Requesty

deepseek-ai/DeepSeek-R1 vs moonshotai/Kimi-K2.5

Side-by-side comparison of deepseek-ai/DeepSeek-R1 and moonshotai/Kimi-K2.5: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Pricing & specifications

deepseek-ai/DeepSeek-R1moonshotai/Kimi-K2.5
Input price / 1M$0.85$0.45
Output price / 1M$2.50$2.25
Context window64K tokens262K tokens
Max output8K tokens131K tokens
Vision inputN/AYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingN/AYes
Computer useN/AN/A
ProviderDeepInfraDeepInfra

Questions people ask

Is deepseek-ai/DeepSeek-R1 better than moonshotai/Kimi-K2.5?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper, deepseek-ai/DeepSeek-R1 or moonshotai/Kimi-K2.5?
moonshotai/Kimi-K2.5 is cheaper. deepseek-ai/DeepSeek-R1 costs $0.85/$2.50 per 1M input/output tokens, while moonshotai/Kimi-K2.5 costs $0.45/$2.25.
Can I use deepseek-ai/DeepSeek-R1 and moonshotai/Kimi-K2.5 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "deepinfra/deepseek-ai/DeepSeek-R1" and "deepinfra/moonshotai/Kimi-K2.5", no other code changes needed.
What are the context windows?
deepseek-ai/DeepSeek-R1 supports up to 64K tokens of context. moonshotai/Kimi-K2.5 supports up to 262K tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.

Switch between deepseek-ai/DeepSeek-R1 and moonshotai/Kimi-K2.5 with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.