GPT-4o mini vs Kimi K2 Thinking
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
OpenAI · Jul 2024
The 2024 budget classic that defined the cheap-LLM tier; GPT-5 nano and mini have since taken its crown.
Moonshot AI · Nov 2025
A trillion-parameter open reasoning agent that can chain 200–300 tool calls — the open-weights agentic standout of late 2025.
The verdict
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: GPT-4o mini works out roughly 4.1x cheaper per blended million tokens. Kimi K2 Thinking also takes 262K of context versus 128K for GPT-4o mini. And Kimi K2 Thinking is open-weights (Modified MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Specs & pricing
| GPT-4o mini | Kimi K2 Thinking | |
|---|---|---|
| modhub Index | — | 67.6 |
| Input price / 1M | $0.15 | $0.6 |
| Output price / 1M | $0.6 | $2.5 |
| Context window | 128K | 262K |
| Max output | 16K | — |
| Open weights | no | yes (Modified MIT) |
| Reasoning model | no | yes |
| Multimodal input | text, image | text |
| Knowledge cutoff | Oct 2023 | Apr 2025 |
| Released | Jul 2024 | Nov 2025 |
| Example monthly cost* | $2.40 | $9.75 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, GPT-4o mini or Kimi K2 Thinking?
- These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: GPT-4o mini works out roughly 4.1x cheaper per blended million tokens. Kimi K2 Thinking also takes 262K of context versus 128K for GPT-4o mini. And Kimi K2 Thinking is open-weights (Modified MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
- Which is cheaper, GPT-4o mini or Kimi K2 Thinking?
- GPT-4o mini costs $0.15/$0.6 per million input/output tokens, while Kimi K2 Thinking costs $0.6/$2.5. For a typical workload of 10M input and 1.5M output tokens per month, that's $2.40 versus $9.75.
- Which model is better for coding, GPT-4o mini or Kimi K2 Thinking?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.