Model Comparison

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

Jamba 1.5 Large significantly outperforms across most benchmarks.

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

Jamba 1.5 Large (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 Large outperforms in 4 benchmarks (ARC-C, GPQA, GSM8k, MMLU), while Mistral Small 3 24B Base is better at 1 benchmark (MMLU-Pro). Jamba 1.5 Large significantly outperforms across most benchmarks.

Choose Jamba 1.5 Large if…

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks

Choose Mistral Small 3 24B Base if…

  • you want the most recent training data — it shipped Jan 2025

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Jamba 1.5 Large outperforms in 4 benchmarks (ARC-C, GPQA, GSM8k, MMLU), while Mistral Small 3 24B Base is better at 1 benchmark (MMLU-Pro).

Jamba 1.5 Large significantly outperforms across most benchmarks.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

374.4B diff

Jamba 1.5 Large has 374.4B more parameters than Mistral Small 3 24B Base, making it 1586.4% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
398.0B
Jamba 1.5 Large
23.6B
Mistral Small 3 24B Base

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 24B Base
Input- tokens
Output- tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3 24B Base supports multimodal inputs, whereas Jamba 1.5 Large 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 Large

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large 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 Large

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 Large 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 Large.

Jamba 1.5 Large

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

Jamba 1.5 Large 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 Large

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 (256,000 tokens)
Higher ARC-C score (93.0% vs 91.3%)
Higher GPQA score (36.9% vs 34.4%)
Higher GSM8k score (87.0% vs 80.7%)
Higher MMLU score (81.2% vs 80.7%)
Mistral AI
Supports multimodal inputs
Higher MMLU-Pro score (54.4% vs 53.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

Jamba 1.5 Large significantly outperforms across most benchmarks. Jamba 1.5 Large 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 Large compare to Mistral Small 3 24B Base 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 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 Large and Mistral Small 3 24B Base?

Jamba 1.5 Large 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 Large 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 Large and Mistral Small 3 24B Base?

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

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