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LLM Comparisono3Claude 4.5 Haiku

o3 vs Claude 4.5 Haiku

Compare o3 and Claude 4.5 Haiku. Build AI products powered by either model on Appaca.

Model Comparison

Featureo3Claude 4.5 Haiku
ProviderOpenAIAnthropic
Model Typetexttext
Context Window200,000 tokens200,000 tokens
Input Cost
$2.00/ 1M tokens
$1.00/ 1M tokens
Output Cost
$8.00/ 1M tokens
$5.00/ 1M tokens

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Strengths & Best Use Cases

o3

OpenAI

1. Advanced reasoning capability

  • Designed for multi-step thinking across text, code, and visual inputs.
  • Excels at math, science, logic puzzles, and complex analytical workflows.

2. Strong performance across domains

  • Highly capable in technical writing, data analysis, and structured problem-solving.
  • Useful for research, engineering tasks, and intricate instruction-following.

3. Visual reasoning support

  • Accepts image inputs, enabling tasks such as diagram analysis, chart interpretation, and visual logic assessments.

4. High output capacity

  • Up to 100,000 output tokens, supporting long-form content, technical breakdowns, and multi-part solutions.

5. Excellent instruction following

  • Produces detailed, step-by-step responses for tasks requiring precision and clarity.
  • Ideal for educational explanations, system design reasoning, and code walkthroughs.

6. Large 200K context window

  • Handles long documents, multi-file reasoning, or extended conversations with minimal loss of context.

7. Broad API support

  • Works with Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, Image Generation, and more.
  • Supports streaming and function calling for advanced workflows.

8. Positioned as a legacy reasoning model

  • Remains extremely capable but formally succeeded by GPT-5, which offers stronger reasoning and performance.

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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