The AI model landscape changed overnight on June 12, 2026, when the United States government ordered Anthropic to suspend Claude Fable 5 — the most capable model ever independently tested. With an Artificial Analysis Intelligence Index score of 60, the highest ever recorded, Fable 5’s abrupt removal leaves a vacuum at the top. Developers who were already integrating it into production workflows were forced to scramble. Three days after launch, it was gone.
This is the definitive ranking of every major model as of June 19, 2026. We rate each model across reasoning, context, coding ability, and price-to-value — and tell you exactly where your subscription budget is best spent.
The Fable 5 Vacuum
Fable 5, alongside its unrestricted sibling Mythos 5, represented a genuine leap in AI capability. At score 60 on the Artificial Analysis Intelligence Index v4.1 — incorporating nine evaluations including Terminal-Bench v2.1, Humanity’s Last Exam, GPQA Diamond, and long-context recall — it outperformed everything else by four points. The shutdown caught the industry flat-footed. Anthropic disputes the severity of the alleged jailbreak that triggered the export control directive, but both models remain offline with no resolution timeline.
The practical effect is a compressed top tier: models scoring in the mid-50s now share the crown.
The Tier System
The tiers below reflect models that are actually available, deployable, and worth paying for as of this week.
S-Tier — The Best You Can Actually Use
Claude Opus 4.8 (Score: 56) — Anthropic’s flagship leads the pack. With 200K context, best-in-class instruction following, and Claude Code integration, Opus 4.8 excels at complex analysis, structured writing, and software engineering. It is expensive — roughly $3.25 per AA task — and even the Claude Max plan ($100–200/mo) carries limits. But for tasks demanding maximum intelligence, this is the available gold standard.
GPT-5.5 Pro “Spud” (Score: 55) — Released April 23, 2026, it is OpenAI’s strongest offering and the best pure reasoning model available: 82.7% on Terminal-Bench 2.0, an industry-leading 71.4% pass rate on AISI cyber tasks, and 51.7% on FrontierMath Tier 1–3. Included in ChatGPT Plus ($20/mo) and Pro ($200/mo). The API runs ~$2.78 per AA task, but for hard math, science, and multi-step reasoning, nothing beats it.
A-Tier — The Developer Sweet Spot
Claude Sonnet 4.6 (Score: ~51) — Released February 17, 2026, Sonnet 4.6 is the best value-for-capability model on the market. It delivers ~90% of Opus 4.8’s quality at 30% of the API cost ($1.50 per AA task). The 200K context, Claude Code agentic CLI, computer use, and artifacts make it the best daily driver for development work. Available on the $20/mo Claude Pro plan.
GLM-5.2 (Score: 51.09) — The watershed moment for open-source AI. Developed by Zhipu AI, GLM-5.2 is a 753B-parameter MoE model (40B active) released under a fully permissive MIT license with a 1M-token context window. It beats GPT-5.5 Pro on multiple long-horizon coding benchmarks — SWE-bench Pro (62.1 vs. 58.6), FrontierSWE Dominance (74.4 vs. 72.6), and AIME 2026 (99.2 vs. 98.3) — at roughly one-sixth the cost (~$0.46 per AA task vs. $2.78). Available via Fireworks, DeepInfra, Together, Groq, and self-hosting. For any developer conscious of subscription costs, GLM-5.2 is the most important model release of 2026.
B-Tier — Capable and Cost-Effective
DeepSeek V4 Pro (Score: 44.27) — Open-weight, strong on reasoning, astonishingly cheap at $0.048 per AA task — the lowest cost of any model in this ranking. API pricing runs ~$0.28/M input and ~$1.10/M output. It trails GLM-5.2 on agentic and long-horizon tasks, but for budget-constrained production deployments, it is the efficiency champion.
MiniMax M3 (Score: 44.44) — A hair ahead of DeepSeek V4 Pro on the Intelligence Index. Similar open-weight positioning, comparable pricing. The differences are marginal; choose based on API availability in your region.
