Arena.ai
@arena
MiniMax M2.7 is ranked #8 in Code Arena. It’s also the most cost-efficient of the top 10 at $0.30 / $1.20 per MToken. Congrats to the team at @MiniMax_AI 👏 https://t.co/jKUvcDSUMC
27retweets
View on XMiniMax M2.7 Enters Code Arena Top 10 as Most Cost-Efficient Model
Arena.ai· Updated
MiniMax M2.7 has entered Code Arena's Agentic WebDev leaderboard at a preliminary rank of #8 with a score of 1452, priced at $0.30/$1.20 per million tokens — the lowest cost in the top 10, over 16x cheaper than top-ranked models.
MiniMax M2.7, an agentic language model from MiniMax, holds a preliminary rank of #8 on Code Arena's Agentic WebDev leaderboard with a score of 1452. It's priced at $0.30 input / $1.20 output per million tokens with a 204.8K context window. By comparison, the top five models — all Anthropic Claude variants — range from $3 to $25 per million tokens.
That cost gap is significant. MiniMax M2.7 sits inside the top 10 at over 16x lower input cost than the Claude Opus models above it, while posting a score close to models ranked 5th through 7th. On SWE-Pro, M2.7 scores 56.22%, matching GPT-5.3-Codex, and on VIBE-Pro it scores 55.6% — near Opus 4.6 levels on repo-level code generation.
Evaluate M2.7 against your current model spend on agentic coding tasks — the leaderboard includes price and context window data across all ranked models.
Every HeadsUpAI update is written based on its original source and reviewed before it's published. Read our editorial standards →
