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Claude Fable Latest vs Gemini 3.1 Pro

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Fable Latest and Gemini 3.1 Pro.

Anthropic

Claude Fable Latest

This model always redirects to the latest model in the Claude Fable family.

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Google

Gemini 3.1 Pro

Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.

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Technical Specifications

SpecificationClaude Fable LatestGemini 3.1 Pro
ProviderAnthropicGoogle
Context Window1,000,000 tokens2,000,000 tokens
Agent SuitabilityN/A93/100
Time to First Token (TTFT)N/A420 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-06-092026-04-20

API Pricing Comparison

Input Price per Million Tokens

Claude Fable Latest

$10.00

Gemini 3.1 Pro

$2.00

Output Price per Million Tokens

Claude Fable Latest

$50.00

Gemini 3.1 Pro

$12.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
N/Avs9280.0%
Claude Fable Latest
Gemini 3.1 Pro
HumanEvalPython coding & logic synthesis
N/Avs9460.0%
Claude Fable Latest
Gemini 3.1 Pro
MATHComplex mathematical problem solving
N/Avs8800.0%
Claude Fable Latest
Gemini 3.1 Pro
GPQAGraduate-level expert reasoning
N/Avs8130.0%
Claude Fable Latest
Gemini 3.1 Pro
HellaSwagCommonsense reasoning and inference
N/Avs9840.0%
Claude Fable Latest
Gemini 3.1 Pro
MT-BenchMulti-turn conversation flow quality
N/Avs950.0%
Claude Fable Latest
Gemini 3.1 Pro

Claude Fable Latest Quirks & Gotchas

No developer gotchas reported.

Gemini 3.1 Pro Quirks & Gotchas

  • โ–ธBest model for massive context โ€” 2M token window is class-leading
  • โ–ธTool calling requires explicit schema definition in Google AI Studio