Ministral 3 14B Base 2512 vs Ternary Bonsai 4B
At a Glance
| Compare | Ministral 3 14B Base 2512Mistral AI | Ternary Bonsai 4BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 262K | 33K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 18, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Ministral-3-14B-Base-2512 | Ternary Bonsai 4B |
|---|---|---|
| Developer | Mistral AI | PrismML |
| Family | Ministral 3 14b Base 2512 | Bonsai 4b |
| Model | Ministral-3-14B-Base-2512 | Ternary Bonsai 4B |
| Version | Ministral-3-14B-Base-2512 | Ternary Bonsai 4B |
| Lifecycle | active | active |
| Released | Unknown | 2026-04-18 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 33K |
| Total parameters | 13.9B | 4B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Unknown | No |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Unknown |
| Capabilities | generation | chat, generation |
| Effective bit width | Unknown | 1.58 bits per weight |
| Weight size | Unknown | 1.07 GB |
| Weight format | Unknown | Ternary Q2_0 |
Ministral 3 14B Base 2512 Capabilities
Ternary Bonsai 4B Capabilities
Primary Evidence
Sources and Freshness
Questions
Ministral 3 14B Base 2512 vs Ternary Bonsai 4B FAQs
Is Ministral 3 14B Base 2512 or Ternary Bonsai 4B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Ministral 3 14B Base 2512 and Ternary Bonsai 4B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Ministral 3 14B Base 2512 or Ternary Bonsai 4B?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Ministral 3 14B Base 2512 or Ternary Bonsai 4B?+
Ministral 3 14B Base 2512 has the larger sourced context window. Ministral 3 14B Base 2512 supports 262K and Ternary Bonsai 4B supports 33K.
Which performs better in benchmarks, Ministral 3 14B Base 2512 or Ternary Bonsai 4B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Ministral 3 14B Base 2512 or Ternary Bonsai 4B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Ministral 3 14B Base 2512 is open weight; Ternary Bonsai 4B is open weight.
Can Ministral 3 14B Base 2512 and Ternary Bonsai 4B understand images?+
Ministral 3 14B Base 2512 is documented with image input; Ternary Bonsai 4B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Ministral 3 14B Base 2512 or Ternary Bonsai 4B?+
Neither has a larger sourced maximum output. Ministral 3 14B Base 2512 is — and Ternary Bonsai 4B is —.
Do Ministral 3 14B Base 2512 and Ternary Bonsai 4B support reasoning and tool use?+
Ministral 3 14B Base 2512: image input. Ternary Bonsai 4B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Ministral 3 14B Base 2512 or Ternary Bonsai 4B?+
Ministral 3 14B Base 2512 has 0 sourced provider routes; Ternary Bonsai 4B has 0, a tie.
Which offers better value, Ministral 3 14B Base 2512 or Ternary Bonsai 4B?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.