Model Comparison

Jamba 1.5 Large vs Nemotron Nano 9B v2

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Nemotron Nano 9B v2 is better at 1 benchmark (GPQA).

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Thu Apr 30 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
Thu Apr 30 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
NVIDIA
Nemotron Nano 9B v2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

389.1B diff

Jamba 1.5 Large has 389.1B more parameters than Nemotron Nano 9B v2, making it 4371.9% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
398.0B
Jamba 1.5 Large
8.9B
Nemotron Nano 9B v2

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
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .

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

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 12 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Nemotron Nano 9B v2

Aug 18, 2025

8 months ago

12mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a knowledge cutoff of 2024-03-05, while Nemotron Nano 9B v2 has a cutoff of 2024-09-01.

Nemotron Nano 9B v2 has more recent training data (up to 2024-09-01), making it potentially better informed about events through that date compared to Jamba 1.5 Large (2024-03-05).

Jamba 1.5 Large

Mar 2024

Nemotron Nano 9B v2

Sep 2024

6 mo newer

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
NVIDIA
Higher GPQA score (64.0% vs 36.9%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
NVIDIA
Nemotron Nano 9B v2

FAQ

Common questions about Jamba 1.5 Large vs Nemotron Nano 9B v2

Nemotron Nano 9B v2 significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Nemotron Nano 9B v2 is made by NVIDIA. 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%. Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.
Jamba 1.5 Large supports 256K tokens and Nemotron Nano 9B v2 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 NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Large is developed by AI21 Labs and Nemotron Nano 9B v2 is developed by NVIDIA.