Model Comparison

Jamba 1.5 Mini vs Llama 3.2 90B Instruct

Llama 3.2 90B Instruct significantly outperforms across most benchmarks. Jamba 1.5 Mini is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while Llama 3.2 90B Instruct is better at 2 benchmarks (GPQA, MMLU).

Llama 3.2 90B Instruct significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 1.7x cheaper than Llama 3.2 90B Instruct ($0.35/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) costs the same as Llama 3.2 90B Instruct ($0.40/1M tokens).

In conclusion, Llama 3.2 90B Instruct is more expensive than Jamba 1.5 Mini.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

38.0B diff

Llama 3.2 90B Instruct has 38.0B more parameters than Jamba 1.5 Mini, making it 73.1% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Meta
Llama 3.2 90B Instruct
90.0Bparameters
52.0B
Jamba 1.5 Mini
90.0B
Llama 3.2 90B Instruct

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Llama 3.2 90B Instruct's 128,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Llama 3.2 90B Instruct is limited to 128,000 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 90B Instruct supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Llama 3.2 90B Instruct 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 3.2 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Llama 3.2 90B Instruct uses Llama 3.2.

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 3.2 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Llama 3.2 90B Instruct was released on 2024-09-25.

Llama 3.2 90B Instruct is 1 month newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.6 years ago

Llama 3.2 90B Instruct

Sep 25, 2024

1.6 years ago

1mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Llama 3.2 90B Instruct'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 3.2 90B Instruct's cutoff date.

Jamba 1.5 Mini

Mar 2024

Llama 3.2 90B Instruct

—

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic.

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 3.2 90B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Less expensive input tokens
Meta
Supports multimodal inputs
Higher GPQA score (46.7% vs 32.3%)
Higher MMLU score (86.0% vs 69.7%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Meta
Llama 3.2 90B Instruct

FAQ

Common questions about Jamba 1.5 Mini vs Llama 3.2 90B Instruct

Llama 3.2 90B Instruct significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Llama 3.2 90B Instruct 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 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.
Jamba 1.5 Mini is 1.7x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/M output via deepinfra.
Jamba 1.5 Mini supports 256K tokens and Llama 3.2 90B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (256K vs 128K), input pricing ($0.20 vs $0.35/M), multimodal support (no vs yes), licensing (Jamba Open Model License vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Mini is developed by AI21 Labs and Llama 3.2 90B Instruct is developed by Meta.