Standard Compute
Model comparison 2026

GPT-6 Sol vs MiniMax M2.1

GPT-6 Sol
OpenAI · Balanced · Proprietary
$4.40/1M · 1.1M ctx
MiniMax M2.1
MiniMax · Balanced · Open weights
$0.57/1M · 205K 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
GPT-6 Sol
MiniMax M2.1
Maker
OpenAI
MiniMax
Blended price / 1M
$4.40
$0.57
Input / output
$2.00 in · $10 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
9.4
7.8
Agentic Ability
9.4
8.1
Speed
8.2
8.0
Value for money
8.6
9.5
Reliability
9.2
8.3

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

Verdict: GPT-6 Sol or MiniMax M2.1?

Updated 2026-10-13

Choose GPT-6 Sol if you want existing GPT-6 Sol setups and calls that need no-reasoning mode. Choose MiniMax M2.1 if you want tool-heavy personal and autonomous agents on a budget.

In our editorial scoring, GPT-6 Sol leads in 4 of five dimensions (output quality, agentic ability, speed and reliability), while MiniMax M2.1 leads in 1. On price, GPT-6 Sol runs about $4.40 per 1M tokens (blended) and is proprietary; MiniMax M2.1 is about $0.57 and open-weight.

Where GPT-6 Sol falls short
  • Superseded by GPT-6.1 Sol, which scores higher at the same price
  • Cached input costs $0.20 per million, twice GPT-6.1 Sol
Full GPT-6 Sol breakdown →
Where MiniMax M2.1 falls short
  • Shorter context than M3
  • Behind frontier on quality
Full MiniMax M2.1 breakdown →

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