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Claude 3.5 Haiku vs Llama 3.3 70B Instruct

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 3.3 70B Instruct.

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 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

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Technical Specifications

SpecificationClaude 3.5 HaikuLlama 3.3 70B Instruct
ProviderAnthropicMeta
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment ModelN/Aself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-11-042024-12-06

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Haiku

$0.80

Llama 3.3 70B Instruct

$0.10

Output Price per Million Tokens

Claude 3.5 Haiku

$4.00

Llama 3.3 70B Instruct

$0.32

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 3.3 70B Instruct
HumanEvalPython coding & logic synthesis
8810.0%vsN/A
Claude 3.5 Haiku
Llama 3.3 70B Instruct
MATHComplex mathematical problem solving
5160.0%vsN/A
Claude 3.5 Haiku
Llama 3.3 70B Instruct
GPQAGraduate-level expert reasoning
4150.0%vsN/A
Claude 3.5 Haiku
Llama 3.3 70B Instruct
HellaSwagCommonsense reasoning and inference
8920.0%vsN/A
Claude 3.5 Haiku
Llama 3.3 70B Instruct
MT-BenchMulti-turn conversation flow quality
850.0%vsN/A
Claude 3.5 Haiku
Llama 3.3 70B Instruct

Claude 3.5 Haiku Quirks & Gotchas

No developer gotchas reported.

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.