Standard Compute
Model comparison 2026

Kimi K2.7 Code vs Mistral Large 4

Kimi K2.7 Code
Moonshot AI · Balanced · Open weights
$1.48/1M · 262K ctx
Mistral Large 4
Mistral · Balanced · Open weights
$1.10/1M · 1.0M 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
Mistral Large 4
Maker
Moonshot AI
Mistral
Blended price / 1M
$1.48
$1.10
Input / output
$0.67 in · $3.35 out / 1M tokens
$0.68 in · $2.09 out / 1M tokens
Context window
262K
1.0M
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
5.8
7.6
Agentic Ability
4.7
7.1
Speed
7.1
7.0
Value for money
5.5
5.9
Reliability
8.4
8.8

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

Verdict: Kimi K2.7 Code or Mistral Large 4?

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 Mistral Large 4 if you want open-weight, EU-provenance agent work that needs long context and image input.

In our editorial scoring, Mistral Large 4 leads in 4 of five dimensions (output quality, agentic ability, value for money and reliability), while Kimi K2.7 Code leads in 1. On price, Kimi K2.7 Code runs about $1.48 per 1M tokens (blended) and is open-weight; Mistral Large 4 is about $1.10 and open-weight.

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 Mistral Large 4 falls short
  • Still a public preview, so behavior and price can change
  • 26.8% in Artificial Analysis's Terminal-Bench 4.0 run, well below the frontier models
Full Mistral Large 4 breakdown →

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