Model Comparison

Jamba 1.5 Mini vs Llama 3.1 8B Instruct

Jamba 1.5 Mini shows notably better performance in the majority of benchmarks. Llama 3.1 8B Instruct is 8.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Jamba 1.5 Mini outperforms in 3 benchmarks (ARC-C, GPQA, MMLU), while Llama 3.1 8B Instruct is better at 1 benchmark (MMLU-Pro).

Jamba 1.5 Mini shows notably better performance in the majority of benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 8B Instruct costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 6.7x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 13.3x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than Llama 3.1 8B Instruct.*

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

Lowest available price from all providers

Tue May 12 2026 • llm-stats.com

Jamba 1.5 Mini

Input tokens$0.20

Output tokens$0.40

Best providerAWS Bedrock

Llama 3.1 8B Instruct

Input tokens$0.03

Output tokens$0.03

Best providerLambda

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Model Size

Parameter count comparison

44.0B diff

Jamba 1.5 Mini has 44.0B more parameters than Llama 3.1 8B Instruct, making it 550.0% larger.

Jamba 1.5 Mini

52.0Bparameters

Llama 3.1 8B Instruct

8.0Bparameters

52.0B

Jamba 1.5 Mini

8.0B

Llama 3.1 8B Instruct

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Llama 3.1 8B Instruct's 131,072 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Llama 3.1 8B Instruct is limited to 131,072 tokens.

Jamba 1.5 Mini

Input256,144 tokens

Output256,144 tokens

Llama 3.1 8B Instruct

Input131,072 tokens

Output131,072 tokens

Tue May 12 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Llama 3.1 8B Instruct uses Llama 3.1 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 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Llama 3.1 8B Instruct was released on 2024-07-23.

Jamba 1.5 Mini is 1 month newer than Llama 3.1 8B Instruct.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

1mo newer

Llama 3.1 8B Instruct

Jul 23, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a knowledge cutoff of 2024-03-05, while Llama 3.1 8B Instruct has a cutoff of 2023-12-31.

Jamba 1.5 Mini has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to Llama 3.1 8B Instruct (2023-12-31).

Jamba 1.5 Mini

Mar 2024

3 mo newer

Llama 3.1 8B Instruct

Dec 2023

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock.

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 3.1 8B Instruct

Lambda

Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M

Deepinfra

Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M

Groq

Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M

Sambanova

Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M

Cerebras

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

Hyperbolic

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

Together

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

Fireworks

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

AWS Bedrock

Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M

* 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 83.4%)

Higher GPQA score (32.3% vs 30.4%)

Higher MMLU score (69.7% vs 69.4%)

Llama 3.1 8B Instruct

View details

Detailed Comparison

AI Model Comparison Table
Feature	Jamba 1.5 Mini	Llama 3.1 8B Instruct

FAQ

Common questions about Jamba 1.5 Mini vs Llama 3.1 8B Instruct.

Which is better, Jamba 1.5 Mini or Llama 3.1 8B Instruct?

Jamba 1.5 Mini shows notably better performance in the majority of benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Llama 3.1 8B 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 3.1 8B 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 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%.

Is Jamba 1.5 Mini cheaper than Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct is 6.7x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. Llama 3.1 8B Instruct costs $0.03/M input and $0.03/M output via lambda.

What are the context window sizes for Jamba 1.5 Mini and Llama 3.1 8B Instruct?

Jamba 1.5 Mini supports 256K tokens and Llama 3.1 8B Instruct supports 131K 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 3.1 8B Instruct?

Key differences include context window (256K vs 131K), input pricing ($0.20 vs $0.03/M), licensing (Jamba Open Model License vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Mini and Llama 3.1 8B Instruct?

Jamba 1.5 Mini is developed by AI21 Labs and Llama 3.1 8B Instruct is developed by Meta.