Model Comparison
Claude 3 Haiku vs Llama 4 ScoutWhich is better in 2026?
Llama 4 Scout significantly outperforms across most benchmarks. Llama 4 Scout is 3.7x cheaper per token.
Verdict: Claude 3 Haiku vs Llama 4 Scout — which is better?
Claude 3 Haiku (by Anthropic) and Llama 4 Scout (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 3 Haiku outperforms in 0 benchmarks, while Llama 4 Scout is better at 4 benchmarks (GPQA, MATH, MGSM, MMLU). Llama 4 Scout significantly outperforms across most benchmarks.
On price, Llama 4 Scout is roughly 3.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude 3 Haiku if…
- you want predictable pricing at $0.25/M input and $1.25/M output
Choose Llama 4 Scout if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- cost matters — it's about 3.7x cheaper per token
- you process long inputs — it offers a 10,000,000 token context window
- you want the most recent training data — it shipped Apr 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3 Haiku outperforms in 0 benchmarks, while Llama 4 Scout is better at 4 benchmarks (GPQA, MATH, MGSM, MMLU).
Llama 4 Scout significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 3.1x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 4.2x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, Claude 3 Haiku is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to Claude 3 Haiku's 200,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Claude 3 Haiku is limited to 200,000 tokens.
Input Capabilities
Supported data types and modalities
Both Claude 3 Haiku and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3 Haiku
Llama 4 Scout
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while Llama 4 Scout uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
Claude 3 Haiku was released on 2024-03-13, while Llama 4 Scout was released on 2025-04-05.
Llama 4 Scout is 13 months newer than Claude 3 Haiku.
Mar 13, 2024
2.2 years ago
Apr 5, 2025
1.2 years ago
1.1yr 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 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
Claude 3 Haiku
Llama 4 Scout
Outputs Comparison
Key Takeaways
Claude 3 Haiku
View detailsAnthropic
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about Claude 3 Haiku vs Llama 4 Scout.