Model Comparison

Jamba 1.5 Mini vs Llama 3.2 3B Instruct

Both models are evenly matched across the benchmarks. Llama 3.2 3B Instruct is 20.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Jamba 1.5 Mini outperforms in 2 benchmarks (ARC-C, MMLU), while Llama 3.2 3B Instruct is better at 2 benchmarks (GPQA, GSM8k).

Both models are evenly matched across the benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 3B Instruct costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 20.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 20.0x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than Llama 3.2 3B Instruct.*

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

Lowest available price from all providers

Thu May 14 2026 • llm-stats.com

Jamba 1.5 Mini

Input tokens$0.20

Output tokens$0.40

Best providerAWS Bedrock

Llama 3.2 3B Instruct

Input tokens$0.01

Output tokens$0.02

Best providerDeepinfra

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Model Size

Parameter count comparison

48.8B diff

Jamba 1.5 Mini has 48.8B more parameters than Llama 3.2 3B Instruct, making it 1519.9% larger.

Jamba 1.5 Mini

52.0Bparameters

Llama 3.2 3B Instruct

3.2Bparameters

52.0B

Jamba 1.5 Mini

3.2B

Llama 3.2 3B Instruct

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Llama 3.2 3B Instruct's 128,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Llama 3.2 3B Instruct is limited to 128,000 tokens.

Jamba 1.5 Mini

Input256,144 tokens

Output256,144 tokens

Llama 3.2 3B Instruct

Input128,000 tokens

Output128,000 tokens

Thu May 14 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Llama 3.2 3B Instruct uses Llama 3.2 Community License.

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 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Llama 3.2 3B Instruct was released on 2024-09-25.

Llama 3.2 3B Instruct is 1 month newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Llama 3.2 3B 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 3B 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 3B Instruct's cutoff date.

Jamba 1.5 Mini

Mar 2024

Llama 3.2 3B Instruct

—

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Llama 3.2 3B Instruct is available from DeepInfra.

Jamba 1.5 Mini

AWS Bedrock

Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

Google

Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

Llama 3.2 3B Instruct

Deepinfra

Input Price:Input: $0.01/1MOutput Price:Output: $0.02/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Jamba 1.5 Mini

View details

AI21 Labs

Larger context window (256,144 tokens)

Higher ARC-C score (85.7% vs 78.6%)

Higher MMLU score (69.7% vs 63.4%)

Llama 3.2 3B Instruct

View details

Detailed Comparison

AI Model Comparison Table
Feature	Jamba 1.5 Mini	Llama 3.2 3B Instruct

FAQ

Common questions about Jamba 1.5 Mini vs Llama 3.2 3B Instruct.

Which is better, Jamba 1.5 Mini or Llama 3.2 3B Instruct?

Both models are evenly matched across the benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Llama 3.2 3B Instruct 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 Mini compare to Llama 3.2 3B Instruct in benchmarks?

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 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%.

Is Jamba 1.5 Mini cheaper than Llama 3.2 3B Instruct?

Llama 3.2 3B Instruct is 20.0x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. Llama 3.2 3B Instruct costs $0.01/M input and $0.02/M output via deepinfra.

What are the context window sizes for Jamba 1.5 Mini and Llama 3.2 3B Instruct?

Jamba 1.5 Mini supports 256K tokens and Llama 3.2 3B Instruct 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 Llama 3.2 3B Instruct?

Key differences include context window (256K vs 128K), input pricing ($0.20 vs $0.01/M), licensing (Jamba Open Model License vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Mini and Llama 3.2 3B Instruct?

Jamba 1.5 Mini is developed by AI21 Labs and Llama 3.2 3B Instruct is developed by Meta.