Model Comparison
Claude Haiku 4.5 vs Llama 3.2 11B InstructWhich is better in 2026?
Claude Haiku 4.5 significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is 40.0x cheaper per token.
Verdict: Claude Haiku 4.5 vs Llama 3.2 11B Instruct — which is better?
Claude Haiku 4.5 (by Anthropic) and Llama 3.2 11B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Claude Haiku 4.5 outperforms in 1 benchmarks (GPQA), while Llama 3.2 11B Instruct is better at 0 benchmarks. Claude Haiku 4.5 significantly outperforms across most benchmarks.
On price, Llama 3.2 11B Instruct is roughly 40.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 4.5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Haiku 4.5 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Oct 2025
Choose Llama 3.2 11B Instruct if…
- cost matters — it's about 40.0x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Haiku 4.5 outperforms in 1 benchmarks (GPQA), while Llama 3.2 11B Instruct is better at 0 benchmarks.
Claude Haiku 4.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 20.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 100.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
In conclusion, Claude Haiku 4.5 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 4.5 accepts 200,000 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. Llama 3.2 11B Instruct can generate longer responses up to 128,000 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Both Claude Haiku 4.5 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 4.5
Llama 3.2 11B Instruct
License
Usage and distribution terms
Claude Haiku 4.5 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 4.5 was released on 2025-10-15, while Llama 3.2 11B Instruct was released on 2024-09-25.
Claude Haiku 4.5 is 13 months newer than Llama 3.2 11B Instruct.
Oct 15, 2025
8 months ago
1.1yr newerSep 25, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 4.5 has a knowledge cutoff of 2025-02-01, while Llama 3.2 11B Instruct has a cutoff of 2023-12-31.
Claude Haiku 4.5 has more recent training data (up to 2025-02-01), making it potentially better informed about events through that date compared to Llama 3.2 11B Instruct (2023-12-31).
Feb 2025
1.2 yr newerDec 2023
Provider Availability
Claude Haiku 4.5 is available from Anthropic, Vertex AI. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.
Claude Haiku 4.5
Llama 3.2 11B Instruct
Outputs Comparison
Key Takeaways
Claude Haiku 4.5
View detailsAnthropic
Detailed Comparison
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FAQ
Common questions about Claude Haiku 4.5 vs Llama 3.2 11B Instruct.