Ministral 3 3B (Unsloth)
What most Nano models don’t offer: native multimodal input and tool calling right out of the box. Ministral 3 3B by Mistral AI delivers exactly that in the 3B class, with 256,000 tokens of context, an Apache 2.0 license, and local Unsloth GGUF distribution.
- Open Weights
- Nano
- llama.cpp
- Text
- Vision
- Instruction-Tuned
- Real-Time
Sovereign Risk: LOW Mistral AI releases Ministral 3 under Apache 2.0, and Unsloth provides the local GGUF packaging for offline inference. Since the upstream weights are open and the benchmark runs entirely locally, the operational provenance risk is low.
Key metrics
Score · Latency · Cost · Quality
- Total Score Bronze
- 64.75
- Routine
- 39.27
- Reasoning
- 25.48
- LLM Judge Avg
- 3.14 / 5
- 100 Coverage
- Avg Task Duration
- 17.57s
- Real-Time
- Token Rate
- 53.04tok/s
- Output Rate
- P95 Latency
- 41.85s
- Top 5 %
- Total Tokens
- 93700
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 93700 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Ministral 3 3B (Unsloth)
Best model
Ø All models
Code Quality
65.3
CLI Benchmark
75
Logical Reasoning
62.09
UX Writing
67.99
Documentation
68.23
Content Transform.
71.77
Cultural Intelligence
56.3
Synthesis Quality
32.5
Tool Execution
83.33
ToolUse Score
56.42
Benchmark Cost
$0
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze / Standard).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.