Model Comparison

Jamba 1.5 Mini vs Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Nemotron Nano 8B V1 significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while Llama 3.1 Nemotron Nano 8B V1 is better at 1 benchmark (GPQA).

Llama 3.1 Nemotron Nano 8B V1 significantly outperforms across most benchmarks.

Mon Apr 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

44.0B diff

Jamba 1.5 Mini has 44.0B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 550.0% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
52.0B
Jamba 1.5 Mini
8.0B
Llama 3.1 Nemotron Nano 8B V1

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Mini specifies input context (256,144 tokens). Only Jamba 1.5 Mini specifies output context (256,144 tokens).

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Mon Apr 20 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Llama 3.1 Nemotron Nano 8B V1 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 Nemotron Nano 8B V1

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 Nemotron Nano 8B V1 was released on 2025-03-18.

Llama 3.1 Nemotron Nano 8B V1 is 7 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.1 years ago

6mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a knowledge cutoff of 2024-03-05, while Llama 3.1 Nemotron Nano 8B V1 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 Nemotron Nano 8B V1 (2023-12-31).

Jamba 1.5 Mini

Mar 2024

3 mo newer
Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
NVIDIA
Higher GPQA score (54.1% vs 32.3%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
NVIDIA
Llama 3.1 Nemotron Nano 8B V1

FAQ

Common questions about Jamba 1.5 Mini vs Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Nemotron Nano 8B V1 significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Llama 3.1 Nemotron Nano 8B V1 is made by NVIDIA. 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 3.1 Nemotron Nano 8B V1 scores MATH-500: 95.4%, MBPP: 84.6%, MT-Bench: 81.0%, IFEval: 79.3%, BFCL v2: 63.6%.
Jamba 1.5 Mini supports 256K tokens and Llama 3.1 Nemotron Nano 8B V1 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Jamba Open Model License vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Mini is developed by AI21 Labs and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.