GPT-4o-mini vs Kimi K2 0711
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-4o-mini and Kimi K2 0711.
GPT-4o-mini
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Kimi K2 0711
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...
Technical Specifications
| Specification | GPT-4o-mini | Kimi K2 0711 |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Context Window | 128,000 tokens | 131,072 tokens |
| Agent Suitability | 82/100 | N/A |
| Time to First Token (TTFT) | 150 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-07-18 | 2025-07-11 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4o-mini
$0.15
Kimi K2 0711
$0.57
Output Price per Million Tokens
GPT-4o-mini
$0.60
Kimi K2 0711
$2.30
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GPT-4o-mini Quirks & Gotchas
- ▸Ultra-low latency — best TTFT in the OpenAI lineup
- ▸Tool calling limited to single-step — not suitable for complex agentic pipelines
Kimi K2 0711 Quirks & Gotchas
No developer gotchas reported.