Model Comparison

Jamba 1.5 Mini vs Mistral Small 3 24B BaseWhich is better in 2026?

Mistral Small 3 24B Base significantly outperforms across most benchmarks.

Verdict: Jamba 1.5 Mini vs Mistral Small 3 24B Base — which is better?

Jamba 1.5 Mini (by AI21 Labs) and Mistral Small 3 24B Base (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 Mistral Small 3 24B Base is better at 5 benchmarks (ARC-C, GPQA, GSM8k, MMLU, MMLU-Pro). Mistral Small 3 24B Base 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 Mistral Small 3 24B Base if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while Mistral Small 3 24B Base is better at 5 benchmarks (ARC-C, GPQA, GSM8k, MMLU, MMLU-Pro).

Mistral Small 3 24B Base significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

28.4B diff

Jamba 1.5 Mini has 28.4B more parameters than Mistral Small 3 24B Base, making it 120.3% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
52.0B
Jamba 1.5 Mini
23.6B
Mistral Small 3 24B Base

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
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3 24B Base supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Mistral Small 3 24B Base 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

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Mistral Small 3 24B Base 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

Mistral Small 3 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Mistral Small 3 24B Base was released on 2025-01-30.

Mistral Small 3 24B Base is 5 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.9 years ago

Mistral Small 3 24B Base

Jan 30, 2025

1.5 years ago

5mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a knowledge cutoff of 2024-03-05, while Mistral Small 3 24B Base has a cutoff of 2023-10-01.

Jamba 1.5 Mini has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to Mistral Small 3 24B Base (2023-10-01).

Jamba 1.5 Mini

Mar 2024

5 mo newer
Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Mistral AI
Supports multimodal inputs
Higher ARC-C score (91.3% vs 85.7%)
Higher GPQA score (34.4% vs 32.3%)
Higher GSM8k score (80.7% vs 75.8%)
Higher MMLU score (80.7% vs 69.7%)
Higher MMLU-Pro score (54.4% vs 42.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Jamba 1.5 Mini and Mistral Small 3 24B Base side-by-side, then vote on the output you prefer.

Jamba 1.5 Mini
✓ Preferred
Mistral Small 3 24B Base
Open in Playground
AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Mistral AI
Mistral Small 3 24B Base

FAQ

Common questions about Jamba 1.5 Mini vs Mistral Small 3 24B Base.

Which is better, Jamba 1.5 Mini or Mistral Small 3 24B Base?

Mistral Small 3 24B Base significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Mistral Small 3 24B Base 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 Mistral Small 3 24B Base in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.

What are the context window sizes for Jamba 1.5 Mini and Mistral Small 3 24B Base?

Jamba 1.5 Mini supports 256K tokens and Mistral Small 3 24B Base 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 Mistral Small 3 24B Base?

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 Mistral Small 3 24B Base?

Jamba 1.5 Mini is developed by AI21 Labs and Mistral Small 3 24B Base is developed by Mistral AI.

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