C-Tier — Budget Workhorses
GPT-5 (Score: ~44) — The model that launched in August 2025 is now effectively a budget option. Polished, widely available, and included in ChatGPT’s free tier. It is the best fallback model, but the capability gap between it and GPT-5.5 Pro is significant.
Gemini 3.5 Flash (Score: ~40) — Google’s budget-tier model offers unique value for its rumored massive context window (up to 1M tokens). It is very cheap on API (~$0.25–0.75/M blended). Good for document analysis and high-volume classification. Poor at complex reasoning compared to A-tier alternatives.
Claude Haiku 4.5 (Score: ~42) — Fast, cheap ($1–1.50/M blended API), available on the free Claude tier. Suitable for simple codegen, linting, and classification — not a model you build a product on.
Pricing at a Glance
| Subscription | Price | Best Model Included |
|---|---|---|
| ChatGPT Plus | $20/mo | GPT-5.5 (standard) |
| Claude Pro | $20/mo | Sonnet 4.6, Opus 4.8 (limited) |
| Gemini Advanced | ~$20/mo | Gemini 3.5 Pro / Flash |
| Claude Max | ~$100–200/mo | Opus 4.8 (unlimited) |
| ChatGPT Pro | $200/mo | GPT-5.5 Pro (unlimited) |
On API pricing, the spread is enormous. Running a task on the Artificial Analysis benchmark suite costs $3.25 on Opus 4.8, $2.78 on GPT-5.5 Pro, $1.50 on Sonnet 4.6, $0.46 on GLM-5.2, and just $0.048 on DeepSeek V4 Pro. The gap between premium and budget has never been wider.
Use-Case Recommendations
- General coding & daily development: Claude Sonnet 4.6 (A-tier quality at B-tier pricing, plus Claude Code).
- Complex reasoning / math / science: GPT-5.5 Pro (highest FrontierMath and AIME scores available).
- Cost-sensitive production: GLM-5.2 if you need quality near the frontier; DeepSeek V4 Pro if you need absolute lowest cost per task.
- Agentic / multi-step workflows: Claude Opus 4.8 via Claude Code for maximum reliability; NeMoTron 3 Ultra (NVIDIA, 550B) for the best open-agentic alternative.
- Long-context / large-codebase analysis: GLM-5.2 (1M context, MIT license) or Gemini 3.5 Pro (12M rumored, once released).
- Open-source / self-hosted priority: GLM-5.2 is the unambiguous leader — MIT license, beats GPT-5.5 on coding, 1M context.
The Dual-Subscription Strategy
The optimal setup for most developers in June 2026 costs $40 per month total.
Claude Pro ($20/mo) + ChatGPT Plus ($20/mo). Claude Sonnet 4.6 handles your daily coding, agentic workflows, code review, and long-context analysis. GPT-5.5 is there for hard reasoning problems, math, research, and writing polish. Between the two, you cover virtually every use case.
For budget-conscious developers, substitute the ChatGPT Plus subscription with GLM-5.2 (free self-hosted or ~$0.46/task via API). You lose some reasoning depth but gain an MIT-licensed model you can deploy anywhere without restrictions.
For power users who hit Sonnet limits regularly, upgrade Claude Pro to Claude Max ($100–200/mo) for unlimited Opus 4.8 access, and keep ChatGPT Pro ($200/mo) for unlimited GPT-5.5 Pro reasoning. This is the researcher’s stack — expensive, but unmatched capability.
The Bottom Line
Fable 5’s suspension reshuffled the deck, but the practical answer for most developers is refreshingly simple. Claude Sonnet 4.6 is your daily driver for coding and agents. GPT-5.5 is your heavy lifter for reasoning and research. GLM-5.2 is the open-source future — astonishingly capable, permissively licensed, and fraction of the cost. And DeepSeek V4 Pro is there when every cent counts.
Everything else is redundant, niche, or not yet released. Spend your $40 wisely.