Model Comparison

Jamba 1.5 Mini vs Magistral Medium

Magistral Medium significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while Magistral Medium is better at 1 benchmark (GPQA).

Magistral Medium significantly outperforms across most benchmarks.

Sun Apr 19 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
Sun Apr 19 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Mistral AI
Magistral Medium
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

28.0B diff

Jamba 1.5 Mini has 28.0B more parameters than Magistral Medium, making it 116.7% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Mistral AI
Magistral Medium
24.0Bparameters
52.0B
Jamba 1.5 Mini
24.0B
Magistral Medium

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
Magistral Medium
Input- tokens
Output- tokens
Sun Apr 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Magistral Medium supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Magistral Medium 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

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Magistral Medium 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

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Magistral Medium was released on 2025-06-10.

Magistral Medium is 10 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Magistral Medium

Jun 10, 2025

10 months ago

9mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a knowledge cutoff of 2024-03-05, while Magistral Medium has a cutoff of 2025-06-01.

Magistral Medium has more recent training data (up to 2025-06-01), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).

Jamba 1.5 Mini

Mar 2024

Magistral Medium

Jun 2025

1.3 yr newer

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Mistral AI
Supports multimodal inputs
Higher GPQA score (70.8% vs 32.3%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Mistral AI
Magistral Medium

FAQ

Common questions about Jamba 1.5 Mini vs Magistral Medium

Magistral Medium significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Magistral Medium 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%. Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.
Jamba 1.5 Mini supports 256K tokens and Magistral Medium 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 Magistral Medium is developed by Mistral AI.