Model Comparison 2026

Kimi K2.7 Code vs Qwen3 235B A22B

Kimi K2.7 Code
Moonshot AI · Balanced · Open weights
$1.35/1M · 262K ctx
Qwen3 235B A22B
Alibaba (Qwen) · Budget · Open weights
$0.09/1M · 262K ctx

Community Vote

Pick a winner in each dimension — change your vote anytime.

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 $
How much capability you get per dollar
Reliability
Consistent results — fewer refusals, loops, and format breaks

Specs & Pricing, Side by Side

Spec
Kimi K2.7 Code
Qwen3 235B
Maker
Moonshot AI
Alibaba (Qwen)
Blended price / 1M
$1.35
$0.09
Input / output
$0.61 in · $3.07 out / 1M tokens
$0.09 in · $0.10 out / 1M tokens
Context window
262K
262K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
No
Output Quality
8.6
8.0
Agentic Ability
9.2
8.0
Speed
7.8
8.2
Value for $
9.2
10.0
Reliability
8.9
8.8

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

Verdict: Kimi K2.7 Code or Qwen3 235B?

Updated 2026-06-22

Choose Kimi K2.7 Code if you want cheap, capable open-weight coding agents. Choose Qwen3 235B A22B if you want self-hosted or ultra-cheap open-weight agents.

In our editorial scoring, Kimi K2.7 Code leads in 3 of five dimensions (output quality, agentic ability and reliability), while Qwen3 235B A22B leads in 2. On price, Kimi K2.7 Code runs about $1.35 per 1M tokens (blended) and is open-weight; Qwen3 235B A22B is about $0.09 and open-weight.

Where Kimi K2.7 Code falls short
  • Below the very top models on hard reasoning
  • Throughput varies by host
Full Kimi K2.7 Code breakdown →
Where Qwen3 235B falls short
  • Behind frontier models on quality
  • Needs real GPUs to self-host well
Full Qwen3 235B breakdown →

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