AI Model Tier Lists & Comparisons

Overview

Choosing the right AI model for your workflow can be overwhelming. This guide synthesizes insights from multiple tier list videos and real-world benchmarks to help you make informed decisions based on your specific needs, budget, and use cases.

Model Roles: Understanding the Framework

AI models for agentic workflows fall into three primary roles:

Model Roles

🧠 Orchestrator (The Brain)

Purpose: Planning, reasoning, problem-solving, critical thinking
Best Models: GPT-5.4, Qwen 3.6 Plus, Kimi 2.5, Gemini 3.1 Pro
When to Use: System design, architecture decisions, complex planning
Cost: Higher ($50-200+/month)

⚙️ Executor (The Hands)

Purpose: Coding, debugging, implementing pre-defined plans
Best Models: Minimax M2.7, GLM 5.1, MiMo V2 Pro, Nemotron 3 Super
When to Use: Implementation, refactoring, code generation
Cost: Lower ($10-72/month)

🔧 Auxiliary (Support)

Purpose: Specialized tasks, niche use cases
Best Models: Gemini 3 Flash, Step 3.5 Flash, Trinity Large
When to Use: Web search, image analysis, specific tool integrations
Cost: Lowest (often free or included)

Current Model Rankings (April 2025)

AI Model Tier List

Tier S: Best Overall

GPT-5.4

Role: Orchestrator
Performance: 63-75% success rate
Cost: ~$50-75/month
Strengths: Reliable, consistent, native agentic design
Weaknesses: Not the absolute smartest, but most dependable
Best For: Production workflows, general-purpose coding
Status: ✅ Current king after Claude's regression

Tier A: Strong Performers

Qwen 3.6 Plus

Role: Orchestrator
Performance: High reasoning capability
Cost: Moderate
Strengths: Always-on reasoning, preserved thinking across turns
Weaknesses: Less tested than GPT-5.4
Best For: Long-horizon tasks requiring consistent decision-making
Unique Feature: Maintains chain-of-thought across entire sessions

DeepSeek GLM 5.1

Role: Executor
Performance: 75%+ on coding tasks
Cost: $30-72/month (recently doubled)
Strengths: Excellent coding, thinks inside tool calls
Weaknesses: Slower response times
Best For: Coding, game development, cron job optimization
Unique Feature: Self-corrects mid-execution based on tool results

Kimi 2.5

Role: Orchestrator/Executor hybrid
Performance: Strong across multiple domains
Cost: Moderate
Strengths: Native image input, swarm agents (100+ sub-agents)
Weaknesses: Swarm coordination requires skill
Best For: Frontend/UI generation, research workflows
Unique Feature: Can coordinate 1,500 tool calls without predefined workflow

Tier B: Solid Budget Options

Minimax M2.7

Role: Executor
Performance: 60-70% quality
Cost: $10-20/month
Strengths: Extremely affordable, trained on OpenClaw
Weaknesses: Poor planning, context degradation >120k tokens
Best For: Budget users, clear execution tasks
Status: ✅ Best value for money

MiMo V2 Pro (Xiaomi)

Role: Executor
Performance: High-volume king
Cost: FREE (currently via News Portal)
Strengths: Document processing, agentic workflows, official Hermes partnership
Weaknesses: Free period will end
Best For: Testing, high-volume tasks, learning
Status: ✅ Try it now while free

Gemini 3.1 Pro

Role: Orchestrator
Performance: Strong multimodal
Cost: Moderate
Strengths: Video/audio input, visual dashboards
Weaknesses: Not as smart as GPT-5.4
Best For: Multimodal tasks, screen recording analysis
Unique Feature: Native video and audio processing

Tier C: Specialized/Auxiliary

Gemini 3 Flash

Role: Auxiliary
Performance: Good for specific tasks
Cost: Low/Free
Strengths: Built-in Google Search, URL context reading
Weaknesses: Not suitable as primary model
Best For: Web search, browsing without separate tools
Status: Default auxiliary in Hermes Agent

Step 3.5 Flash

Role: Executor
Performance: Decent for RL workflows
Cost: Free (open-source)
Strengths: Reinforcement learning integration
Weaknesses: Limited general-purpose use
Best For: Self-improvement workflows, RL environments

