Ministral 3 14B Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image |
| Output modality | Supports: text |
| Context window | 256k ~384 A4 pages of size 12 Arial font |
| Total parameters | 14B |
| License | Apache 2.0 |
| Model weights | Hugging Face |
Ministral 3 14B is amongst the leading models in intelligence, but somewhat expensive when comparing to other open weight non-reasoning models of similar size. It's also faster than average, however somewhat verbose. The model supports text and image input, outputs text, and has a 256k tokens context window.
Ministral 3 14B scores 16 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 12). When evaluating the Intelligence Index, it generated 11M tokens, which is somewhat verbose in comparison to the average of 5.6M.
Pricing for Ministral 3 14B is $0.20 per 1M input tokens (somewhat expensive, average: $0.09) and $0.20 per 1M output tokens (moderately priced, average: $0.20). In total, it cost $23.19 to evaluate Ministral 3 14B on the Intelligence Index.
At 117 tokens per second, Ministral 3 14B is faster than average (97).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Ministral 3 14B API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Ministral 3 14B
Ministral 3 14B was released on December 2, 2025.
Ministral 3 14B was created by Mistral.
Ministral 3 14B scores 16 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 12).
Ministral 3 14B generates output at 117.4 tokens per second (based on Mistral's API), which is above average compared to other open weight non-reasoning models of similar size (median: 97.3 t/s).
Ministral 3 14B has a time to first token (TTFT) of 0.62s (based on Mistral's API), which is very competitive compared to other open weight non-reasoning models of similar size (median: 1.29s).
Ministral 3 14B costs $0.20 per 1M input tokens (somewhat higher than average, median: $0.17) and $0.20 per 1M output tokens (very competitive, median: $0.45), based on Mistral's API.
Ministral 3 14B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens (based on Mistral's API). For a blended rate (3:1 input to output ratio), this is $0.20 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Ministral 3 14B generated 11M output tokens, which is somewhat higher than average compared to other open weight non-reasoning models of similar size (median: 5.6M).
No, Ministral 3 14B is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Ministral 3 14B supports text and image input.
Ministral 3 14B supports text output.
Yes, Ministral 3 14B supports image input and can analyze, describe, and answer questions about images.
Yes, Ministral 3 14B is multimodal. It can process text and image input and generate text output.
Ministral 3 14B has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Ministral 3 14B is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Ministral 3 14B has 14 billion parameters.
Ministral 3 14B is released under the Apache 2.0 license. This license allows commercial use. View license
Ministral 3 14B achieves a score of 16 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Ministral 3 14B is available via API through 2 providers. Compare API providers
Ministral 3 14B is available through 2 API providers. Compare providers