# 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.

- Page: https://models.litellm.ai/compare/claude-sonnet-5-vs-kimi-k3.1-pro
- Claude Sonnet 5: https://models.litellm.ai/models/claude-sonnet-5
- Kimi K3.1 Pro: https://models.litellm.ai/models/kimi-k3.1-pro

## Side by side

| | 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 |

Headline prices in USD per 1M tokens, from LiteLLM's model price file.

## Cheapest provider for each

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

## Benchmark scores

| Benchmark | Claude Sonnet 5 | Kimi K3.1 Pro |
|---|---|---|
| Epoch Capabilities Index (Overall) | 156.7 | 162.0 |
| APEX-Agents (Coding and agents) | 54.5% | 65.5% |

From the Epoch AI Benchmarking Hub (https://epoch.ai/benchmarks), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), data as of October 23, 2026: Epoch's own runs and results it collects from each benchmark's leaderboard. Higher is better.

## When to pick which

- Kimi K3.1 Pro: Returns up to 1,048,576 tokens per response, vs 128,000.

## 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.