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$ diff gpt-6-sol minimax-m3

GPT-6 Sol vs MiniMax M3

Values come from GPT-6 Sol and MiniMax M3, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.

What actually differs

Context window
GPT-6 Sol takes 1.1M against 1M — modestly more room in a single request.
Input price
MiniMax M3 at $0.3/M against $2/M — 6.7× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
Output price
MiniMax M3 at $1.2/M against $10/M — 8.3× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
MiniMax M3 publishes weights (Open-weight (HuggingFace)); GPT-6 Sol is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
GPT-6 Sol shipped 113 days after MiniMax M3 (2026-09-22 vs 2026-06-01).

Full spec

AttributeGPT-6 SolMiniMax M3
DeveloperOpenAIMiniMax
Released2026-09-222026-06-01
Context window1.05M tokens1,000,000 tokens (1M); min. 512K guaranteed
Pricing$2/M input · $10/M output · cached input $0.20/M$0.30/M input · $1.20/M output ($0.06/M cached input) — OpenRouter catalogue, read 2026-07-28
Licenseproprietary (API-only; no weight release)Open-weight (HuggingFace)
AvailabilityChatGPT Work and Codex (Plus, Pro, Business, Enterprise, Edu); OpenAI API as `gpt-6-sol`. Not yet in ChatAPI (global, including English) + open-weight on HuggingFace

How these pages are produced

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