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Jamba 1.5 Large vs Mistral Small 3 24B Base

Jamba 1.5 Large and Mistral Small 3 24B Base are closely matched at 0.9 and -0.3 on the LLM Stats Score.

AI21 Labs · Mistral AI · Updated for 2026

Which is better?

Jamba 1.5 Large and Mistral Small 3 24B Base are closely matched on the overall LLM Stats Score at 0.9 and -0.3.

In the 5 individual benchmarks reported for both models, Jamba 1.5 Large wins 4; 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 Large

  • you value its reported benchmark strengths — it wins 4 of 5 exact shared results

Choose Mistral Small 3 24B Base

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

At a glance

The differences that matter most.

Jamba 1.5 Large
AI21 Labs
Mistral Small 3 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
0.9
#321
-0.3
#326
Reasoning
1.0
#313
-0.3
#320
Cost, coverage & limits
Benchmark wins
4 of 5
1 of 5
Input price
$2.00 / M
— / M
Output price
$8.00 / M
— / M
Context window
256,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Jamba 1.5 Large
Mistral Small 3 24B Base
Math
4.4#282
4.5#280
Finance
5.3#169
4.9#172
Legal
5.3#155
8.4#139
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

5 shared

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.

Sat Sep 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Sat Sep 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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 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

Notice missing or incorrect data?Start an Issue discussion→

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

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 and Mistral Small 3 24B Base are closely matched on the LLM Stats Score at 0.9 and -0.3. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (0.9 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 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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