Model Comparison 2026

DeepSeek V4 Flash vs Kimi K2.7 Code

DeepSeek V4 Flash
DeepSeek · Budget · Open weights
$0.12/1M · 1.0M ctx
Kimi K2.7 Code
Moonshot AI · Balanced · Open weights
$1.35/1M · 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
DeepSeek V4 Flash
Kimi K2.7 Code
Maker
DeepSeek
Moonshot AI
Blended price / 1M
$0.12
$1.35
Input / output
$0.09 in · $0.18 out / 1M tokens
$0.61 in · $3.07 out / 1M tokens
Context window
1.0M
262K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.2
8.6
Agentic Ability
8.1
9.2
Speed
9.0
7.8
Value for $
10.0
9.2
Reliability
8.9
8.9

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

Verdict: DeepSeek V4 Flash or Kimi K2.7 Code?

Updated 2026-06-22

Choose DeepSeek V4 Flash if you want cheap, high-volume open-weight agent steps. Choose Kimi K2.7 Code if you want cheap, capable open-weight coding agents.

Editorially it's close: each model leads in 2 of our five dimensions. On price, DeepSeek V4 Flash runs about $0.12 per 1M tokens (blended) and is open-weight; Kimi K2.7 Code is about $1.35 and open-weight.

Where DeepSeek V4 Flash falls short
  • Not for the hardest tasks
  • Quality below V4 Pro
Full DeepSeek V4 Flash breakdown →
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 →

The model is half the story — the agent is the other half

The model picks the moves; the agent runs the loop, the tools, and the guardrails. Once you've chosen a model, see which agent gets the most out of it.

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