Claude 3.5 Haiku vs Grok 3 Mini

Compare Claude 3.5 Haiku and Grok 3 Mini. Find out which one is better for your use case.

Model Comparison

FeatureClaude 3.5 HaikuGrok 3 Mini
ProviderAnthropicxAI
Model Typetexttext
Context Window200,000 tokens131,072 tokens
Input Cost$0.80 / 1M tokens$0.30 / 1M tokens
Output Cost$4.00 / 1M tokens$0.50 / 1M tokens

Strengths & Best Use Cases

Claude 3.5 Haiku

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

Grok 3 Mini

1. Lightweight but thoughtful reasoning

  • Designed to 'think before responding' with accessible raw thought traces.
  • Excellent for logic puzzles, lightweight reasoning, and systematic tasks.

2. Extremely cost-efficient

  • Only $0.30 per 1M input tokens and $0.50 per 1M output tokens.
  • Cached token support lowers cost to $0.075 per 1M tokens.

3. Fast and responsive

  • Optimized for low-latency applications and high-throughput use cases.
  • Suitable for chatbots, assistants, and automation flows.

4. Supports modern developer features

  • Function calling for tool-augmented workflows.
  • Structured outputs for schema-controlled responses.
  • Integrates cleanly with agents and pipelines.

5. Large 131K context window

  • Can understand and work with long documents, transcripts, or multi-turn sessions.

6. Great for non-domain-heavy tasks

  • Useful for summarization, rewriting, extraction, everyday reasoning, and app logic.
  • Does not require domain expertise to operate effectively.

7. Compatible with enterprise infrastructure

  • Stable rate limits: 480 requests per minute.
  • Same API structure as all Grok 3 models.

8. Optional Live Search support

  • $25 per 1K sources for real-time search augmentation.

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