Requesty

kimi-k3 vs claude-sonnet-4-5

Side-by-side comparison of kimi-k3 and claude-sonnet-4-5: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Moonshot AI logo
Moonshot AI
kimi-k3
Input / 1M
$3.00
Output / 1M
$15.00
Context
1.0M
Model ID
moonshot/kimi-k3
Google Vertex AI logo
Google Vertex AI
claude-sonnet-4-5
Input / 1M
$3.00
Output / 1M
$15.00
Context
1M
Model ID
vertex/claude-sonnet-4-5

Benchmark comparison

Intelligence Indexreasoning
kimi-k317.4%
claude-sonnet-4-5N/A

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

kimi-k3claude-sonnet-4-5
Input price / 1M$3.00$3.00
Output price / 1M$15.00$15.00
Context window1.0M tokens1M tokens
Max output1.0M tokens64K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesN/A
Prompt cachingYesYes
Computer useN/AYes
ProviderMoonshot AIGoogle Vertex AI

Questions people ask

Is kimi-k3 better than claude-sonnet-4-5?
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, kimi-k3 or claude-sonnet-4-5?
kimi-k3 and claude-sonnet-4-5 have identical combined pricing.
Can I use kimi-k3 and claude-sonnet-4-5 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "moonshot/kimi-k3" and "vertex/claude-sonnet-4-5", no other code changes needed.
What are the context windows?
kimi-k3 supports up to 1.0M tokens of context. claude-sonnet-4-5 supports up to 1M 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 kimi-k3 and claude-sonnet-4-5 with one line of code

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