Model comparison 2026

Kimi K2.7 Code vs Step 5 Preview

Kimi K2.7 Code
Moonshot AI · Balanced · Open weights
$1.48/1M · 262K ctx
Step 5 Preview
StepFun · Balanced · Proprietary
$1.51/1M · 1M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
Kimi K2.7 Code
Step 5
Maker
Moonshot AI
StepFun
Blended price / 1M
$1.48
$1.51
Input / output
$0.67 in · $3.35 out / 1M tokens
$1.00 in · $2.70 out / 1M tokens
Context window
262K
1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
5.8
8.2
Agentic Ability
4.7
7.6
Speed
7.1
7.5
Value for money
5.5
7.1
Reliability
8.4
8.6

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: Kimi K2.7 Code or Step 5?

Updated 2026-10-13

Choose Kimi K2.7 Code if you want coding agents that need an open-weight model with a coding-specific tune. Choose Step 5 Preview if you want mid-priced agent loops that want more capability than a Flash-class model.

In our editorial scoring, Step 5 Preview leads in 5 of five dimensions (output quality, agentic ability, speed, value for money and reliability), while Kimi K2.7 Code leads in 0. On price, Kimi K2.7 Code runs about $1.48 per 1M tokens (blended) and is open-weight; Step 5 Preview is about $1.51 and proprietary.

Where Kimi K2.7 Code falls short
  • Weak on long agentic tasks (1.0% in Artificial Analysis's Terminal-Bench 4.0 run)
  • 262K context, smaller than 11.7% of the coding-agent requests we measured
Full Kimi K2.7 Code breakdown →
Where Step 5 falls short
  • Still a preview, so behavior and price can change
  • Only StepFun serves it on OpenRouter, so there is no provider fallback
Full Step 5 breakdown →

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