MiniMax M2 is good. These would like a word anyway.
MiniMax M2: 10B activated parameters for coding agents, compile-run-fix loops and long-horizon reasoning. Good SWE-Bench and Terminal-Bench results, and it holds reasoning continuity across multi-step tasks.
No free endpoint for MiniMax M2 was found in Rival’s OpenRouter listings. Other providers or chat apps may have separate free offers.
Provider data: OpenRouter usage limits
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"minimax/minimax-m2" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
Also on Azure AI Foundry
The consultant who hands you a 40-page report when you asked for a summary. Methodical, exhaustive, will build you a markdown table for anything.
Returns empty strings for content it doesn't like, silent refusals with no explanation. But give it a prediction task and it'll build a 10-section report with budget allocation tables.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
35 outputs · generated before accounting joined the chat
Reviewing agent-written code?See a Brief PR report