Model Comparison 2026

DeepSeek V3.2 vs MiniMax M2.1

DeepSeek V3.2
DeepSeek · Balanced · Open weights
$0.26/1M · 131K ctx
MiniMax M2.1
MiniMax · Balanced · Open weights
$0.49/1M · 205K 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 M2.1
Maker
DeepSeek
MiniMax
Blended price / 1M
$0.26
$0.49
Input / output
$0.23 in · $0.34 out / 1M tokens
$0.29 in · $0.95 out / 1M tokens
Context window
131K
205K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.6
7.8
Agentic Ability
7.4
8.1
Speed
7.8
8.0
Value for $
9.4
9.5
Reliability
8.6
8.3

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

Verdict: DeepSeek V3.2 or MiniMax M2.1?

Updated 2026-06-22

Choose DeepSeek V3.2 if you want dependable open-weight output on a tight budget. Choose MiniMax M2.1 if you want tool-heavy personal and autonomous agents on a budget.

In our editorial scoring, MiniMax M2.1 leads in 4 of five dimensions (output quality, agentic ability, speed and value for $), 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 M2.1 is about $0.49 and open-weight.

Where DeepSeek V3.2 falls short
  • Shorter 128K context
  • Superseded by V4 on quality
Full DeepSeek V3.2 breakdown →
Where MiniMax M2.1 falls short
  • Shorter context than M3
  • Behind frontier on quality
Full MiniMax M2.1 breakdown →

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