Model Comparison

Jamba 1.5 Large vs Llama 3.1 Nemotron 70B InstructWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Jamba 1.5 Large vs Llama 3.1 Nemotron 70B Instruct — which is better?

Jamba 1.5 Large (by AI21 Labs) and Llama 3.1 Nemotron 70B Instruct (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Jamba 1.5 Large outperforms in 2 benchmarks (ARC-C, MMLU), while Llama 3.1 Nemotron 70B Instruct is better at 2 benchmarks (GSM8k, TruthfulQA). Both models are evenly matched across the benchmarks.

Choose Jamba 1.5 Large if…

  • you want predictable pricing at $2.00/M input and $8.00/M output

Choose Llama 3.1 Nemotron 70B Instruct if…

  • you want the most recent training data — it shipped Oct 2024

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Jamba 1.5 Large outperforms in 2 benchmarks (ARC-C, MMLU), while Llama 3.1 Nemotron 70B Instruct is better at 2 benchmarks (GSM8k, TruthfulQA).

Both models are evenly matched across the benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

328.0B diff

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

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

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 70B Instruct
Input- tokens
Output- tokens
Sun Jul 26 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 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 Nemotron 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 Nemotron 70B Instruct was released on 2024-10-01.

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

Jamba 1.5 Large

Aug 22, 2024

1.9 years ago

Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.8 years ago

1mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a knowledge cutoff of 2024-03-05, while Llama 3.1 Nemotron 70B Instruct 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 70B Instruct (2023-12-01).

Jamba 1.5 Large

Mar 2024

3 mo newer
Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Higher ARC-C score (93.0% vs 69.2%)
Higher MMLU score (81.2% vs 80.2%)
NVIDIA
Higher GSM8k score (91.4% vs 87.0%)
Higher TruthfulQA score (58.6% vs 58.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Jamba 1.5 Large and Llama 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

Jamba 1.5 Large
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground
AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
NVIDIA
Llama 3.1 Nemotron 70B Instruct

FAQ

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

Which is better, Jamba 1.5 Large or Llama 3.1 Nemotron 70B Instruct?

Both models are evenly matched across the benchmarks. Jamba 1.5 Large is made by AI21 Labs and Llama 3.1 Nemotron 70B Instruct 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 70B Instruct 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 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.

What are the context window sizes for Jamba 1.5 Large and Llama 3.1 Nemotron 70B Instruct?

Jamba 1.5 Large supports 256K tokens and Llama 3.1 Nemotron 70B Instruct 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 70B Instruct?

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 70B Instruct?

Jamba 1.5 Large is developed by AI21 Labs and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

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