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Claude 3.5 Haiku vs GPT-4 Turbo

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 GPT-4 Turbo.

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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OpenAI

GPT-4 Turbo

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

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Technical Specifications

SpecificationClaude 3.5 HaikuGPT-4 Turbo
ProviderAnthropicOpenAI
Context Window200,000 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-11-042024-04-09

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Haiku

$0.80

GPT-4 Turbo

$10.00

Output Price per Million Tokens

Claude 3.5 Haiku

$4.00

GPT-4 Turbo

$30.00

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%vs8640.0%
Claude 3.5 Haiku
GPT-4 Turbo
HumanEvalPython coding & logic synthesis
8810.0%vs8800.0%
Claude 3.5 Haiku
GPT-4 Turbo
MATHComplex mathematical problem solving
5160.0%vs7300.0%
Claude 3.5 Haiku
GPT-4 Turbo
GPQAGraduate-level expert reasoning
4150.0%vs5000.0%
Claude 3.5 Haiku
GPT-4 Turbo
HellaSwagCommonsense reasoning and inference
8920.0%vs8600.0%
Claude 3.5 Haiku
GPT-4 Turbo
MT-BenchMulti-turn conversation flow quality
850.0%vs880.0%
Claude 3.5 Haiku
GPT-4 Turbo

Claude 3.5 Haiku Quirks & Gotchas

No developer gotchas reported.

GPT-4 Turbo Quirks & Gotchas

No developer gotchas reported.