Model Comparison

Jamba 1.5 Large vs Mistral Small 3.1 24B Instruct

Mistral Small 3.1 24B Instruct shows notably better performance in the majority of benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Jamba 1.5 Large outperforms in 1 benchmarks (MMLU), while Mistral Small 3.1 24B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro).

Mistral Small 3.1 24B Instruct shows notably better performance in the majority of benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

374.0B diff

Jamba 1.5 Large has 374.0B more parameters than Mistral Small 3.1 24B Instruct, making it 1558.3% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
398.0B
Jamba 1.5 Large
24.0B
Mistral Small 3.1 24B Instruct

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Instruct supports multimodal inputs, whereas Jamba 1.5 Large does not.

Mistral Small 3.1 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Large

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Mistral Small 3.1 24B Instruct uses Apache 2.0.

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

Jamba 1.5 Large

Jamba Open Model License

Open weights

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

Mistral Small 3.1 24B Instruct is 7 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.2 years ago

6mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Mistral Small 3.1 24B Instruct's cutoff date is not specified.

We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Mistral Small 3.1 24B Instruct's cutoff date.

Jamba 1.5 Large

Mar 2024

Mistral Small 3.1 24B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Higher MMLU score (81.2% vs 80.6%)
Mistral AI
Supports multimodal inputs
Higher GPQA score (46.0% vs 36.9%)
Higher MMLU-Pro score (66.8% vs 53.5%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Mistral AI
Mistral Small 3.1 24B Instruct

FAQ

Common questions about Jamba 1.5 Large vs Mistral Small 3.1 24B Instruct.

Which is better, Jamba 1.5 Large or Mistral Small 3.1 24B Instruct?

Mistral Small 3.1 24B Instruct shows notably better performance in the majority of benchmarks. Jamba 1.5 Large is made by AI21 Labs and Mistral Small 3.1 24B Instruct 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 Large compare to Mistral Small 3.1 24B Instruct in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.

What are the context window sizes for Jamba 1.5 Large and Mistral Small 3.1 24B Instruct?

Jamba 1.5 Large supports 256K tokens and Mistral Small 3.1 24B Instruct 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 Large and Mistral Small 3.1 24B Instruct?

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 Large and Mistral Small 3.1 24B Instruct?

Jamba 1.5 Large is developed by AI21 Labs and Mistral Small 3.1 24B Instruct is developed by Mistral AI.