Claude Fable 5 vs Gemini 3.6 Flash: pricing, Quality, Value, and benchmarks

Buyer access

Pricing, app access, and Conversation Value

• Humanity's Last Exam

  Normalized quality input

  53.3%

  Artificial Analysis Claude Fable 5 evaluation | Independent Fable 5 production-config result with adaptive reasoning, maximum effort, and safeguard fallback enabled.

• AA-Omniscience

  AA-Omniscience Index

  40.1

  Artificial Analysis AA-Omniscience evaluation | Independent Artificial Analysis result for Claude Fable 5 (Adaptive Reasoning, Max Effort, safeguard fallback enabled). Display-only; this row does not affect Quality or Value scores.

• SWE-Bench Pro

  Normalized quality input

  80.0%

  Anthropic Claude Fable 5 and Mythos 5 system card | Anthropic vendor-reported Fable 5 result averaged over five trials. Use the Fable 5 SWE-Bench Pro column, not Mythos 5 or SWE-Bench Verified.

• Terminal-Bench 2.1

  Agentic terminal task completion

  84.3%

  Anthropic Claude Fable 5 and Mythos 5 system card | Anthropic vendor-reported Fable 5 Terminal-Bench 2.1 result using mini-SWE-agent at high effort; 20.9% of trials used safeguard fallback routing.

• Humanity's Last Exam

  Normalized quality input

  38.3%

  Artificial Analysis Gemini 3.6 Flash evaluation | Independent text-only HLE evaluation using the high reasoning configuration over the 2,158-question set.

• SWE-Bench Pro

  Normalized quality input

  58.7%

  Google DeepMind Gemini 3.6 Flash model card | Vendor-reported SWE-Bench Pro (Public) result.

• Terminal-Bench 2.1

  Agentic terminal task completion

  78.0%

  Google DeepMind Gemini 3.6 Flash model card | Vendor-reported Terminal-Bench 2.1 result using the Terminus-2 harness.

The most intelligent model in the current field, but its record capability comes with roster-leading token prices, quarter-rate token throughput, and safeguard-triggered fallback routing.

Claude Fable 5 is the most intelligent generally available model in the current field: its production configuration leads the independent Artificial Analysis Intelligence Index, while Anthropic reports 80.0% on SWE-Bench Pro and 84.3% on Terminal-Bench 2.1. Buy it selectively, not by default. At $10 per million input tokens and $50 per million output tokens, it is the most expensive model in the current PickAI roster, and its published input and output token-per-minute limits are only one quarter of the rates published for standard current Claude models. Fable can also decline classifier-flagged requests involving cybersecurity, biology or chemistry, model distillation, or frontier-AI development; supported Claude clients may then use safeguard fallback routing. Anthropic says client users are notified and API responses identify the serving model or refusal, so production integrations should surface that metadata and never assume every request was answered by Fable.

Google's latest Flash model combines fast multimodal operation with a 1M-token context window and mid-tier token pricing.

Gemini 3.6 Flash combines a 1M-token context window, multimodal input, and exact-variant HLE, SWE-Bench Pro, Terminal-Bench 2.1, and MRCR evidence. At $1.50 per million input tokens and $7.50 per million output tokens, it targets fast general-purpose and agentic workloads rather than maximum frontier capability.