Claude Sonnet 5 vs Kimi K3.1 Pro

As of November 10, 2026, Claude Sonnet 5 and Kimi K3.1 Pro cost the same: $2.00 per 1M input tokens and $10.00 per 1M output tokens. Kimi K3.1 Pro has the larger context window: 1,048,576 tokens versus 1,000,000.

Prices from LiteLLM's price fileChecked November 10, 2026

Claude Sonnet 5 vs Kimi K3.1 Pro side by side

Headline prices in US dollars per 1M tokens: each model's own lab where it sells it, otherwise its cheapest provider. Source: LiteLLM model price file, as of November 10, 2026.
	Claude Sonnet 5	Kimi K3.1 Pro
Input, per 1M tokens	$2.00	$2.00
Output, per 1M tokens	$10.00	$10.00
Cache read, per 1M tokens	$0.20	$0.20
Cache write, per 1M tokens	$2.50	$2.00
Context window	1,000,000 tokens	1,048,576 tokens
Max output	128,000 tokens	1,048,576 tokens
Image input	Yes	Yes
Tool calling	Yes	Yes
Structured output (JSON)	Yes	Yes
Prompt caching	Yes	Yes
Reasoning	Yes	Yes
Providers on LiteLLM	11	10
Price shown is from	Anthropic	Moonshot AI
Added to LiteLLM	June 30, 2026	October 24, 2026

Cheapest provider for each

Claude Sonnet 5: Databricks at $2.00 input and $10.00 output per 1M tokens (databricks/databricks-claude-sonnet-5)
Kimi K3.1 Pro: Databricks at $2.00 input and $10.00 output per 1M tokens (databricks/databricks-kimi-k3-1-pro)

Benchmark scores

From the Epoch AI Benchmarking Hub (CC BY 4.0), data as of October 23, 2026. Some results were run by Epoch and others collected by Epoch from each benchmark's own leaderboard, linked in the first column. Each model's best reported reasoning setting is shown in brackets. Higher is better. Only benchmarks with a score for both models are shown.
Benchmark	Claude Sonnet 5	Kimi K3.1 Pro
Overall
Epoch Capabilities Index	156.7	162.0
Coding and agents
APEX-Agents	54.5%	65.5%

When to pick which

Pick Kimi K3.1 Pro for

Returns up to 1,048,576 tokens per response, vs 128,000.

From differences in the data above only; where the data is equal, no reason is given.

Call Claude Sonnet 5 or Kimi K3.1 Pro with LiteLLM

Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.

Python SDK

from litellm import completion

messages = [{"role": "user", "content": "Hello!"}]

# Claude Sonnet 5
response = completion(model="claude-sonnet-5", messages=messages)

# Kimi K3.1 Pro
response = completion(model="moonshot/kimi-k3.1-pro", messages=messages)

# Claude Sonnet 5, falling back to Kimi K3.1 Pro if the call fails
response = completion(model="claude-sonnet-5", messages=messages, fallbacks=["moonshot/kimi-k3.1-pro"])

FAQ

Which is cheaper, Claude Sonnet 5 or Kimi K3.1 Pro?

They cost the same: $2.00 per 1M input tokens and $10.00 per 1M output tokens, as of November 10, 2026.

Which has the larger context window, Claude Sonnet 5 or Kimi K3.1 Pro?

Kimi K3.1 Pro has the larger context window: 1,048,576 tokens, versus 1,000,000 for Claude Sonnet 5.

Can I switch from Claude Sonnet 5 to Kimi K3.1 Pro without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "claude-sonnet-5" to "moonshot/kimi-k3.1-pro", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.