Model Comparison 2026

DeepSeek V3.2 vs MiniMax M3

DeepSeek V3.2
DeepSeek · Balanced · Open weights
$0.26/1M · 131K ctx
MiniMax M3
MiniMax · Balanced · Open weights
$0.57/1M · 1.0M 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 V3.2
MiniMax M3
Maker
DeepSeek
MiniMax
Blended price / 1M
$0.26
$0.57
Input / output
$0.23 in · $0.34 out / 1M tokens
$0.30 in · $1.20 out / 1M tokens
Context window
131K
1.0M
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.6
8.4
Agentic Ability
7.4
8.7
Speed
7.8
7.8
Value for $
9.4
9.1
Reliability
8.6
8.6

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

Verdict: DeepSeek V3.2 or MiniMax M3?

Updated 2026-06-22

Choose DeepSeek V3.2 if you want dependable open-weight output on a tight budget. Choose MiniMax M3 if you want open-weight autonomous agents that lean on tool use.

In our editorial scoring, MiniMax M3 leads in 2 of five dimensions (output quality and agentic ability), while DeepSeek V3.2 leads in 1. On price, DeepSeek V3.2 runs about $0.26 per 1M tokens (blended) and is open-weight; MiniMax M3 is about $0.57 and open-weight.

Where DeepSeek V3.2 falls short
  • Shorter 128K context
  • Superseded by V4 on quality
Full DeepSeek V3.2 breakdown →
Where MiniMax M3 falls short
  • Below frontier on raw quality
  • Newer, less battle-tested than V3.2/GLM
Full MiniMax M3 breakdown →

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