Ministral 3 14B Base 2512 vs OpenVLA 7B
At a Glance
| Compare | Ministral 3 14B Base 2512Mistral AI | OpenVLA 7BOpenVLA Research Team |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 262K | Not reported |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Available Benchmarks
Side-by-Side Facts
| Field | Ministral-3-14B-Base-2512 | OpenVLA 7B |
|---|---|---|
| Developer | Mistral AI | OpenVLA Research Team |
| Family | Ministral 3 14b Base 2512 | OpenVLA |
| Model | Ministral-3-14B-Base-2512 | OpenVLA 7B |
| Version | Ministral-3-14B-Base-2512 | 7B |
| Lifecycle | active | active |
| Released | Unknown | 2024-06-13 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Robot state |
| Output modalities | Text | Robot action |
| Context window | 262K | Unknown |
| Total parameters | 13.9B | 7B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | Yes |
| API available | Unknown | No |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Unknown |
| Capabilities | generation | cross-embodiment, fine-tuning, generalist-manipulation |
| Robotics model type | Unknown | Vision-language-action model |
| Action representation | Unknown | Tokenized actions decoded to continuous robot controls |
| Control architecture | Unknown | Fused SigLIP and DINOv2 visual encoder with Llama 2 7B backbone |
| Inference location | Unknown | Flexible |
| Native control rate (Hz) | Unknown | Unknown |
| Supported embodiments | Unknown | WidowX, Google Robot, Franka Panda |
| Training data | Unknown | 970,000 robot manipulation trajectories from Open X-Embodiment described by the authors. |
Ministral 3 14B Base 2512 Capabilities
OpenVLA 7B Capabilities
Primary Evidence
Sources and Freshness
Questions
Ministral 3 14B Base 2512 vs OpenVLA 7B FAQs
Is Ministral 3 14B Base 2512 or OpenVLA 7B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Ministral 3 14B Base 2512 and OpenVLA 7B, 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 OpenVLA 7B?+
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 OpenVLA 7B?+
Neither model has a larger sourced context window in this comparison. Ministral 3 14B Base 2512 is 262K and OpenVLA 7B is —.
Which performs better in benchmarks, Ministral 3 14B Base 2512 or OpenVLA 7B?+
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 OpenVLA 7B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Ministral 3 14B Base 2512 is open weight; OpenVLA 7B is open weight.
Can Ministral 3 14B Base 2512 and OpenVLA 7B understand images?+
Ministral 3 14B Base 2512 is documented with image input; OpenVLA 7B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Ministral 3 14B Base 2512 or OpenVLA 7B?+
Neither has a larger sourced maximum output. Ministral 3 14B Base 2512 is — and OpenVLA 7B is —.
Do Ministral 3 14B Base 2512 and OpenVLA 7B support reasoning and tool use?+
Ministral 3 14B Base 2512: image input. OpenVLA 7B: image input. Feature support does not establish relative quality.
Which is available from more inference providers, Ministral 3 14B Base 2512 or OpenVLA 7B?+
Ministral 3 14B Base 2512 has 0 sourced provider routes; OpenVLA 7B has 0, a tie.
Which offers better value, Ministral 3 14B Base 2512 or OpenVLA 7B?+
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.