Model Comparison
GPT-4o mini Realtime (Dec '24)
vs. Kimi K2.6
Comparing 2 AI models · 7 benchmarks · OpenAI, MoonshotAI
Recommended Pick
Op GPT-4o mini Realtime (Dec '24) 4 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
GPT-4o mini Realtime (Dec '24)
$0.00/1M input price
Best for Coding
Kimi K2.6
47.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
GPT-4o mini Realtime (Dec '24) is ∞x cheaper on input tokens than Kimi K2.6.
Top-pick rationale
GPT-4o mini Realtime (Dec '24) wins 4 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4o mini Realtime (Dec '24)
OpenAI
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Kimi K2.6
MoonshotAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Op GPT-4o mini Realtime (Dec '24) | Mo Kimi K2.6 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.95/1M |
| Output Cost | $0.00/1M | $4.00/1M |
| Blended (3:1) | — | $1.71/1M |
| Specifications | ||
| Organization | OpenAI | MoonshotAI |
| Release Date | Dec 17, 2024 | Apr 20, 2026 |
| Performance & Speed | ||
| Throughput | — | 44.9 tok/s |
| TTFT | — | 1235ms |
| Latency | — | 100302ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 60.3 |
| Intelligence | — | 53.9 |
| Coding | — | 47.1 |
| Standard Benchmarks | ||
| GPQA | — | 91.1% |
| HLE | — | 35.9% |
| SciCode | — | 53.5% |
| LCR | — | 69.7% |
| IFBench | — | 76.0% |
| TAU-bench v2 | — | 95.9% |
| TerminalBench Hard | — | 43.9% |
Key Takeaways
GPT-4o mini Realtime (Dec '24) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Kimi K2.6 reaches a 47.1 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GPT-4o mini Realtime (Dec '24)
- Cost-sensitive applications
- High-volume processing
Kimi K2.6
- Code generation
- Software development
