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Claude 3.5 Haiku vs Llama 3.1 8B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude 3.5 Haiku and Llama 3.1 8B.

Anthropic

Claude 3.5 Haiku

Claude 3.5 Haiku is the fast, cost-efficient member of the Claude 3.5 model family from Anthropic, built to deliver strong performance for coding, text processing, and multi-turn conversation at minimal inference cost. With a 200,000-token context window and pricing at $0.80/MTok for input, it is optimized for high-throughput, latency-sensitive production applications such as real-time chat interfaces, code completion tools, and classification systems. While smaller than its Sonnet and Opus siblings, Claude 3.5 Haiku retains Anthropic's strong alignment and safety properties, making it a reliable choice for consumer-facing AI features.

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Meta

Llama 3.1 8B

Llama 3.1 8B is Meta's lightweight open-weight model from the Llama 3.1 generation, optimized for efficient deployment on consumer hardware and edge devices. Despite its compact 8-billion-parameter size, it delivers strong performance on instruction following, text summarization, and lightweight coding tasks. Lllama 3.1 8B is the most downloaded model in the Llama family and runs efficiently on laptops, single GPUs, and CPU via quantization โ€” making it the default choice for on-device AI applications and local prototyping.

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Technical Specifications

SpecificationClaude 3.5 HaikuLlama 3.1 8B
ProviderAnthropicMeta
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/A74/100
Time to First Token (TTFT)N/A80 ms
Deployment ModelN/Aself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-11-042024-07-23

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Haiku

$0.80

Llama 3.1 8B

$0.04

Output Price per Million Tokens

Claude 3.5 Haiku

$4.00

Llama 3.1 8B

$0.04

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7520.0%vsN/A
Claude 3.5 Haiku
Llama 3.1 8B
HumanEvalPython coding & logic synthesis
8810.0%vsN/A
Claude 3.5 Haiku
Llama 3.1 8B
MATHComplex mathematical problem solving
5160.0%vsN/A
Claude 3.5 Haiku
Llama 3.1 8B
GPQAGraduate-level expert reasoning
4150.0%vsN/A
Claude 3.5 Haiku
Llama 3.1 8B
HellaSwagCommonsense reasoning and inference
8920.0%vsN/A
Claude 3.5 Haiku
Llama 3.1 8B
MT-BenchMulti-turn conversation flow quality
850.0%vsN/A
Claude 3.5 Haiku
Llama 3.1 8B

Claude 3.5 Haiku Quirks & Gotchas

No developer gotchas reported.

Llama 3.1 8B Quirks & Gotchas

  • โ–ธPerfect for CPU/edge deployment โ€” runs on Raspberry Pi with quantization
  • โ–ธLimited tool calling vs larger models โ€” best for simple classification and chat