Standard Compute
Model Comparison 2026

GPT-5.6 Terra vs MiniMax M2.1

GPT-5.6 Terra
OpenAI · Balanced · Proprietary
$3.13/1M · 1.1M ctx
MiniMax M2.1
MiniMax · Balanced · Open weights
$0.57/1M · 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
Terra
MiniMax M2.1
Maker
OpenAI
MiniMax
Blended price / 1M
$3.13
$0.57
Input / output
$1.25 in · $7.50 out / 1M tokens
$0.30 in · $1.20 out / 1M tokens
Context window
1.1M
205K
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.0
7.8
Agentic Ability
9.0
8.1
Speed
8.4
8.0
Value for $
8.8
9.5
Reliability
9.2
8.3

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

Verdict: Terra or MiniMax M2.1?

Updated 2026-08-02

Choose GPT-5.6 Terra if you want the everyday OpenAI default for agents — volume work with frontier-adjacent quality. Choose MiniMax M2.1 if you want tool-heavy personal and autonomous agents on a budget.

In our editorial scoring, GPT-5.6 Terra leads in 4 of five dimensions (output quality, agentic ability, speed and reliability), while MiniMax M2.1 leads in 1. On price, GPT-5.6 Terra runs about $3.13 per 1M tokens (blended) and is proprietary; MiniMax M2.1 is about $0.57 and open-weight.

Where Terra falls short
  • Steps behind Sol on the hardest tasks
  • Very new — long-run agent behavior still being characterized
Full Terra breakdown →
Where MiniMax M2.1 falls short
  • Shorter context than M3
  • Behind frontier on quality
Full MiniMax M2.1 breakdown →

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