Model Comparison
GPT-4o mini Realtime (Dec '24)
vs. K2.5 (Non-reasoning)
Comparing 2 AI models · 7 benchmarks · OpenAI, Kimi
Recommended Pick
OpGPT-4o mini Realtime (Dec '24)4 metric winsStrongest on: Input price, Output price, TTFT
Lowest Price
GPT-4o mini Realtime (Dec '24)
$0.00/1M input price
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 K2.5 (Non-reasoning).
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
—
Time
—
tok/s
—
Tokens
—
Cost
—
K2.5 (Non-reasoning)
Kimi
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Top Pick Op GPT-4o mini Realtime (Dec '24) | Ki K2.5 (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.60/1M |
| Output Cost | $0.00/1M | $3.00/1M |
| Blended (3:1) | — | $1.20/1M |
| Specifications | ||
| Organization | OpenAI | Kimi |
| Release Date | Dec 17, 2024 | Jan 27, 2026 |
| Performance & Speed | ||
| Throughput | — | 46.0 tok/s |
| TTFT | — | 1149ms |
| Latency | — | 1149ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 40.2 |
| Intelligence | — | 29.4 |
| Standard Benchmarks | ||
| GPQA | — | 78.9% |
| HLE | — | 12.3% |
| SciCode | — | 39.6% |
| LCR | — | 59.0% |
| IFBench | — | 43.7% |
| TAU-bench v2 | — | 81.3% |
| TerminalBench Hard | — | 18.9% |
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.
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
K2.5 (Non-reasoning)
- General-purpose AI
- Versatile applications
