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Jamba 1.5 Mini vs Mistral Small 3 24B Base

Jamba 1.5 Mini and Mistral Small 3 24B Base are closely matched at -5.7 and -0.3 on the LLM Stats Score.

AI21 Labs · Mistral AI · Updated for 2026

Which is better?

Jamba 1.5 Mini and Mistral Small 3 24B Base are closely matched on the overall LLM Stats Score at -5.7 and -0.3.

In the 5 individual benchmarks reported for both models, Mistral Small 3 24B Base wins 5; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Jamba 1.5 Mini

  • you want predictable pricing at $0.20/M input and $0.40/M output

Choose Mistral Small 3 24B Base

  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Jamba 1.5 Mini
AI21 Labs
Mistral Small 3 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
-5.7
#359
-0.3
#327
Reasoning
-5.6
#350
-0.3
#321
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
$0.20 / M
— / M
Output price
$0.40 / M
— / M
Context window
256,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Jamba 1.5 Mini
Mistral Small 3 24B Base
Math
-4.0#315
4.5#280
Finance
-3.9#209
4.9#173
Legal
-3.9#194
8.4#140
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for Jamba 1.5 Mini · 9 for Mistral Small 3 24B Base

5 shared

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 Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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 Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

2.1 years ago

Mistral Small 3 24B Base

Jan 30, 2025

1.6 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

Notice missing or incorrect data?Start an Issue discussion→

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

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?

Jamba 1.5 Mini and Mistral Small 3 24B Base are closely matched on the LLM Stats Score at -5.7 and -0.3. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (-5.7 vs -0.3), 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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