Llama 3.2 3B vs Ministral 8B
A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.
Updated
Llama 3.2 3B specs · Ministral 8B 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.
- OpennessTie
Both ship open weights, self-host either one.
It's a genuine coin-flip between Llama 3.2 3B and Ministral 8B: 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), so the deciding factors are price, context, and raw quality. 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. Llama 3.2 3B is usually picked for on device and edge deployment workloads, while Ministral 8B sees more deployments in edge deployment and on device. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | Llama 3.2 3B | Ministral 8B |
|---|---|---|
| Provider | Meta | Mistral |
| Released | Sep 2024 | Oct 2024 |
| Modalities | text | text |
| 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 (Llama 3 Community License) | Yes (Mistral Research 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 ,
- 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.
- Llama 3.2 3BPricing unavailable
- Ministral 8BPricing unavailable
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
Llama 3.2 3B fits when…
- Runs on phones
- 128k context for its size
Ministral 8B fits when…
- Edge-optimized
- Strong 8B-class quality
Consider Llama 4 405B
Meta's flagship open-weight model, sparse MoE design competitive with closed-frontier flagships.
Frequently asked
Is Llama 3.2 3B or Ministral 8B 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 Llama 3.2 3B and Ministral 8B ship a 128K-token context window.Is Llama 3.2 3B or Ministral 8B better for coding?
Both Llama 3.2 3B and Ministral 8B 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. Llama 3.2 3B is licensed under Llama 3 Community License; Ministral 8B under Mistral Research License.When were Llama 3.2 3B and Ministral 8B released?
Llama 3.2 3B was released by Meta on 2024-09-25. Ministral 8B was released by Mistral on 2024-10-16.
The week's AI launches, in your inbox.
One short email every Friday, new models, leaks, and quietly-shipped APIs you missed.