Ai-Model on AI Prompt Toolkit

Claude Fable 5 & Mythos 5 Master Prompts (June 2026)

Thu, 18 Jun 2026 00:00:00 +0000

Claude Fable 5 & Mythos 5 — Full Prompt Guide

Released June 9, 2026, Claude Fable 5 and Mythos 5 represent Anthropic’s first public Mythos-class models. They achieve state-of-the-art results across software engineering, knowledge work, vision, and scientific research.

Key Capabilities

Capability	Fable 5	Mythos 5
Pricing	~$10/M input	~$10/M input, $50/M output
Context Window	1M+ tokens	1M+ tokens
Extended Thinking	✅	✅ (deeper)
Vision	Native	Native
Best For	Coding, iteration	Research, architecture
vs Claude Opus 4.8	Beats on all benchmarks	Significantly ahead

Prompting Strategy

Structure is everything. Fable 5 rewards explicit output formats — specify sections, evidence requirements, and confidence levels.
Extended thinking is a superpower. Enable it for any task with more than 3 reasoning steps.
Vision is native, not bolted on. Include images directly for UI review, diagram analysis, and spatial reasoning.
Long context is transformative. At 100K+ tokens, both models maintain focus and cross-reference accuracy that degrades in other models.

When to Use Which Model

Fable 5: Daily coding, code review, writing, data analysis, quick research
Mythos 5: Architecture design, multi-paper research synthesis, complex debugging, security audits, scientific hypothesis generation

GLM-5.2 Master Prompts — Open Weights Frontier Model (June 2026)

Thu, 18 Jun 2026 00:00:00 +0000

GLM-5.2 — The Open Weights Coding Powerhouse

Released June 2026 by Z.AI, GLM-5.2 is the #1 ranked open-weights model on the Artificial Analysis Intelligence Index (score: 51). It’s a 753B parameter Mixture-of-Experts model with 40B active parameters per token, offering frontier performance under an MIT license.

Why GLM-5.2 Matters

Feature	GLM-5.2	GPT-5.5	Advantage
Coding Benchmarks	#1	#2-3	🏆 GLM-5.2
Price (per 1M tokens)	$1.40 / $4.40	$15 / $60	💰 4-10x cheaper
Speed (tok/s)	105	~80	⚡ 30% faster
Context Window	1M	128K	📚 8x larger
License	MIT	Proprietary	🔓 Total freedom
Self-Hosting	✅ Yes	❌ No	🏠 Private deployment

Prompting Strategy

Coding first. GLM-5.2’s strongest domain is programming. Structure coding prompts like competitive programming problems — clear spec, constraints, expected output format.
1M context is real. Upload entire codebases, book-length documents, or full log files for holistic analysis.
Structured output shines. GLM-5.2 produces excellent JSON when you define the schema upfront.
Chinese and English. Native bilingual support — no translation overhead for mixed-language tasks.

Self-Hosting Quick Start

# Via ollama
ollama pull glm5.2

# Via vLLM (production)
python -m vllm.entrypoints.openai.api_server \
  --model z-ai/glm-5.2 \
  --tensor-parallel-size 8

# Via Hugging Face
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("z-ai/glm-5.2")

Cost Comparison

For a 100K-token coding task (input) producing 10K tokens (output):

GPT-5.5 & GPT-5.5 Pro Master Prompts (June 2026)

Thu, 18 Jun 2026 00:00:00 +0000

GPT-5.5 & GPT-5.5 Pro — Complete Prompt Guide

OpenAI’s GPT-5.5 series represents a major leap in native multimodality, structured reasoning, and agentic capabilities. Available on the OpenAI API and Amazon Bedrock (as of June 2026).

Model Family

Model	Best For	Key Feature
GPT-5.5	General purpose, coding, writing	Balanced performance/cost
GPT-5.5 Pro	Research, architecture, critical apps	Deeper reasoning, lower hallucination
GPT-5.5 Instant	High-throughput, chat	Fastest, most affordable
GPT-5.5-Cyber	Enterprise security	Locked-down, private deployment

What’s New vs GPT-5

Native multimodality — images, audio, and speech are first-class inputs. No separate vision/audio models.
Reasoning effort control — dial reasoning depth per request (low/medium/high).
Structured output — json_schema response format guarantees valid JSON output.
Agents SDK — first-class agent orchestration with sandbox execution.
Amazon Bedrock GA — enterprise deployment with AWS integration.

Prompting Best Practices

Lead with output format. GPT-5.5 respects structure more than any previous OpenAI model — use it.
Reasoning for complex tasks. Set reasoning_effort=high for multi-step problems. The model will “think” before answering.
Multimodal by default. Don’t describe images — include them. GPT-5.5 processes them natively.
Function calling is production-grade. Define tools with JSON schemas and let the model chain them.
Structured output for pipelines. Use response_format: json_schema when the output feeds another system.

Claude-4 Master Prompts (Updated May 2026)

Fri, 01 May 2026 00:00:00 +0000

Claude-4 Prompt Guide

Optimized prompts for Claude-4. Updated May 2026.

Gemini-2.5 Master Prompts (Updated May 2026)

Fri, 01 May 2026 00:00:00 +0000

Gemini-2.5 Prompt Guide

Optimized prompts for Gemini-2.5. Updated May 2026.

Kling-2.0 Master Prompts (Updated May 2026)

Fri, 01 May 2026 00:00:00 +0000

Kling-2.0 Prompt Guide

Optimized prompts for Kling-2.0. Updated May 2026.