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Claude Haiku 5.5 vs Llama 3.1 Nemotron Ultra 253B v1

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 19.1.

Anthropic · NVIDIA · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 19.1, ranking #19 overall.

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

Choose Claude Haiku 5.5

  • overall performance matters — it scores 50.0 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Llama 3.1 Nemotron Ultra 253B v1

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude Haiku 5.5
Anthropic
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Core performance indexes
LLM Stats Score
50.0
#19
19.1
#222
Reasoning
47.2
#27
18.8
#221
Coding
40.2
#13
12.3
#159
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Haiku 5.5
Llama 3.1 Nemotron Ultra 253B v1
Math
25.7#110
15.6#221
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 6 for Llama 3.1 Nemotron Ultra 253B v1

No common benchmarks found

Claude Haiku 5.5 and Llama 3.1 Nemotron Ultra 253B v1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Claude Haiku 5.5 specifies input context (1,000,000 tokens). Only Claude Haiku 5.5 specifies output context (128,000 tokens).

Anthropic
Claude Haiku 5.5
Input1,000,000 tokens
Output128,000 tokens
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Haiku 5.5 supports multimodal inputs, whereas Llama 3.1 Nemotron Ultra 253B v1 does not.

Claude Haiku 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Haiku 5.5

Text
Images
Audio
Video

Llama 3.1 Nemotron Ultra 253B v1

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 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 Haiku 5.5

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 Haiku 5.5 was released on 2026-10-07, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.

Claude Haiku 5.5 is 18 months newer than Llama 3.1 Nemotron Ultra 253B v1.

Claude Haiku 5.5

Oct 7, 2026

1 days ago

1.5yr newer
Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a knowledge cutoff of 2026-06-01, while Llama 3.1 Nemotron Ultra 253B v1 has a cutoff of 2023-12-01.

Claude Haiku 5.5 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Llama 3.1 Nemotron Ultra 253B v1 (2023-12-01).

Claude Haiku 5.5

Jun 2026

2.5 yr newer
Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Llama 3.1 Nemotron Ultra 253B v1 side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Llama 3.1 Nemotron Ultra 253B v1
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, Claude Haiku 5.5 or Llama 3.1 Nemotron Ultra 253B v1?

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 19.1. Claude Haiku 5.5 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 Haiku 5.5 compare to Llama 3.1 Nemotron Ultra 253B v1 in benchmarks?

Claude Haiku 5.5 scores Global-MMLU: 87.8%, MILU: 87.6%, BenchCAD (with Python tool): 87.0%, Chartography: 86.2%, SWE-bench Multilingual: 83.7%. 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 Haiku 5.5 and Llama 3.1 Nemotron Ultra 253B v1?

Claude Haiku 5.5 supports 1.0M 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 Haiku 5.5 and Llama 3.1 Nemotron Ultra 253B v1?

Key differences include LLM Stats Score (50.0 vs 19.1), 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 Haiku 5.5 and Llama 3.1 Nemotron Ultra 253B v1?

Claude Haiku 5.5 is developed by Anthropic and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.

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