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Claude 3 Haiku vs Llama 3.1 Nemotron 70B Instruct

Claude 3 Haiku and Llama 3.1 Nemotron 70B Instruct are closely matched at -1.5 and 0.4 on the LLM Stats Score.

Anthropic · NVIDIA · Updated for 2026

Which is better?

Claude 3 Haiku and Llama 3.1 Nemotron 70B Instruct are closely matched on the overall LLM Stats Score at -1.5 and 0.4.

The models split the 4 individual benchmarks reported for both models evenly.

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 70B Instruct

  • you want the most recent training data — it shipped Oct 2024
  • 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 70B Instruct
NVIDIA
Core performance indexes
LLM Stats Score
-1.5
#338
0.4
#327
Reasoning
-1.5
#331
0.1
#320
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
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 70B Instruct
Math
4.3#283
7.0#266
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

10 reported for Claude 3 Haiku · 11 for Llama 3.1 Nemotron 70B Instruct

4 shared

Claude 3 Haiku outperforms in 2 benchmarks (ARC-C, HellaSwag), while Llama 3.1 Nemotron 70B Instruct is better at 2 benchmarks (GSM8k, MMLU).

Both models are evenly matched across the benchmarks.

Tue Sep 22 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 70B Instruct
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude 3 Haiku supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct 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 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3 Haiku is licensed under a proprietary 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.

Claude 3 Haiku

Proprietary

Closed source

Llama 3.1 Nemotron 70B Instruct

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 70B Instruct was released on 2024-10-01.

Llama 3.1 Nemotron 70B Instruct is 7 months newer than Claude 3 Haiku.

Claude 3 Haiku

Mar 13, 2024

2.5 years ago

Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

2.0 years ago

6mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct 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 70B Instruct'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 70B Instruct

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 70B Instruct side-by-side, then vote on the output you prefer.

Claude 3 Haiku
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground

FAQ

Common questions about Claude 3 Haiku vs Llama 3.1 Nemotron 70B Instruct.

Which is better, Claude 3 Haiku or Llama 3.1 Nemotron 70B Instruct?

Claude 3 Haiku and Llama 3.1 Nemotron 70B Instruct are closely matched on the LLM Stats Score at -1.5 and 0.4. Claude 3 Haiku is made by Anthropic and Llama 3.1 Nemotron 70B Instruct 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 70B Instruct 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 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 Claude 3 Haiku and Llama 3.1 Nemotron 70B Instruct?

Claude 3 Haiku supports 200K 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 Claude 3 Haiku and Llama 3.1 Nemotron 70B Instruct?

Key differences include LLM Stats Score (-1.5 vs 0.4), 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 70B Instruct?

Claude 3 Haiku is developed by Anthropic and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

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