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LLM ComparisonGPT-4.1 NanoClaude 3.5 Haiku

GPT-4.1 Nano vs Claude 3.5 Haiku

Compare GPT-4.1 Nano and Claude 3.5 Haiku. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-4.1 NanoClaude 3.5 Haiku
ProviderOpenAIAnthropic
Model Typetexttext
Context Window1,047,576 tokens200,000 tokens
Input Cost
$0.10/ 1M tokens
$0.80/ 1M tokens
Output Cost
$0.40/ 1M tokens
$4.00/ 1M tokens

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Strengths & Best Use Cases

GPT-4.1 Nano

OpenAI

1. Ultra-Fast, Low-Latency Performance

  • The fastest model in the GPT-4.1 family, ideal for real-time interactions and high-throughput applications.
  • Designed for scenarios where speed matters more than complex reasoning.

2. Most Cost-Efficient GPT-4.1 Variant

  • Lowest price point among GPT-4.1 models.
  • Enables large-scale deployments such as support bots, routing systems, and lightweight assistants without high compute costs.

3. Solid Instruction Following

  • Consistent and reliable at following clear instructions.
  • Well-suited for:
    • Classification
    • Simple reasoning
    • Data extraction
    • Content rewriting
    • Chat-style responses

4. Strong Tool Calling Capabilities

  • Built with robust support for:
    • Function calling
    • Structured outputs (e.g., JSON)
    • Lightweight automation tasks
  • Works well within multi-step agent workflows that rely on simple tools.

5. Basic Multimodal Input

  • Supports text and image input.
  • Useful for:
    • Simple visual recognition
    • Alt-text generation
    • Reading graphics or screenshots

6. Text-Only Output

  • Produces text only, ensuring:
    • Clean structured outputs
    • High reliability for downstream processing
    • Ease of integration into backend systems

7. 1M-Token Context Window

  • Supports up to 1,047,576 tokens, allowing:
    • Long documents
    • Multiple files
    • Large prompt memory
  • Reduces or eliminates the need for chunking and retrieval in many simple workflows.

8. Ideal Use Cases

  • Customer support bots
  • Routing and intent detection
  • Simple agents and workflow automation
  • Content cleanup and rewriting
  • Basic Q&A, summaries, and extraction

9. Broad API Integration

  • Available across major API endpoints:
    • Chat Completions
    • Responses
    • Realtime
    • Assistants
    • Fine-tuning
  • Supports predicted outputs for reliability and determinism.

Claude 3.5 Haiku

Anthropic

1. Intelligence & Benchmark Performance

  • Matches Claude 3 Opus (previous largest model) on many intelligence tasks.
  • Surpasses Claude 3 Opus on multiple evaluations despite being a smaller, faster model.
  • Major improvements across every skill category vs previous Haiku.

2. Coding Strength

  • Scores 40.6% on SWE-bench Verified, outperforming:

    • Claude 3.5 Sonnet (original version)
    • GPT-4o
    • Many agent-driven systems
  • Excellent for engineering assistants, agent coding tasks, and bug fixing.

3. Speed & Latency

  • Same speed class as Claude 3 Haiku (ultra-fast).
  • Ideal for real-time interactions, high request volumes, and UI responsiveness.

4. Tool Use & Instruction Following

  • Better at following instructions than previous Haiku.
  • Stronger at tool use accuracy, making it reliable for agents and workflows.

5. Best Use Cases

  • High-volume, low-latency tasks
  • User-facing products
  • Sub-agent tasks in larger workflows
  • Processing large structured datasets (pricing, inventory, purchase history)
  • Rapid content or code generation where speed matters