
| Input · 1M | $2.00 / 1M tokens | Pricing not published |
| Output · 1M | $8.00 / 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$18.00 vs ,
- Heavy usage, 1M in / 500k out per day$180 vs ,
- RAG workload, 5M in / 200k out per day$348 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 Large$0.600
- 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 Large fits when…
- 256k context
- Efficient long-context inference
- Open weights
- 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 Mini
Smaller hybrid SSM-Transformer model, fast and efficient at long contexts.
Frequently asked
Is Jamba 1.5 Large 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 Large accepts 256K tokens vs 128K for Pixtral 12B.Is Jamba 1.5 Large or Pixtral 12B better for coding?
Both Jamba 1.5 Large 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 Large is licensed under Jamba Open Model License; Pixtral 12B under Apache-2.0.When were Jamba 1.5 Large and Pixtral 12B released?
Jamba 1.5 Large was released by AI21 on 2024-08-22. Pixtral 12B was released by Mistral on 2024-09-17.
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