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Claude 3.5 Haiku vs GPT-4o

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-4o.

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-4o

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

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Technical Specifications

SpecificationClaude 3.5 HaikuGPT-4o
ProviderAnthropicOpenAI
Context Window200,000 tokens128,000 tokens
Agent SuitabilityN/A90/100
Time to First Token (TTFT)N/A280 ms
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-11-042024-05-13

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Haiku

$0.80

GPT-4o

$2.50

Output Price per Million Tokens

Claude 3.5 Haiku

$4.00

GPT-4o

$10.00

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%vs8870.0%
Claude 3.5 Haiku
GPT-4o
HumanEvalPython coding & logic synthesis
8810.0%vs9020.0%
Claude 3.5 Haiku
GPT-4o
MATHComplex mathematical problem solving
5160.0%vs7660.0%
Claude 3.5 Haiku
GPT-4o
GPQAGraduate-level expert reasoning
4150.0%vs5360.0%
Claude 3.5 Haiku
GPT-4o
HellaSwagCommonsense reasoning and inference
8920.0%vs8870.0%
Claude 3.5 Haiku
GPT-4o
MT-BenchMulti-turn conversation flow quality
850.0%vs930.0%
Claude 3.5 Haiku
GPT-4o

Claude 3.5 Haiku Quirks & Gotchas

No developer gotchas reported.

GPT-4o Quirks & Gotchas

  • โ–ธStrong multimodal performance โ€” best vision+tool calling combo
  • โ–ธLegacy model โ€” migrate to GPT-5 for latest improvements