Ministral 3 3B 2512
Mistral AIhuggingface.co/mistralai/Ministral-3-3B-Instruct
The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.
Updated 54 min ago · first seen 11 Sept 2026
model_01M294WW8ARQZCERCFYFPVTV8J
- Parameters
- 3.85B
- T2 · 2 h ago
- Context
- 131.1K tokens
- T2 · 2 h ago
- Released
- 31 Oct 2025
- T2 · 57 min ago
- License
- apache-2.0
- T2 · 57 min ago
Specification
- Release date
- 31 Oct 2025
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- License
- apache-2.0
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Architecture
- Mistral3ForConditionalGeneration
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Parameters
- 3.85B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Context window
- 131.1K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Max output
- 104.9K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Modalities
- image, text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Input modalities
- image, text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Languages
- en, fr, es, de, it, pt, nl, zh, ja, ko, ar
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Tokenizer
- Mistral
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Base model
- mistralai/Ministral-3-3B-Base-2512
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Quantization format
- fp8
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- File size
- 4.7 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Hugging Face repo
- mistralai/Ministral-3-3B-Instruct-2512
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Downloads
- 242,180
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 54 min agomedium
- Likes
- 279
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 54 min agomedium
- Gated
- No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Is quantized
- Yes
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Last modified
- 2026-07-15T12:21:35+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Library name
- vllm
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Downloads all time
- 3,827,890
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 54 min agomedium
- Model type
- mistral3
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Openrouter id
- mistralai/ministral-3b-2512
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Supported parameters
- frequency_penalty, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Tags
- vllm, safetensors, mistral3, mistral-common, en, fr, es, de, it, pt, nl, zh, ja, ko, ar, fp8
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Weights dtype
- BF16, F8_E4M3
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
33
Source tiers
T233
Freshest observation
54 min ago
Conflicts
None
Modalities
- Modalities
- imagetext
- Input
- imagetext
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Unavailable
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 131.1K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Max output
- 104.9K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Languages
- en, fr, es, de, it, pt, nl, zh, ja, ko, ar
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Tokenizer
- Mistral
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
No benchmark results recorded
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| Mistral AI La Plateformemistralai/ministral-3b-2512 | $0.10 | $0.10 | $0.01 | — | 131.1K | 2 h ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- Mistral AI La Plateforme
Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.
| Hardware | Quantization | Memory | Est. need | Fits |
|---|---|---|---|---|
| Apple M3 Ultra | 4bit | — | 2.7 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 2.7 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 2.7 GB | Yes |
| Apple M2 Ultra | 4bit | — | 2.7 GB | Yes |
| NVIDIA B200 | 4bit | 180 GB | 2.7 GB | Yes |
| NVIDIA H200 | 4bit | 141 GB | 2.7 GB | Yes |
| Apple M1 Ultra | 4bit | — | 2.7 GB | Yes |
| Apple M3 Max | 4bit | — | 2.7 GB | Yes |
| Apple M4 Max | 4bit | — | 2.7 GB | Yes |
| NVIDIA DGX Spark | 4bit | 128 GB | 2.7 GB | Yes |
| Apple M2 Max | 4bit | — | 2.7 GB | Yes |
| NVIDIA A100 80GB | 4bit | 80 GB | 2.7 GB | Yes |
| NVIDIA H100 SXM | 4bit | 80 GB | 2.7 GB | Yes |
| Apple M1 Max | 4bit | — | 2.7 GB | Yes |
| Apple M4 Pro | 4bit | — | 2.7 GB | Yes |
| Apple M3 Pro | 4bit | — | 2.7 GB | Yes |
| Apple M1 Pro | 4bit | — | 2.7 GB | Yes |
| Apple M2 Pro | 4bit | — | 2.7 GB | Yes |
| Apple M4 | 4bit | — | 2.7 GB | Yes |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 2.7 GB | Yes |
| Apple M2 | 4bit | — | 2.7 GB | Yes |
| Apple M3 | 4bit | — | 2.7 GB | Yes |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 2.7 GB | Yes |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 2.7 GB | Yes |
| Apple M1 | 4bit | — | 2.7 GB | Yes |
Ancestors 1
- Ministral-3-3B-Base-2512Mistral AI
This model
Ministral 3 3B 2512
3.85B params
Quantizations 0
None recorded.
Descendants 0
None recorded.
Papers 1
- arXiv:2601.08584Active
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history
Release daterelease_date2
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 31 Oct 2025 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
| 2 Dec 2025 | → | superseded | OpenRouter public model & pricing listingT2 | medium | deterministic |
Opennessopenness1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| open-weights | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Licenselicense1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| apache-2.0 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Architecturearchitecture1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Mistral3ForConditionalGeneration | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Parametersparameter_count1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 3.85B | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Context windowcontext_length1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 131.1K tokens | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Max outputmax_output_tokens1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 104.9K tokens | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Modalitiesmodalities1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| image, text | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Input modalitiesmodalities_input1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| image, text | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Output modalitiesmodalities_output1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| text | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Languageslanguages1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| en, fr, es, de, it, pt, nl, zh, ja, ko, ar | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Tokenizertokenizer1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Mistral | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Base modelbase_model1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| mistralai/Ministral-3-3B-Base-2512 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Quantization formatquant_format1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| fp8 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
File sizefile_size_gb1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 4.7 GB | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Hugging Face repohf_repo1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| mistralai/Ministral-3-3B-Instruct-2512 | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Model cardmodel_card_url1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| https://huggingface.co/mistralai/Ministral-3-3B-Instruct-2512 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Downloadsmetric.downloads1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 242,180 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Likesmetric.likes1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 279 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Descriptiondescription1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities. | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Gatedgated1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| No | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Is quantizedis_quantized1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Last modifiedlast_modified1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 2026-07-15T12:21:35+00:00 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Library namelibrary_name1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| vllm | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Downloads all timemetric.downloads_all_time1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 3,827,890 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Model typemodel_type1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| mistral3 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Openrouter idopenrouter_id1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| mistralai/ministral-3b-2512 | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Structured outputstructured_output1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Supported parameterssupported_parameters1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| frequency_penalty, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Tool callingtool_calling1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Visionvision1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Weights dtypeweights_dtype1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| BF16, F8_E4M3 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Ministral 3 3B 2512: release date changed from 2025-12-02 to 2025-10-31
Release date2 Dec 2025→31 Oct 2025huggingfaceMistral AI La Plateforme lists Ministral 3 3B 2512 at $0.1 in / $0.1 out per 1M tokens
openrouter
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/mistralai/Ministral-3-3B-Instruct-2512 | model_page | T2· Quality secondary | 54 min ago | 2 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=mistralai&p=0&sort=downloads | listing | T2· Quality secondary | 1 h ago | 2 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 2 h ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.