LLM ComparisonGPT-4oClaude 4.5 Haiku

GPT-4o vs Claude 4.5 Haiku

Compare GPT-4o and Claude 4.5 Haiku. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-4oClaude 4.5 Haiku
ProviderOpenAIAnthropic
Model Typetexttext
Context Window128,000 tokens200,000 tokens
Input Cost
$2.50/ 1M tokens
$1.00/ 1M tokens
Output Cost
$10.00/ 1M tokens
$5.00/ 1M tokens

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Strengths & Best Use Cases

GPT-4o

OpenAI

1. High-intelligence, general-purpose model

  • Strong reasoning, creativity, summarization, and problem-solving.
  • Great balance of speed, accuracy, and cost.

2. Multimodal input support

  • Accepts text + image inputs for visual reasoning, extraction, or description.
  • Output is text only, making it predictable for production.

3. Excellent for structured and unstructured tasks

  • Performs well on Q&A, writing, analysis, classification, chat, and planning.
  • Supports Structured Outputs, making it suitable for deterministic workflows.

4. Strong tool-use capabilities

  • Supports function calling, API orchestration, and tool-augmented workflows.
  • Integrates well with assistants, batch operations, and automation pipelines.

5. Large context for complex tasks

  • 128K context allows multi-document reasoning, multi-step conversations, and large input payloads.

6. Production-ready reliability

  • Stable outputs, predictable behaviors, and broad modality coverage.
  • Supported across all major API endpoints.

7. Lower latency than o-series reasoning models

  • Faster responses due to no dedicated reasoning step.
  • Ideal for interactive or near-real-time applications.

8. Fine-tuning and distillation supported

  • Enables specialization for domain-specific tasks.
  • Distillation helps create smaller, efficient custom models.

Claude 4.5 Haiku

Anthropic

1. Frontier-level coding at small-model speed

  • Similar coding performance to Claude Sonnet 4 at one-third the cost.
  • Runs 4-5x faster than Sonnet 4.5 for many tasks.
  • Ideal for real-time pair programming, prototyping, and rapid iteration.

2. Excellent computer-use abilities

  • Surpasses Claude Sonnet 4 in certain computer-control tasks.
  • Great for agents requiring low-latency tool use (Chrome automation, coding agents, etc.).

3. Perfect for real-time, low-latency applications

  • Chat assistants
  • Customer support agents
  • Interactive development loops
  • Multi-agent orchestration

4. Works seamlessly with Sonnet 4.5 in hybrid agent setups

  • Sonnet 4.5 plans complex workflows.
  • Haiku 4.5 executes subtasks in parallel for speed and cost-efficiency.

5. High alignment & safest Claude model by metric

  • Lower misaligned behavior rates than Haiku 3.5, Sonnet 4.5, and Opus 4.1.
  • Limited CBRN risk → released under AI Safety Level 2 (ASL-2).

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