Standard Compute
Model comparison 2026

Gemini 3.8 Flash vs Kimi K2.7 Code

Gemini 3.8 Flash
Google · Balanced · Proprietary
$1.65/1M · 1.0M ctx
Kimi K2.7 Code
Moonshot AI · Balanced · Open weights
$1.48/1M · 262K 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
Gemini 3.8 Flash
Kimi K2.7 Code
Maker
Google
Moonshot AI
Blended price / 1M
$1.65
$1.48
Input / output
$0.75 in · $3.75 out / 1M tokens
$0.67 in · $3.35 out / 1M tokens
Context window
1.0M
262K
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.1
8.6
Agentic Ability
8.9
9.2
Speed
9.2
7.8
Value for money
8.8
9.2
Reliability
8.9
8.9

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

Verdict: Gemini 3.8 Flash or Kimi K2.7 Code?

Updated 2026-10-13

Choose Gemini 3.8 Flash if you want high-throughput agents and Gemini CLI users who want speed and big context. 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, Gemini 3.8 Flash runs about $1.65 per 1M tokens (blended) and is proprietary; Kimi K2.7 Code is about $1.48 and open-weight.

Where Gemini 3.8 Flash falls short
  • Price doubles to $1.50/$7.50 on January 1, 2027
  • Weak on long terminal tasks (19.1% on Terminal-Bench 4.0)
Full Gemini 3.8 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 →

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