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deepseek-ai/DeepSeek-R1 vs kimi-k3

Side-by-side comparison of deepseek-ai/DeepSeek-R1 and kimi-k3: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Benchmark comparison

Intelligence Indexreasoning
deepseek-ai/DeepSeek-R1N/A
kimi-k317.4%

Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.

Pricing & specifications

deepseek-ai/DeepSeek-R1kimi-k3
Input price / 1M$0.85$3.00
Output price / 1M$2.50$15.00
Context window64K tokens1.0M tokens
Max output8K tokens1.0M tokens
Vision inputN/AYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingN/AYes
Computer useN/AN/A
ProviderDeepInfraMoonshot AI

Questions people ask

Is deepseek-ai/DeepSeek-R1 better than kimi-k3?
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 kimi-k3?
deepseek-ai/DeepSeek-R1 is cheaper. deepseek-ai/DeepSeek-R1 costs $0.85/$2.50 per 1M input/output tokens, while kimi-k3 costs $3.00/$15.00.
Can I use deepseek-ai/DeepSeek-R1 and kimi-k3 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 "moonshot/kimi-k3", no other code changes needed.
What are the context windows?
deepseek-ai/DeepSeek-R1 supports up to 64K tokens of context. kimi-k3 supports up to 1.0M 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 kimi-k3 with one line of code

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