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Discover how Open AI's GPT-5.6 Sol and Google's Gemini 3.7 Flash stack up against each other in this comprehensive comparison of two leading AI language models. Released in July 2026 and August 2026 respectively, these models represent significant advancements in artificial intelligence, with GPT-5.6 Sol offering a 1,050,000-token context window and Gemini 3.7 Flash offering a 1,048,576-token context window.

Explore their capabilities, pricing, and performance metrics, with GPT-5.6 Sol achieving 1,483 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

Open AI GPT-5.6 Sol
Google Gemini 3.7 Flash

Provider

The company that provides the model.
Open AIGoogle

Context Length

Maximum number of tokens the model can process
1.05M1.05M

Maximum Output

Maximum number of tokens the model can generate in one response
128K65.54K

Release Date

When the model was first released.
09-07-202608-2026

Knowledge Cutoff

When the model's training data ends.
2026-02-16Unknown

Open Source

Whether the model weights are openly available.
FALSEFALSE

Pricing Comparison

Compare the pricing of Open AI's GPT-5.6 Sol 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.

Open AI GPT-5.6 Sol
Google Gemini 3.7 Flash

Input Cost

Cost per million input tokens
$4 / 1M tokens$0.75 / 1M tokens

Output Cost

Cost per million tokens generated
$20 / 1M tokens$3.75 / 1M tokens

Comparing Benchmarks and Performance

Compare the performances of Open AI's GPT-5.6 Sol 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.

Open AI GPT-5.6 Sol
Google Gemini 3.7 Flash

LMArena Elo

Crowd-sourced blind preference rating on the LMArena text leaderboard.
1,4831,490

Terminal-Bench 2.1

Agentic tasks completed in a real terminal.
88.8%*85.8%

* Score published by another provider's comparison table, not by the model's own provider.

Sources — GPT-5.6 Sol: developers.openai.com, community.openai.com, arena.ai, deepmind.google; Gemini 3.7 Flash: ai.google.dev, arena.ai, deepmind.google.

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