Specifications
Context Window
—
Input Price/1M
$0.20
Output Price/1M
$0.20
Parameters
—
Speed
90 tok/s
Latency (TTFT)
375ms
Benchmarks
Ministral 3 14B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 5.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 35.0 | 100.0 | Artificial Analysis official API |
| SciCode | 24.0 | 100.0 | — |
| AA Coding Index | 10.9 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 69.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 22.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AIME 2025 | 30.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 30.0 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 16.0 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 69.3 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 57.0 | 100.0 | Artificial Analysis official API |
| IFBench | 32.0 | 100.0 | — |
| HLE | 5.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 27.0 | 100.0 | — |
Information
- Release date
- December 02, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Ministral 3 14B
What is Ministral 3 14B?
Ministral 3 14B is an AI model developed by Mistral, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Mistral's cloud API.
Pricing & Costs in 2026
Ministral 3 14B is usage-based, priced at $0.2/1M input tokens and $0.2/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Ministral 3 14B was evaluated on 14 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Ministral 3 14B specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Ministral 3 14B competes directly with similarly capable models. Mistral competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Ministral 3 14B?
Ministral 3 14B is an AI model developed by Mistral. It is a text model.
How much does Ministral 3 14B cost?
Ministral 3 14B costs $0.2/1M input tokens and $0.2/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Ministral 3 14B compare with other models?
In available benchmarks, Ministral 3 14B scored: Terminal-Bench Hard: 5/100, LiveCodeBench: 35/100, SciCode: 24/100. See the full table above for a detailed comparison.
Is Ministral 3 14B open source?
No, Ministral 3 14B is a proprietary model from Mistral. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Ministral 3 14B best for?
Ministral 3 14B excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →