Claude Fable 5 and Mythos 5: Anthropic's 2026 Frontier Models — Full Review vs GPT-5.x and Gemini 3

Comparison ~10 min read

On June 9, 2026, Anthropic launched Claude Fable 5 and Mythos 5 — their most capable models to date, at roughly half the price of their predecessor. They lead the Artificial Analysis Intelligence Index at 64.9 — roughly 5 points ahead of GPT-5.5 — with 1M token context and state-of-the-art coding performance. But on June 12, the US government issued an export control directive suspending foreign national access to both models, creating the most significant geopolitical complication in the frontier AI API market to date.

TL;DR

Fable 5 ($10/$50 per MTok) leads the AA Intelligence Index at 64.9 — besting GPT-5.5 by 5 points. 1M context, 128K output, #1 on FrontierCode and CursorBench. But the June 12 US export control suspension blocks foreign national access. For US teams: best-in-class for coding, writing, and research. For international teams: Opus 4.8 or GPT-5.5 for now. For China-direct access: an aggregator like FreeModel provides multi-provider routing without proxy.

What's New: Fable 5 and Mythos 5

Claude Fable 5 and Mythos 5 represent Anthropic's most capable models to date — at roughly half the price of their predecessor (Claude Mythos Preview). The pair is identical under the hood, with one key difference: Fable 5 includes additional safety classifiers for cyber, biological/chemical, and distillation risks, while Mythos 5 omits them for maximum unrestricted capability.

Model IDs:

  • claude-fable-5 — Full safety classifiers (recommended)
  • claude-mythos-5 — No safety classifiers (research/trusted)
Spec Value
Context window1M tokens
Max output128K tokens
Input modalitiesText + Image (vision)
Thinking modeAdaptive (always on)
AWS Bedrockanthropic.claude-fable-5
Vertex AIclaude-fable-5

Pricing: Half the Cost of Previous Gen

The headline number: Fable 5 costs exactly half of Claude Mythos Preview. At $10/M input and $50/M output, it establishes a new price-performance frontier for Anthropic's model line and undercuts GPT-5.5 on both dimensions.

Model Input (/1M) Output (/1M) Cache Read
Claude Fable 5$10.00$50.00$1.00
Claude Mythos Preview$20.00$100.00$2.00
Claude Opus 4.8$5.00$25.00$0.50
GPT-5.5$15.00$60.00$7.50

Benchmark Performance: #1 Across the Board

Fable 5 claims the top spot on the Artificial Analysis Intelligence Index with a score of 64.9 — roughly 5 points ahead of GPT-5.5 and significantly above Gemini 3.1 Pro Preview. The gap is most pronounced on coding benchmarks, where Cursor, Cognition, and Sourcegraph all report Fable 5 outperforming GPT-5.x on real engineering tasks.

Benchmark Fable 5 GPT-5.5 Gemini 3.1
AA Intelligence Index64.9~59.9~57
Humanity's Last Exam53%~45%~42%
FrontierCode (Cognition)#1#2#3
AA-Omniscience40~3533
CursorBenchSOTA
Hebbia Finance#1

Critical Update: US Export Control Suspension (June 12)

On June 12, the US government issued an export control directive suspending ALL access to Claude Fable 5 and Mythos 5 for foreign nationals. Anthropic is disputing the basis, stating the jailbreak technique produces results "widely available from other models (including OpenAI's GPT-5.5)."

Current status: US-based accounts continue normally. International access is suspended. Anthropic is working on a compliance solution.

Use Case Comparison

Use Case Winner Why
Complex codingFable 5#1 FrontierCode, CursorBench
Long-document analysisTieBoth support 1M context
Writing and contentFable 5Best long-form verbosity
Real-time / low latencyGemini 3Fable 5: ~64 tok/s
Budget-sensitiveFable 533% cheaper input vs GPT-5.5
Multi-modalGPT-5.5Audio, video, image support
China directProxy neededNone of three accessible from China

Code Example: Calling Claude Fable 5

import anthropic

client = anthropic.Anthropic(api_key="YOUR_API_KEY")

response = client.messages.create(
    model="claude-fable-5",
    max_tokens=4096,
    messages=[
        {"role": "user", "content": "Write a Python LRU cache with TTL support"}
    ]
)

print(response.content[0].text)
curl https://api.anthropic.com/v1/messages \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-fable-5",
    "max_tokens": 4096,
    "messages": [{"role": "user", "content": "Write a Python LRU cache with TTL"}]
  }'

Verdict

Claude Fable 5 and Mythos 5 are currently the most capable publicly available AI models — leading every major benchmark from the Intelligence Index to FrontierCode to CursorBench. The pricing at $10/$50 per MTok is aggressive for Anthropic's frontier tier, undercutting GPT-5.5 on both input and output costs.

The export control suspension is the wildcard. For US-based teams, Fable 5 is the clear recommendation for any non-realtime, quality-sensitive workload. For international teams, the path forward depends on how quickly Anthropic resolves the compliance issue.

Decision Tree:

  • Need the best quality? Fable 5 (if US-based) or GPT-5.5
  • Budget constrained? Fable 5 beats GPT-5.5 on price
  • Need multi-provider flexibility? Try an aggregator like FreeModel with OpenAI-compatible routing
  • China-direct access? Use FreeModel for multi-provider routing without proxy
  • Lowest latency? Gemini 3 is faster