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Claude 3.5 Haiku vs Llama 3.1 405B

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 405B.

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 405B

Llama 3.1 405B is Meta's largest open-weight language model and one of the most capable openly available models in the world. With 405 billion parameters, it achieves performance competitive with GPT-4 and Claude Opus across benchmarks spanning general knowledge, mathematics, coding, and multilingual tasks. Llama 3.1 405B is released under Meta's custom commercial license, supporting broad use cases including deployment via major cloud providers (AWS, GCP, Azure) and self-hosted inference with multi-GPU configurations.

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Technical Specifications

SpecificationClaude 3.5 HaikuLlama 3.1 405B
ProviderAnthropicMeta
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/A90/100
Time to First Token (TTFT)N/A550 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 405B

$0.80

Output Price per Million Tokens

Claude 3.5 Haiku

$4.00

Llama 3.1 405B

$0.80

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 405B
HumanEvalPython coding & logic synthesis
8810.0%vsN/A
Claude 3.5 Haiku
Llama 3.1 405B
MATHComplex mathematical problem solving
5160.0%vsN/A
Claude 3.5 Haiku
Llama 3.1 405B
GPQAGraduate-level expert reasoning
4150.0%vsN/A
Claude 3.5 Haiku
Llama 3.1 405B
HellaSwagCommonsense reasoning and inference
8920.0%vsN/A
Claude 3.5 Haiku
Llama 3.1 405B
MT-BenchMulti-turn conversation flow quality
850.0%vsN/A
Claude 3.5 Haiku
Llama 3.1 405B

Claude 3.5 Haiku Quirks & Gotchas

No developer gotchas reported.

Llama 3.1 405B Quirks & Gotchas

  • โ–ธMassive model โ€” requires 8ร— A100 80GB for FP16 inference
  • โ–ธAvailable via Together AI, Fireworks, and Bedrock as managed API