Model Comparison

Jamba 1.5 Mini vs Ministral 3 (14B Base 2512)Which is better in 2026?

Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks.

Verdict: Jamba 1.5 Mini vs Ministral 3 (14B Base 2512) — which is better?

Jamba 1.5 Mini (by AI21 Labs) and Ministral 3 (14B Base 2512) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Jamba 1.5 Mini outperforms in 0 benchmarks, while Ministral 3 (14B Base 2512) is better at 1 benchmark (MMLU). Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks.

Choose Jamba 1.5 Mini if…

  • you want predictable pricing at $0.20/M input and $0.40/M output

Choose Ministral 3 (14B Base 2512) if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while Ministral 3 (14B Base 2512) is better at 1 benchmark (MMLU).

Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

38.0B diff

Jamba 1.5 Mini has 38.0B more parameters than Ministral 3 (14B Base 2512), making it 271.4% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
52.0B
Jamba 1.5 Mini
14.0B
Ministral 3 (14B Base 2512)

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Mini specifies input context (256,144 tokens). Only Jamba 1.5 Mini specifies output context (256,144 tokens).

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Mistral AI
Ministral 3 (14B Base 2512)
Input- tokens
Output- tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Base 2512) supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Ministral 3 (14B Base 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Mini

Text
Images
Audio
Video

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Ministral 3 (14B Base 2512) uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Ministral 3 (14B Base 2512) was released on 2025-12-04.

Ministral 3 (14B Base 2512) is 16 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.9 years ago

Ministral 3 (14B Base 2512)

Dec 4, 2025

7 months ago

1.3yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Ministral 3 (14B Base 2512)'s cutoff date is not specified.

We can confirm Jamba 1.5 Mini's training data extends to 2024-03-05, but cannot make a direct comparison without Ministral 3 (14B Base 2512)'s cutoff date.

Jamba 1.5 Mini

Mar 2024

Ministral 3 (14B Base 2512)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Mistral AI
Supports multimodal inputs
Higher MMLU score (79.4% vs 69.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Jamba 1.5 Mini and Ministral 3 (14B Base 2512) side-by-side, then vote on the output you prefer.

Jamba 1.5 Mini
✓ Preferred
Ministral 3 (14B Base 2512)
Open in Playground
AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Mistral AI
Ministral 3 (14B Base 2512)

FAQ

Common questions about Jamba 1.5 Mini vs Ministral 3 (14B Base 2512).

Which is better, Jamba 1.5 Mini or Ministral 3 (14B Base 2512)?

Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Ministral 3 (14B Base 2512) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Mini compare to Ministral 3 (14B Base 2512) in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.

What are the context window sizes for Jamba 1.5 Mini and Ministral 3 (14B Base 2512)?

Jamba 1.5 Mini supports 256K tokens and Ministral 3 (14B Base 2512) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Jamba 1.5 Mini and Ministral 3 (14B Base 2512)?

Key differences include multimodal support (no vs yes), licensing (Jamba Open Model License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Mini and Ministral 3 (14B Base 2512)?

Jamba 1.5 Mini is developed by AI21 Labs and Ministral 3 (14B Base 2512) is developed by Mistral AI.

Related comparisons