Nemotron 3 Super

Role: Executor
Performance: Strong for coding agents
Cost: Free (open-weight)
Strengths: Self-hosted, privacy-focused, 128K context
Weaknesses: Requires technical setup
Best For: Pro developers, privacy-critical workflows

Tier D: Currently Not Recommended

Claude Opus 4.6/4.7

Role: Orchestrator (historically)
Performance: 40-51% success rate (severe regression)
Cost: $200+/month (1.3x more than 4.6)
Strengths: Historical excellence, brand recognition
Weaknesses: Ignores instructions, deletes files, inconsistent
Status: ⚠️ Avoid until Anthropic fixes regression
Alternative: Wait for Mythos or use GPT-5.4

WildClaw Benchmark Results

The WildClaw benchmark tests real-world OpenClaw use cases in Dockerized containers:

Model	Success Rate	Cost per Suite	Speed
Claude Opus 4.7	51%	$80	500 min
GPT-5.4	~65%	$20	500 min
MiMo V2 Pro	~55%	$26	500 min
Minimax M2.7	~45%	$8	500 min
Grok	~40%	$15	94 min ⚡

Note: These benchmarks may become less reliable as companies optimize specifically for them.

Cost vs Performance Analysis

Budget Tiers

Free Tier ($0/month)

MiMo V2 Pro: Currently free via News Portal
Gemini 3 Flash: Free auxiliary model
Best For: Learning, testing, non-critical projects

Budget Tier ($10-30/month)

Minimax M2.7: $10-20/month
DeepSeek GLM 5.1: $30/month (if you catch old pricing)
Best For: Personal projects, cost-conscious developers

Professional Tier ($50-100/month)

GPT-5.4: ~$50-75/month
DeepSeek GLM 5.1: $72/month (current pricing)
Best For: Professional developers, production workflows

Enterprise Tier ($200+/month)

Claude Opus: $200+/month (not recommended currently)
Claude Mythos: TBA (enterprise only)
Best For: Large organizations with specific needs

ROI Calculation

Example: Daily Agent Usage

Model	Daily Cost	Monthly Cost	Success Rate	Effective Cost per Success
Minimax M2.7	$0.67	$20	65%	$30.77
GPT-5.4	$2.50	$75	70%	$107.14
Claude Opus	$45	$1,350	45%	$3,000

Insight: Minimax offers best cost-per-success for budget users, GPT-5.4 best for reliability.

Model Selection Decision Tree

Start Here: What's Your Priority?

Priority: Reliability & Production Use

→ GPT-5.4

Consistent results
Good documentation
Active community support

Priority: Budget (<$30/month)

→ Minimax M2.7 or MiMo V2 Pro (free)

Accept lower success rate
Run prompts multiple times
Good for learning

Priority: Coding Excellence

→ DeepSeek GLM 5.1

Best coding performance
Self-correction capabilities
Worth the $72/month for developers

Priority: Multimodal Tasks

→ Gemini 3.1 Pro or Kimi 2.5

Image/video input
Screen analysis
UI generation

Priority: Privacy & Self-Hosting

→ Nemotron 3 Super or Step 3.5 Flash

Open-weight models
No API calls
Full control

Hot-Swapping Strategy

Optimal Multi-Model Workflow

Many users achieve best results by using multiple models for different roles:

# Example Hermes Agent workflow
/model gpt-5.4          # Planning phase
/model minimax-m2.7     # Implementation phase
/model gemini-3-flash   # Web research phase

Recommended Combinations

Budget Combo ($20/month)

Orchestrator: MiMo V2 Pro (free)
Executor: Minimax M2.7 ($20)
Auxiliary: Gemini 3 Flash (free)

Balanced Combo ($75/month)

Orchestrator: GPT-5.4 ($75)
Executor: Minimax M2.7 ($20) or GPT-5.4
Auxiliary: Gemini 3 Flash (free)

Premium Combo ($150/month)

Orchestrator: GPT-5.4 ($75)
Executor: DeepSeek GLM 5.1 ($72)
Auxiliary: Gemini 3 Flash (free)

Platform-Specific Recommendations

For Hermes Agent Users

Best Models (in order):

MiMo V2 Pro - Official partnership, free, high-volume
GPT-5.4 - Most reliable orchestrator
Minimax M2.7 - Official partnership, budget-friendly
Qwen 3.6 Plus - Preserved thinking for long tasks

Avoid: Claude Opus (current regression)

For OpenClaw Users