Claude Haiku 5.5 vs Llama 3.2 11B Instruct
Claude Haiku 5.5 leads the LLM Stats Score 50.0 to -1.3. Llama 3.2 11B Instruct is 4.0x cheaper per token.
Anthropic · Meta · Updated for 2026
Which is better?
Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to -1.3, ranking #19 overall.
On price, Llama 3.2 11B Instruct is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 5.5 also accepts a larger context window (1,000,000 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 Haiku 5.5
- overall performance matters — it scores 50.0 and ranks #19 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Llama 3.2 11B Instruct
- cost matters — it's about 4.0x cheaper per token
- 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
36 reported for Claude Haiku 5.5 · 11 for Llama 3.2 11B Instruct
Claude Haiku 5.5 and Llama 3.2 11B Instructdon'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
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 2.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 10.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
In conclusion, Claude Haiku 5.5 is more expensive than Llama 3.2 11B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Haiku 5.5 accepts 1,000,000 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Haiku 5.5 and Llama 3.2 11B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 5.5
Llama 3.2 11B Instruct
License
Usage and distribution terms
Claude Haiku 5.5 is licensed under a proprietary license, while Llama 3.2 11B 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 Haiku 5.5 was released on 2026-10-07, while Llama 3.2 11B Instruct was released on 2024-09-25.
Claude Haiku 5.5 is 25 months newer than Llama 3.2 11B Instruct.
Oct 7, 2026
0 days ago
2.0yr newerSep 25, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a knowledge cutoff of 2026-06-01, while Llama 3.2 11B Instruct has a cutoff of 2023-12-31.
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 3.2 11B Instruct (2023-12-31).
Jun 2026
2.5 yr newerDec 2023
Provider Availability
Claude Haiku 5.5 is available from Anthropic. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.
Claude Haiku 5.5
Llama 3.2 11B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs Llama 3.2 11B Instruct.