February 20, 2026
MiniMax M2.5 vs Claude Opus 4.6: The $0.15 Model
MiniMax M2.5 scores 80.2% on SWE-Bench Verified—within 0.6% of Claude Opus 4.6—at roughly $0.15 per task vs $3.00.
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#1
Claude Opus 4.6
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The best overall. Agentic coding, 1M token context, adaptive thinking.
REASONING
CLOSED
SWE: 72%
MMLU: 89%
HE: 92%
GSM: 96.4%
Privacy: HIGH
100
#2
GPT-4.5
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Latest GPT-4 iteration. Strong across all benchmarks.
REASONING
CLOSED
MMLU: 88.7%
HE: 90%
GSM: 92%
Privacy: MEDIUM
98
#3
Gemini 2.5 Pro
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Best context window (2M tokens). Excellent multimodal.
RESEARCH
CLOSED
MMLU: 88%
HE: 88%
Privacy: MEDIUM
97
#4
MiniMax 2.5
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Surprise contender. Matches Claude on MMLU. Great pricing.
REASONING
CLOSED
MMLU: 89.7%
HE: 87%
GSM: 90%
Privacy: HIGH
96
#5
Claude Sonnet 4
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Best value Claude. Great for everyday use.
REASONING
CLOSED
SWE: 72%
MMLU: 88%
HE: 92%
Privacy: HIGH
95
+5 more on desktop
Categories Explained
Reasoning
Logic, problem-solving, and complex decision-making capabilities.
Math
Mathematical computation, symbolic manipulation, and quantitative analysis.
Research
Information synthesis, citation accuracy, and comprehensive analysis.
Learning
Adaptive behavior, continuous improvement, and knowledge retention.
Building Top-Tier AI Agents
What makes an AI agent rank well? It's not magic - it's engineering.
1. Clear Objectives
Top agents have well-defined goals and success metrics. Vague objectives produce vague results.
2. Robust Context Handling
The best agents maintain state, understand context windows, and know when they need more information.
3. Error Recovery
Shit breaks. Top agents gracefully handle failures and provide useful feedback when things go wrong.
4. Privacy & Data Handling
Responsible data practices aren't optional. Clear policies on what's stored, how, and for how long.
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