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Discover how Anthropic's Claude Fable 5.1 and Google's Gemini 3.7 Flash stack up against each other in this comprehensive comparison of two leading AI language models. Released in September 2026 and August 2026 respectively, these models represent significant advancements in artificial intelligence, with Claude Fable 5.1 offering a 1,000,000-token context window and Gemini 3.7 Flash offering a 1,048,576-token context window.

Explore their capabilities, pricing, and performance metrics, with Claude Fable 5.1 achieving 1,498 on LMArena Elo and Gemini 3.7 Flash scoring 1,490, making this comparison essential for developers and organizations seeking the right AI solution for their specific needs.

Models Overview

	Claude Fable 5.1	Gemini 3.7 Flash
Provider The company that provides the model.	Anthropic	Google
Context Length Maximum number of tokens the model can process	1M	1.05M
Maximum Output Maximum number of tokens the model can generate in one response	128K	65.54K
Release Date When the model was first released.	01-09-2026	08-2026
Knowledge Cutoff When the model's training data ends.	2026-06	Unknown
Open Source Whether the model weights are openly available.	FALSE	FALSE

Pricing Comparison

Compare the pricing of Anthropic's Claude Fable 5.1 and Google's Gemini 3.7 Flash to determine the most cost-effective solution for your AI needs. Prices are the standard API tier per million tokens, as published by each provider as of September 2026.

	Claude Fable 5.1	Gemini 3.7 Flash
Input Cost Cost per million input tokens	$10 / 1M tokens	$0.75 / 1M tokens
Output Cost Cost per million tokens generated	$50 / 1M tokens	$3.75 / 1M tokens

Comparing Benchmarks and Performance

Compare the performances of Anthropic's Claude Fable 5.1 and Google's Gemini 3.7 Flash on industry benchmarks. Scores are the ones the providers and public leaderboards report; a benchmark neither reports is left out.

	Claude Fable 5.1	Gemini 3.7 Flash
LMArena Elo Crowd-sourced blind preference rating on the LMArena text leaderboard.	1,498	1,490
Terminal-Bench 2.1 Agentic tasks completed in a real terminal.	Benchmark not available	85.8%

Sources — Claude Fable 5.1: platform.claude.com, arena.ai; Gemini 3.7 Flash: ai.google.dev, arena.ai, deepmind.google.