MiniMax-M2.7 vs o1
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
MiniMax-M2.7 by MiniMax wins on 6 of 6 benchmarks against o1 by OpenAI, which leads on 0. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from our benchmark data.
Category-by-Category Breakdown
Coding: In coding, MiniMax-M2.7 scores 52.6 on AA Coding Index compared to o1's 39.7.
Reasoning: In reasoning, MiniMax-M2.7 scores 84.3% on GPQA Diamond compared to o1's 77.3%.
Context: In context, MiniMax-M2.7 scores 205K on Context Length compared to o1's 200K.
Pricing Comparison
MiniMax-M2.7 costs $0.30/1M input tokens and $1.2/1M output tokens, while o1 costs $15.0/1M input and $60.0/1M output. MiniMax-M2.7 is the more affordable option for API usage.
Verdict
MiniMax-M2.7 leads across the board in affordability, making it the stronger overall choice in this comparison.
View Individual Model Pages
MiniMax-M2.7 vs o1 — FAQ
Which is better, MiniMax-M2.7 or o1?
MiniMax-M2.7 wins on more benchmarks overall (6 vs 0). However, the best choice depends on your specific needs — each model excels in different areas.
How does MiniMax-M2.7 compare to o1 for coding?
SWE-bench Verified data is not available for both models. Check the detailed comparison charts above for other coding-related metrics.
Is MiniMax-M2.7 cheaper than o1?
Yes, MiniMax-M2.7 is cheaper. MiniMax-M2.7 costs $0.30/1M input and $1.2/1M output tokens. o1 costs $15.0/1M input and $60.0/1M output tokens.
Which is faster, MiniMax-M2.7 or o1?
Output speed data is not available for both models. Check the speed section of the comparison above for available performance data.
What benchmarks does the MiniMax-M2.7 vs o1 comparison cover?
This comparison covers 6 benchmarks including GPQA Diamond, Input Cost, Output Cost, Context Length, AA Coding Index, Cached Input Cost. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.