GPT-4.1 vs Grok 3 Mini

Compare GPT-4.1 and Grok 3 Mini. Find out which one is better for your use case.

Model Comparison

FeatureGPT-4.1Grok 3 Mini
ProviderOpenAIxAI
Model Typetexttext
Context Window1,047,576 tokens131,072 tokens
Input Cost$2.00 / 1M tokens$0.30 / 1M tokens
Output Cost$8.00 / 1M tokens$0.50 / 1M tokens

Strengths & Best Use Cases

GPT-4.1

1. Smartest non-reasoning model

  • Highest intelligence among models without a reasoning step.
  • Great for tasks where speed + accuracy matter without deep chain-of-thought.

2. Excellent instruction following

  • Very strong at structured tasks, formatting, and precise execution.
  • Ideal for productized workflows and deterministic outputs.

3. Reliable tool calling

  • Works smoothly with Web Search, File Search, Image Generation, and Code Interpreter.
  • Supports MCP and advanced tool-enabled API flows.

4. Large 1M-token context window

  • Allows extremely long conversations, large documents, and multi-file use cases.
  • Handles context-heavy tasks without requiring chunking.

5. Low latency (no reasoning step)

  • Faster responses than GPT-5 family when reasoning mode isn't required.
  • More predictable timing for production use.

6. Multimodal input

  • Accepts text + image.
  • Output is text only.

7. Supports fine-tuning

  • Can be fine-tuned for specialized tasks.
  • Also supports distillation for smaller custom models.

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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