Model Comparison

Jamba 1.5 Mini vs Llama 4 Scout

Llama 4 Scout significantly outperforms across most benchmarks. Llama 4 Scout is 1.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while Llama 4 Scout is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Llama 4 Scout significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 2.5x more expensive than Llama 4 Scout ($0.08/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 1.3x more expensive than Llama 4 Scout ($0.30/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than Llama 4 Scout.*

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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

57.0B diff

Llama 4 Scout has 57.0B more parameters than Jamba 1.5 Mini, making it 109.6% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Meta
Llama 4 Scout
109.0Bparameters
52.0B
Jamba 1.5 Mini
109.0B
Llama 4 Scout

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Jamba 1.5 Mini is limited to 256,144 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Llama 4 Scout 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

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Llama 4 Scout uses Llama 4 Community License Agreement.

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

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Llama 4 Scout was released on 2025-04-05.

Llama 4 Scout is 8 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Llama 4 Scout

Apr 5, 2025

1.1 years ago

7mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Llama 4 Scout'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 Llama 4 Scout's cutoff date.

Jamba 1.5 Mini

Mar 2024

Llama 4 Scout

—

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.

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

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

AI21 Labs
Meta
Larger context window (10,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (57.2% vs 32.3%)
Higher MMLU score (79.6% vs 69.7%)
Higher MMLU-Pro score (74.3% vs 42.5%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Meta
Llama 4 Scout

FAQ

Common questions about Jamba 1.5 Mini vs Llama 4 Scout

Llama 4 Scout significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Llama 4 Scout is made by Meta. 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%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.
Llama 4 Scout is 2.5x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.
Jamba 1.5 Mini supports 256K tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (256K vs 10.0M), input pricing ($0.20 vs $0.08/M), multimodal support (no vs yes), licensing (Jamba Open Model License vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Mini is developed by AI21 Labs and Llama 4 Scout is developed by Meta.