Model Comparison 2026

Kimi K2.7 Code vs Mistral Large 3

Kimi K2.7 Code
Moonshot AI · Balanced · Open weights
$1.35/1M · 262K ctx
Mistral Large 3
Mistral · Balanced · Open weights
$0.80/1M · 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
Mistral Large 3
Maker
Moonshot AI
Mistral
Blended price / 1M
$1.35
$0.80
Input / output
$0.61 in · $3.07 out / 1M tokens
$0.50 in · $1.50 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
7.8
Speed
7.8
8.0
Value for $
9.2
8.9
Reliability
8.9
8.6

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

Verdict: Kimi K2.7 Code or Mistral Large 3?

Updated 2026-06-22

Choose Kimi K2.7 Code if you want cheap, capable open-weight coding agents. Choose Mistral Large 3 if you want general-purpose open-weight agent work, especially in the EU.

In our editorial scoring, Kimi K2.7 Code leads in 4 of five dimensions (output quality, agentic ability, value for $ and reliability), while Mistral Large 3 leads in 1. On price, Kimi K2.7 Code runs about $1.35 per 1M tokens (blended) and is open-weight; Mistral Large 3 is about $0.80 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 Mistral Large 3 falls short
  • Below the very top models
  • Less agent-community momentum than GLM/Qwen
Full Mistral Large 3 breakdown →

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