Grok 3 Mini vs Qwen-Max

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.

1. Strong general-purpose reasoning

• Great for coding, analysis, creation, and multi-step tasks.

2. Stable commercial-grade model

• Predictable output quality and long-term stability.

3. Supports batch operations

• Batch inference is 50% cheaper.

4. Good for production agents

• Reliable instruction following and structured output.