Model Comparison

Jamba 1.5 Large vs Llama 4 Scout

Llama 4 Scout shows notably better performance in the majority of benchmarks. Llama 4 Scout is 25.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Jamba 1.5 Large outperforms in 1 benchmarks (MMLU), while Llama 4 Scout is better at 2 benchmarks (GPQA, MMLU-Pro).

Llama 4 Scout shows notably better performance in the majority of benchmarks.

Sun May 31 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 Large ($2.00/1M tokens) is 25.0x more expensive than Llama 4 Scout ($0.08/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 26.7x more expensive than Llama 4 Scout ($0.30/1M tokens).

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

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

Lowest available price from all providers

Sun May 31 2026 • llm-stats.com

Jamba 1.5 Large

Input tokens$2.00

Output tokens$8.00

Best providerAWS Bedrock

Llama 4 Scout

Input tokens$0.08

Output tokens$0.30

Best providerDeepinfra

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Model Size

Parameter count comparison

289.0B diff

Jamba 1.5 Large has 289.0B more parameters than Llama 4 Scout, making it 265.1% larger.

Jamba 1.5 Large

398.0Bparameters

Llama 4 Scout

109.0Bparameters

398.0B

Jamba 1.5 Large

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 Large's 256,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Jamba 1.5 Large is limited to 256,000 tokens.

Jamba 1.5 Large

Input256,000 tokens

Output256,000 tokens

Llama 4 Scout

Input10,000,000 tokens

Output10,000,000 tokens

Sun May 31 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas Jamba 1.5 Large 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 Large

Text

Images

Audio

Video

Llama 4 Scout

Text

Images

Audio

Video

License

Usage and distribution terms

Jamba 1.5 Large 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 Large

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 Large 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 Large.

Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

Llama 4 Scout

Apr 5, 2025

1.2 years ago

7mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large 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 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Llama 4 Scout's cutoff date.

Jamba 1.5 Large

Mar 2024

Llama 4 Scout

—

Provider Availability

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

Jamba 1.5 Large

AWS Bedrock

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Google

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Llama 4 Scout

Deepinfra

Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M

Lambda

Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M

Novita

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Groq

Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M

Fireworks

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

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

Jamba 1.5 Large

View details

AI21 Labs

Higher MMLU score (81.2% vs 79.6%)

Llama 4 Scout

View details

Detailed Comparison

AI Model Comparison Table
Feature	Jamba 1.5 Large	Llama 4 Scout

FAQ

Common questions about Jamba 1.5 Large vs Llama 4 Scout.

Which is better, Jamba 1.5 Large or Llama 4 Scout?

Llama 4 Scout shows notably better performance in the majority of benchmarks. Jamba 1.5 Large 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.

How does Jamba 1.5 Large compare to Llama 4 Scout in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

Is Jamba 1.5 Large cheaper than Llama 4 Scout?

Llama 4 Scout is 25.0x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.

What are the context window sizes for Jamba 1.5 Large and Llama 4 Scout?

Jamba 1.5 Large 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.

What are the main differences between Jamba 1.5 Large and Llama 4 Scout?

Key differences include context window (256K vs 10.0M), input pricing ($2.00 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.

Who makes Jamba 1.5 Large and Llama 4 Scout?

Jamba 1.5 Large is developed by AI21 Labs and Llama 4 Scout is developed by Meta.