Model comparison

vs

Grok Build 0.1 vs Kimi 2.7 Code

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

The short answer

  • Kimi 2.7 Code lists the lower input price, while Grok Build 0.1 lists the lower output price.
  • Kimi 2.7 Code reads cached input for less ($0.19/M against Grok Build 0.1's $0.2/M), which decides the bill for agents that resend long context.

Side-by-side specs

SpecGrok Build 0.1Kimi 2.7 Code
ProviderxAIMoonshot AI
Input price$1/M$0.95/M
Output price$2/M$4/M
Cached input$0.2/M$0.19/M
Blended price (3:1)$1.25/M$1.712/M
Context window256k tokens256k tokens
InputText, ImagesText, Images, Video
Structured outputYesYes
WeightsClosedOpen (Modified MIT)
ReleasedMay 29, 2026—

Same work, both models

WorkloadGrok Build 0.1Kimi 2.7 Code
One chat reply3,000 tokens in, 500 outKimi 2.7 Code costs 1.2× as much as Grok Build 0.1$0.004$0.0049
Summarise a 100-page report50,000 tokens in, 1,500 out, one requestWithin 5%$0.05$0.05
1,000 classification calls500 tokens in, 20 out, per call$0.54$0.56
Coding-agent session2M tokens in across ~60 turns, 60,000 out, no cache$2.12$2.14
Same session, cached85% of input read from the prompt cache, the rest written to itKimi 2.7 Code costs 1.1× as much as Grok Build 0.1$0.76$0.85

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

Grok Build 0.1 pricing notes

  • Rates double once a request reaches 200K input tokens ($2 / $4, cached $0.40) and apply to the whole request; the listed price is the sub-200K rate.

Kimi 2.7 Code pricing notes

  • Cache hits bill at $0.19 per 1M input tokens; cache writes bill at the normal input rate, with no surcharge.

When to pick which

Grok Build 0.1

xAI's coding model for agentic coding and tool calling, and the model that powers Grok Build. It bills half Grok 4.7's input rate and a third of its output rate, on a 256K window instead of 500K.

Pick it if

  • you run agentic coding, debugging or tool-calling loops on a budget
  • you want xAI coding at a third of Grok 4.7's output rate
  • your prompts repeat, so cached input bills at a fifth of input

Skip it if

  • you need more than 256K tokens of context; Grok 4.7 offers 500K

Kimi 2.7 Code

Moonshot AI's coding-focused Kimi model, built on Kimi K2.6 with the same architecture and the same price. An open-weights 1T-parameter MoE (32B active) that always reasons; Moonshot says it uses about 30% fewer thinking tokens than K2.6.

Pick it if

  • you want Moonshot's coding model at the same rate as Kimi 2.6
  • you run long agentic coding sessions over a 256K context
  • you need open weights you could later self-host

Skip it if

  • you want general writing or analysis; Moonshot points those at K2.6
  • you need replies without a thinking pass; reasoning cannot be disabled

FAQ

Which is cheaper, Grok Build 0.1 or Kimi 2.7 Code?

Kimi 2.7 Code lists the lower input price, while Grok Build 0.1 lists the lower output price. On a coding-agent session (2M tokens in, 60,000 out) Grok Build 0.1 costs $2.12 and Kimi 2.7 Code $2.14.

Can I switch between Grok Build 0.1 and Kimi 2.7 Code mid-task?

Yes. In an Octomind session, /model octohub:grok-build-0.1 and /model octohub:kimi-2.7-code 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.

Open the panel All models

Prices from the catalog of 2026-10-31