Model Comparison

Jamba 1.5 Mini vs Mistral Small 3.1 24B BaseWhich is better in 2026?

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is 1.7x cheaper per token.

Verdict: Jamba 1.5 Mini vs Mistral Small 3.1 24B Base — which is better?

Jamba 1.5 Mini (by AI21 Labs) and Mistral Small 3.1 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 Mini outperforms in 0 benchmarks, while Mistral Small 3.1 24B Base is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro). Mistral Small 3.1 24B Base significantly outperforms across most benchmarks.

On price, Mistral Small 3.1 24B Base is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Jamba 1.5 Mini also accepts a larger context window (256,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Jamba 1.5 Mini if…

  • you process long inputs — it offers a 256,144 token context window

Choose Mistral Small 3.1 24B Base if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • cost matters — it's about 1.7x cheaper per token
  • you want the most recent training data — it shipped Mar 2025
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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

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

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 2.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 1.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than Mistral Small 3.1 24B Base.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Jun 24 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 Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
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 Base, making it 116.7% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
52.0B
Jamba 1.5 Mini
24.0B
Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Base supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Mistral Small 3.1 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 3.1 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 3.1 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 3.1 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 3.1 24B Base was released on 2025-03-17.

Mistral Small 3.1 24B Base is 7 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.8 years ago

Mistral Small 3.1 24B Base

Mar 17, 2025

1.3 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 Base'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 Base's cutoff date.

Jamba 1.5 Mini

Mar 2024

Mistral Small 3.1 24B Base

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Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Mistral Small 3.1 24B Base is available from Mistral AI.

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Mistral AI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (37.5% vs 32.3%)
Higher MMLU score (81.0% vs 69.7%)
Higher MMLU-Pro score (56.0% vs 42.5%)

Detailed Comparison

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

FAQ

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

Which is better, Jamba 1.5 Mini or Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Mistral Small 3.1 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 Mini compare to Mistral Small 3.1 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 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

Is Jamba 1.5 Mini cheaper than Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base is 2.0x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.

What are the context window sizes for Jamba 1.5 Mini and Mistral Small 3.1 24B Base?

Jamba 1.5 Mini supports 256K tokens and Mistral Small 3.1 24B Base supports 128K 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 3.1 24B Base?

Key differences include context window (256K vs 128K), input pricing ($0.20 vs $0.10/M), 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 3.1 24B Base?

Jamba 1.5 Mini is developed by AI21 Labs and Mistral Small 3.1 24B Base is developed by Mistral AI.

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