Model Comparison

Devstral Small 1.1 vs Llama-3.3 Nemotron Super 49B v1

Comparing Devstral Small 1.1 and Llama-3.3 Nemotron Super 49B v1 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Small 1.1 and Llama-3.3 Nemotron Super 49B v1 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

25.9B diff

Llama-3.3 Nemotron Super 49B v1 has 25.9B more parameters than Devstral Small 1.1, making it 107.9% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
24.0B
Devstral Small 1.1
49.9B
Llama-3.3 Nemotron Super 49B v1

Context Window

Maximum input and output token capacity

Only Devstral Small 1.1 specifies input context (128,000 tokens). Only Devstral Small 1.1 specifies output context (128,000 tokens).

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Wed May 13 2026 • llm-stats.com

License

Usage and distribution terms

Devstral Small 1.1 is licensed under Apache 2.0, while Llama-3.3 Nemotron Super 49B v1 uses Llama 3.1 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

Devstral Small 1.1

Apache 2.0

Open weights

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Devstral Small 1.1 is 4 months newer than Llama-3.3 Nemotron Super 49B v1.

Devstral Small 1.1

Jul 11, 2025

10 months ago

3mo newer
Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Devstral Small 1.1's cutoff date is not specified.

We can confirm Llama-3.3 Nemotron Super 49B v1's training data extends to 2023-12-31, but cannot make a direct comparison without Devstral Small 1.1's cutoff date.

Devstral Small 1.1

—

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

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Key Takeaways

Mistral AI
Larger context window (128,000 tokens)
NVIDIA

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Devstral Small 1.1
NVIDIA
Llama-3.3 Nemotron Super 49B v1

FAQ

Common questions about Devstral Small 1.1 vs Llama-3.3 Nemotron Super 49B v1.

Which is better, Devstral Small 1.1 or Llama-3.3 Nemotron Super 49B v1?

Devstral Small 1.1 (Mistral AI) and Llama-3.3 Nemotron Super 49B v1 (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Devstral Small 1.1 compare to Llama-3.3 Nemotron Super 49B v1 in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%.

What are the context window sizes for Devstral Small 1.1 and Llama-3.3 Nemotron Super 49B v1?

Devstral Small 1.1 supports 128K tokens and Llama-3.3 Nemotron Super 49B 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 Devstral Small 1.1 and Llama-3.3 Nemotron Super 49B v1?

Key differences include licensing (Apache 2.0 vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Small 1.1 and Llama-3.3 Nemotron Super 49B v1?

Devstral Small 1.1 is developed by Mistral AI and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.