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Claude 3 Haiku vs Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Nemotron Ultra 253B v1 leads the LLM Stats Score 19.2 to -1.4.

Anthropic · NVIDIA · Updated for 2026

Which is better?

Llama 3.1 Nemotron Ultra 253B v1 leads the overall LLM Stats Score 19.2 to -1.4, ranking #204 overall.

In the 1 individual benchmarks reported for both models, Llama 3.1 Nemotron Ultra 253B v1 wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude 3 Haiku

  • you want predictable pricing at $0.25/M input and $1.25/M output

Choose Llama 3.1 Nemotron Ultra 253B v1

  • overall performance matters — it scores 19.2 and ranks #204 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Apr 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude 3 Haiku
Anthropic
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Core performance indexes
LLM Stats Score
-1.4
#333
19.2
#204
Reasoning
-1.4
#326
18.9
#203
Coding
0.6
#237
12.4
#143
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.25 / M
— / M
Output price
$1.25 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude 3 Haiku
Llama 3.1 Nemotron Ultra 253B v1
Math
4.4#281
15.6#213
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

10 reported for Claude 3 Haiku · 6 for Llama 3.1 Nemotron Ultra 253B v1

1 shared

Claude 3 Haiku 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.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Claude 3 Haiku specifies input context (200,000 tokens). Only Claude 3 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude 3 Haiku supports multimodal inputs, whereas Llama 3.1 Nemotron Ultra 253B v1 does not.

Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3 Haiku

Text
Images
Audio
Video

Llama 3.1 Nemotron Ultra 253B v1

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3 Haiku is licensed under a proprietary 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.

Claude 3 Haiku

Proprietary

Closed source

Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Claude 3 Haiku was released on 2024-03-13, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.

Llama 3.1 Nemotron Ultra 253B v1 is 13 months newer than Claude 3 Haiku.

Claude 3 Haiku

Mar 13, 2024

2.5 years ago

Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.4 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while Claude 3 Haiku's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Ultra 253B v1's training data extends to 2023-12-01, but cannot make a direct comparison without Claude 3 Haiku's cutoff date.

Claude 3 Haiku

—

Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Claude 3 Haiku and Llama 3.1 Nemotron Ultra 253B v1 side-by-side, then vote on the output you prefer.

Claude 3 Haiku
✓ Preferred
Llama 3.1 Nemotron Ultra 253B v1
Open in Playground

FAQ

Common questions about Claude 3 Haiku vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, Claude 3 Haiku or Llama 3.1 Nemotron Ultra 253B v1?

Llama 3.1 Nemotron Ultra 253B v1 leads the LLM Stats Score 19.2 to -1.4. Claude 3 Haiku is made by Anthropic and Llama 3.1 Nemotron Ultra 253B v1 is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude 3 Haiku compare to Llama 3.1 Nemotron Ultra 253B v1 in benchmarks?

Claude 3 Haiku scores ARC-C: 89.2%, GSM8k: 88.9%, HellaSwag: 85.9%, DROP: 78.4%, HumanEval: 75.9%. 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 Claude 3 Haiku and Llama 3.1 Nemotron Ultra 253B v1?

Claude 3 Haiku supports 200K 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 Claude 3 Haiku and Llama 3.1 Nemotron Ultra 253B v1?

Key differences include LLM Stats Score (-1.4 vs 19.2), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3 Haiku and Llama 3.1 Nemotron Ultra 253B v1?

Claude 3 Haiku is developed by Anthropic and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.

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