Model comparison

vs

Kimi K3.1 Pro vs Claude Sonnet 5.5

Moonshot AI against Anthropic, compared on listed price, real workload cost, context and capabilities.

The short answer

  • On Terminal-Bench 4.0, as each maker reports it, Kimi K3.1 Pro scores 65.7% and Claude Sonnet 5.5 70.6%.
  • Kimi K3.1 Pro and Claude Sonnet 5.5 list the same input and output prices.
  • Claude Sonnet 5.5 reads cached input for less ($0.1/M against Kimi K3.1 Pro's $0.2/M), which decides the bill for agents that resend long context.

Side-by-side specs

SpecKimi K3.1 ProClaude Sonnet 5.5
ProviderMoonshot AIAnthropic
Input price$2/M$2/M
Output price$10/M$10/M
Cached input$0.2/M$0.1/M
Blended price (3:1)$4/M$4/M
Context window1M tokens1M tokens
Max output—128k tokens
InputText, ImagesText, Images
Structured outputYesYes
WeightsClosedClosed
ReleasedOctober 2026September 28, 2026
Terminal-Bench 4.0 (maker-reported)65.7%70.6%

Same work, both models

WorkloadKimi K3.1 ProClaude Sonnet 5.5
One chat reply3,000 tokens in, 500 outSame$0.01$0.01
Summarise a 100-page report50,000 tokens in, 1,500 out, one request$0.12$0.12
1,000 classification calls500 tokens in, 20 out, per call$1.20$1.20
Coding-agent session2M tokens in across ~60 turns, 60,000 out, no cache$4.60$4.60
Same session, cached85% of input read from the prompt cache, the rest written to itWithin 5%$1.54$1.52

At listed rates. Token counts are typical sizes, not measurements.

Kimi K3.1 Pro pricing notes

  • Not included in any plan: every request bills from credits.
  • Context caching is automatic: cache hits bill at $0.20 per 1M input tokens, a tenth of the input rate.
  • Thinking is always on, at max effort by default, and reasoning tokens bill at the output rate.

Claude Sonnet 5.5 pricing notes

  • The full 1M-token window bills at the standard rate, with no long-context surcharge.
  • Cache writes bill at $2.50 per 1M tokens (5-minute tier); cache hits at $0.10, half Sonnet 5's $0.20.

When to pick which

Kimi K3.1 Pro

The first model of Moonshot AI's K3.1 series and its most capable Kimi to date: a 3T-class reasoning model with native vision and a 1M-token context. It costs a third less per token than Kimi K3; Moonshot says full weights ship by November 4, 2026.

Pick it if

  • you want Moonshot's current flagship at a lower rate than Kimi K3
  • your prompts outgrow the 256K context of Kimi 2.6 and 2.7 Code
  • you resend long prompts, so cache hits bill at a tenth of input

Skip it if

  • you need temperature or top_p control: they are fixed
  • Kimi 2.6 or 2.7 Code covers your workload at a lower rate

Claude Sonnet 5.5

Anthropic's mid-tier Claude model, which Anthropic describes as its best combination of speed and intelligence. It succeeds Sonnet 5 at the same $2 / $10 rate, with a 1M-token context and half the cache-read price, and sits below Opus 5.5.

Pick it if

  • you want Claude at half of Opus 5.5's per-token price
  • you resend long prompts; cache hits bill at 5% of input
  • your prompts need a 1M-token window at the standard rate

Skip it if

  • Haiku 5.5 handles your high-volume classification or routing more cheaply
  • your code forces tool use or sets temperature; both return errors

FAQ

Which is better, Kimi K3.1 Pro or Claude Sonnet 5.5?

On Terminal-Bench 4.0, as each maker reports it, Kimi K3.1 Pro scores 65.7% and Claude Sonnet 5.5 70.6%. These are each maker's own numbers, not a controlled head-to-head; the spec table lists every benchmark both publish.

Which is cheaper, Kimi K3.1 Pro or Claude Sonnet 5.5?

Kimi K3.1 Pro and Claude Sonnet 5.5 list the same input and output prices. On a coding-agent session (2M tokens in, 60,000 out) Kimi K3.1 Pro costs $4.60 and Claude Sonnet 5.5 $4.60.

Can I switch between Kimi K3.1 Pro and Claude Sonnet 5.5 mid-task?

Yes. In an Octomind session, /model octohub:kimi-k3.1-pro and /model octohub:claude-sonnet-5-5 switch models without losing the conversation, so you can draft on one and review on the other.

Try either model

Switch between models inside the same Octomind session.

Prices from the catalog of 2026-10-24