Model Comparison

Jamba 1.5 Large vs Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Llama 3.1 Nemotron Ultra 253B v1 is better at 1 benchmark (GPQA).

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

145.0B diff

Jamba 1.5 Large has 145.0B more parameters than Llama 3.1 Nemotron Ultra 253B v1, making it 57.3% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
253.0Bparameters
398.0B
Jamba 1.5 Large
253.0B
Llama 3.1 Nemotron Ultra 253B v1

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Sat May 02 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Llama 3.1 Nemotron Ultra 253B 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 Large

Jamba Open Model License

Open weights

Llama 3.1 Nemotron Ultra 253B v1

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 Nemotron Ultra 253B v1 was released on 2025-04-07.

Llama 3.1 Nemotron Ultra 253B v1 is 8 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.1 years ago

7mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a knowledge cutoff of 2024-03-05, while Llama 3.1 Nemotron Ultra 253B v1 has a cutoff of 2023-12-01.

Jamba 1.5 Large 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 Ultra 253B v1 (2023-12-01).

Jamba 1.5 Large

Mar 2024

3 mo newer
Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

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Key Takeaways

Larger context window (256,000 tokens)
Higher GPQA score (76.0% vs 36.9%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1

FAQ

Common questions about Jamba 1.5 Large vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, Jamba 1.5 Large or Llama 3.1 Nemotron Ultra 253B v1?

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Llama 3.1 Nemotron Ultra 253B v1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Large compare to Llama 3.1 Nemotron Ultra 253B v1 in benchmarks?

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 Nemotron Ultra 253B v1 scores MATH-500: 97.0%, IFEval: 89.5%, GPQA: 76.0%, BFCL v2: 74.1%, AIME 2025: 72.5%.

What are the context window sizes for Jamba 1.5 Large and Llama 3.1 Nemotron Ultra 253B v1?

Jamba 1.5 Large supports 256K tokens and Llama 3.1 Nemotron Ultra 253B v1 supports an unknown number of 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 Large and Llama 3.1 Nemotron Ultra 253B v1?

Key differences include 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 Large and Llama 3.1 Nemotron Ultra 253B v1?

Jamba 1.5 Large is developed by AI21 Labs and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.