Model Comparison

Jamba 1.5 Large vs Llama 3.1 70B Instruct

Llama 3.1 70B Instruct significantly outperforms across most benchmarks. Llama 3.1 70B Instruct is 17.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Llama 3.1 70B Instruct is better at 4 benchmarks (ARC-C, GPQA, MMLU, MMLU-Pro).

Llama 3.1 70B Instruct significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 70B Instruct costs less

For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 10.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 40.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Llama 3.1 70B Instruct.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Meta
Llama 3.1 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
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Model Size

Parameter count comparison

328.0B diff

Jamba 1.5 Large has 328.0B more parameters than Llama 3.1 70B Instruct, making it 468.6% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Meta
Llama 3.1 70B Instruct
70.0Bparameters
398.0B
Jamba 1.5 Large
70.0B
Llama 3.1 70B Instruct

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Llama 3.1 70B Instruct's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Llama 3.1 70B Instruct is limited to 128,000 tokens.

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Meta
Llama 3.1 70B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Llama 3.1 70B 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 Large

Jamba Open Model License

Open weights

Llama 3.1 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Llama 3.1 70B Instruct was released on 2024-07-23.

Jamba 1.5 Large is 1 month newer than Llama 3.1 70B Instruct.

Jamba 1.5 Large

Aug 22, 2024

1.6 years ago

1mo newer
Llama 3.1 70B Instruct

Jul 23, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Llama 3.1 70B Instruct'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 3.1 70B Instruct's cutoff date.

Jamba 1.5 Large

Mar 2024

Llama 3.1 70B Instruct

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Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. Llama 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova.

Jamba 1.5 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Llama 3.1 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $0.78/1M
cerebras logo
Cerebras
Input Price:Input: $0.60/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
sambanova logo
Sambanova
Input Price:Input: $5.00/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Meta
Less expensive input tokens
Less expensive output tokens
Higher ARC-C score (94.8% vs 93.0%)
Higher GPQA score (41.7% vs 36.9%)
Higher MMLU score (83.6% vs 81.2%)
Higher MMLU-Pro score (66.4% vs 53.5%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Meta
Llama 3.1 70B Instruct

FAQ

Common questions about Jamba 1.5 Large vs Llama 3.1 70B Instruct

Llama 3.1 70B Instruct significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Llama 3.1 70B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Llama 3.1 70B Instruct scores GSM-8K (CoT): 95.1%, ARC-C: 94.8%, API-Bank: 90.0%, IFEval: 87.5%, Multilingual MGSM (CoT): 86.9%.
Llama 3.1 70B Instruct is 10.0x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. Llama 3.1 70B Instruct costs $0.20/M input and $0.20/M output via lambda.
Jamba 1.5 Large supports 256K tokens and Llama 3.1 70B 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 ($2.00 vs $0.20/M), licensing (Jamba Open Model License vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Large is developed by AI21 Labs and Llama 3.1 70B Instruct is developed by Meta.