Model Comparison

Jamba 1.5 Mini vs Mistral Small 3.2 24B InstructWhich is better in 2026?

Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks.

Verdict: Jamba 1.5 Mini vs Mistral Small 3.2 24B Instruct — which is better?

Jamba 1.5 Mini (by AI21 Labs) and Mistral Small 3.2 24B Instruct (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 1 benchmarks (Arena Hard), while Mistral Small 3.2 24B Instruct is better at 4 benchmarks (GPQA, MMLU, MMLU-Pro, Wild Bench). Mistral Small 3.2 24B Instruct 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 3.2 24B Instruct if…

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025
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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Jamba 1.5 Mini outperforms in 1 benchmarks (Arena Hard), while Mistral Small 3.2 24B Instruct is better at 4 benchmarks (GPQA, MMLU, MMLU-Pro, Wild Bench).

Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks.

Wed Jun 24 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 3.2 24B Instruct, making it 120.3% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
52.0B
Jamba 1.5 Mini
23.6B
Mistral Small 3.2 24B Instruct

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 3.2 24B Instruct
Input- tokens
Output- tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Mistral Small 3.2 24B Instruct 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 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Mistral Small 3.2 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 Mini

Jamba Open Model License

Open weights

Mistral Small 3.2 24B Instruct

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 3.2 24B Instruct was released on 2025-06-20.

Mistral Small 3.2 24B Instruct is 10 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.8 years ago

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.0 years ago

10mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a knowledge cutoff of 2024-03-05, while Mistral Small 3.2 24B Instruct 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 3.2 24B Instruct (2023-10-01).

Jamba 1.5 Mini

Mar 2024

5 mo newer
Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Higher Arena Hard score (46.1% vs 43.1%)
Mistral AI
Supports multimodal inputs
Higher GPQA score (46.1% vs 32.3%)
Higher MMLU score (80.5% vs 69.7%)
Higher MMLU-Pro score (69.1% vs 42.5%)
Higher Wild Bench score (65.3% vs 42.4%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Mistral AI
Mistral Small 3.2 24B Instruct

FAQ

Common questions about Jamba 1.5 Mini vs Mistral Small 3.2 24B Instruct.

Which is better, Jamba 1.5 Mini or Mistral Small 3.2 24B Instruct?

Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Mistral Small 3.2 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 Mini compare to Mistral Small 3.2 24B Instruct 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 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for Jamba 1.5 Mini and Mistral Small 3.2 24B Instruct?

Jamba 1.5 Mini supports 256K tokens and Mistral Small 3.2 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 Mini and Mistral Small 3.2 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 Mini and Mistral Small 3.2 24B Instruct?

Jamba 1.5 Mini is developed by AI21 Labs and Mistral Small 3.2 24B Instruct is developed by Mistral AI.

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