Model Comparison

Jamba 1.5 Mini vs Mistral Small 3.1 24B Instruct

Mistral Small 3.1 24B Instruct significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while Mistral Small 3.1 24B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Mistral Small 3.1 24B Instruct significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Mistral AI
Mistral Small 3.1 24B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

28.0B diff

Jamba 1.5 Mini has 28.0B more parameters than Mistral Small 3.1 24B Instruct, making it 116.7% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
52.0B
Jamba 1.5 Mini
24.0B
Mistral Small 3.1 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 3.1 24B Instruct
Input- tokens
Output- tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Instruct supports multimodal inputs, whereas Jamba 1.5 Mini 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 Mini

Text
Images
Audio
Video

Mistral Small 3.1 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 3.1 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 Mini

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 Mini 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 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.1 years ago

6mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini 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 Mini'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 Mini

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 (256,144 tokens)
Mistral AI
Supports multimodal inputs
Higher GPQA score (46.0% vs 32.3%)
Higher MMLU score (80.6% vs 69.7%)
Higher MMLU-Pro score (66.8% vs 42.5%)

Detailed Comparison

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

FAQ

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

Mistral Small 3.1 24B Instruct significantly outperforms across most benchmarks. Jamba 1.5 Mini 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.
Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.
Jamba 1.5 Mini 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.
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.
Jamba 1.5 Mini is developed by AI21 Labs and Mistral Small 3.1 24B Instruct is developed by Mistral AI.