Claude 3 Haiku vs Llama 3.2 3B Instruct
Claude 3 Haiku and Llama 3.2 3B Instruct are closely matched at -1.5 and -6.1 on the LLM Stats Score. Llama 3.2 3B Instruct is 40.0x cheaper per token.
Anthropic · Meta · Updated for 2026
Which is better?
Claude 3 Haiku and Llama 3.2 3B Instruct are closely matched on the overall LLM Stats Score at -1.5 and -6.1.
In the 7 individual benchmarks reported for both models, Claude 3 Haiku wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.2 3B Instruct is roughly 40.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3 Haiku also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude 3 Haiku
- you value its reported benchmark strengths — it wins 6 of 7 exact shared results
- you process long inputs — it offers a 200,000 token context window
Choose Llama 3.2 3B Instruct
- cost matters — it's about 40.0x cheaper per token
- you want the most recent training data — it shipped Sep 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
10 reported for Claude 3 Haiku · 15 for Llama 3.2 3B Instruct
Claude 3 Haiku outperforms in 6 benchmarks (ARC-C, GPQA, GSM8k, HellaSwag, MGSM, MMLU), while Llama 3.2 3B Instruct is better at 1 benchmark (MATH).
Claude 3 Haiku significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 25.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 62.5x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).
In conclusion, Claude 3 Haiku is more expensive than Llama 3.2 3B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3 Haiku accepts 200,000 input tokens compared to Llama 3.2 3B Instruct's 128,000 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while Llama 3.2 3B Instruct is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3 Haiku supports multimodal inputs, whereas Llama 3.2 3B 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
Llama 3.2 3B Instruct
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while Llama 3.2 3B Instruct uses Llama 3.2 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.2 Community License
Open weights
Release Timeline
When each model was launched
Claude 3 Haiku was released on 2024-03-13, while Llama 3.2 3B Instruct was released on 2024-09-25.
Llama 3.2 3B Instruct is 7 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Sep 25, 2024
2.0 years ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. Llama 3.2 3B Instruct is available from DeepInfra.
Claude 3 Haiku
Llama 3.2 3B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs Llama 3.2 3B Instruct.