Your Value, Fast
- Start with two high-impact models
- Cut noise with direct trade-offs
- Ship a benchmark this week
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LLMS List
Pick the right LLM in minutes with clear model picks and a fast test plan.
Test These First Right Now
Claude Fable 5 Gemma 4 June 2026
Latest Model Radar
Claude Fable 5
New frontier — vision, memory, autonomy
Claude Mythos 5
Fable 5 for authorized researchers
GPT-5.5-Pro
Highest-intelligence reasoning
Gemma 4
Open-weight E2B to 31B tiers
Top Recommendation: Start With These Two
If you only test two models this week: Claude Fable 5 for frontier agentic quality with state-of-the-art vision, and Gemma 4 for cost-controlled private deployment.
Claude Fable 5
Best for complex reasoning, agentic coding, vision tasks, and autonomous long-running workflows with persistent memory.
Gemma 4
Best for open-weight flexibility, predictable spend, and self-hosted or hybrid deployment (E2B to 31B).
June 2026 Snapshot
What Winning Teams Prioritize
2
primary models to benchmark first
Claude Fable 5 + Gemma 4 first.
3
decision factors that dominate outcomes
Quality, cost, control.
7
days to run a serious evaluation cycle
Ship a real benchmark in one week.
Executive Summaries
Choose Your Testing Track
01
Frontier Track
Claude Fable 5 or GPT-5.5-Pro for top-end quality on the hardest agentic, vision, and reasoning tasks.
See deployment recommendations02
Open-Weight Track
Gemma 4 for control and cost, Qwen3.5 for multilingual reasoning quality.
Compare against other reasoning models03
Hybrid Track
Use frontier for complex flows and Gemma 4/GPT-5.4 mini for volume.
Explore full model catalogVisual Strategy Guide
How Teams Actually Deploy Models
Model Routing Flow
User Prompt
Task Router
Fast Lane
Gemma 4 / GPT-5.4 mini
Reasoning Lane
Claude Fable 5 / GPT-5.5-Pro
Production Output
Strategy Usage by Workload
Support Automation
Technical Analysis
Product Assistants
Quick Picks: Newest Models to Start With
June updates: Claude Fable 5 and Mythos 5 (June 9) are Anthropic's new frontier with state-of-the-art vision and autonomous long-running tasks. GPT-5.5-Pro for hardest reasoning, GPT-5.4 mini for efficient coding, Gemini 3.5 Flash stable, and Gemma 4 spans E2B to 31B.
Best Overall (Quality-First)
Claude Fable 5 or GPT-5.5-Pro for top-end quality, vision, and complex reasoning.
Best Fast/Low Cost Pair
Use Gemini 3.5 Flash, GPT-5.4 mini, or Claude Haiku 4.5 for high-volume, low-cost tasks.
Best Open-Weight Track
Start with Gemma 4 31B and Qwen3.5-35B-A3B, then test Llama 4 Maverick or DeepSeek V4 for your edge cases.
Best for Coding Teams
Pair Claude Fable 5 with GPT-5.4 mini or Devstral 2 for speed and cost balance.
What You Will Find Here
Honest Model Breakdowns
Plain-English strengths and weaknesses across major model families.
System-Size Recommendations
Clear architecture picks for solo projects, SaaS, and enterprise.
Decision Frameworks
Fast comparison for reasoning, coding, cost, latency, and control.
Most Popular LLM Families
OpenAI GPT Series
Strong default quality and tooling, typically at premium pricing.
Anthropic Claude Series
Excellent long-context writing for documentation and policy work.
Google Gemini Series
Strong multimodal performance and tight Google cloud integration.
Llama, Mistral, Qwen, DeepSeek
Popular open/open-weight options for self-hosting and cost control.
Recent Industry Developments (June 2026)
Claude Fable 5 and Mythos 5 Launch
Anthropic's June 9 release brings state-of-the-art vision, autonomous long-running tasks with millions of tokens, and persistent file-based memory. Mythos 5 is the same model with safeguards lifted for authorized cybersecurity and biomedical researchers. Both at $10/$50 per MTok.
OpenAI Expands GPT-5.x Lineup
GPT-5.5-Pro for hardest problems, GPT-5.4 mini (400K context) for efficient coding and computer use. Reasoning built directly into the model family.
Gemini 3.5 Flash Goes Stable
Google's fastest agentic model now production-ready; Gemini 3.1 Pro enters preview for advanced enterprise tasks.
Open Models Scale Up
DeepSeek V4-Pro (862B), Gemma 4 31B, and Qwen3.5 series expand what's possible with private deployment at near-frontier quality.
Start Here
Fast default: one top closed model for quality plus one low-cost model for volume.
Read the full guidance on Enterprise Systems, and Model Recommendations.