GPT-5.4 vs Gemini 3.1 Pro: Which Frontier AI Leads?

GPT-5.4 vs Gemini 3.1 Pro: Overview

OpenAI's GPT-5.4 and Google's Gemini 3.1 Pro are two of the top three frontier models in 2026, competing across intelligence, multimodal capabilities, and developer tooling. This comparison covers where each model excels and which one makes sense for your use case.

Benchmark Comparison

Gemini 3.1 Pro leads on more benchmarks than expected. It wins on GPQA Diamond (94.3% vs 92.8%), SWE-bench (80.6% Verified vs 57.7% Pro), HLE (51.4% vs 44.3%), and Arena ELO (1493 vs 1484). The AA Index is tied at 57.

GPT-5.4's standout achievement is a perfect 100% on AIME 2025, demonstrating exceptional mathematical reasoning. But across most other metrics, Gemini 3.1 Pro holds a slight to moderate advantage.

Multimodal Capabilities

This is Gemini 3.1 Pro's strongest differentiator. Google's model is natively multimodal:

• Image understanding — analyze photos, charts, diagrams, and screenshots
• Video processing — summarize, analyze, and extract information from videos
• Audio transcription and analysis — process spoken content directly
• Document understanding — parse PDFs, scanned documents, and handwritten text

GPT-5.4 supports images and has vision capabilities, but Gemini's video and audio processing are more mature thanks to Google's experience with YouTube, Google Photos, and other media-heavy products.

Context Window

Both models offer similar context windows (1.05M vs 1M tokens). Gemini 3.1 Pro is significantly faster at 119 tokens/second compared to GPT-5.4's 83.5 tokens/second — about 42% faster.

Pricing Comparison

Gemini 3.1 Pro is cheaper across the board. Free consumer access and lower API costs ($2/$12 vs $2.50/$15 per million tokens) make it the more economical choice. The difference is modest on API pricing but the free consumer tier is a major advantage.

At $2/$12 per million tokens, Gemini offers strong value among frontier models — competitive or better benchmark performance at a lower price.

Speed and Infrastructure

GPT-5.4 benefits from OpenAI's mature and highly optimized inference infrastructure at 83.5 tokens/second. Gemini 3.1 Pro runs on Google's TPU infrastructure and delivers even faster speeds at 119 tokens/second, particularly strong for multimodal queries.

Both models offer reliable uptime. Gemini 3.1 Pro has a meaningful speed advantage — about 42% faster in token throughput.

Use Case Recommendations

Choose GPT-5.4 if:

• Mathematical reasoning is critical — perfect 100% AIME 2025 score
• OpenAI ecosystem — existing GPT integrations, plugins, and fine-tuning workflows
• You're already invested in OpenAI's toolchain

Choose Gemini 3.1 Pro if:

• Budget matters — cheaper on both consumer and API tiers
• Coding tasks — Gemini leads significantly on SWE-bench (80.6% vs 57.7%)
• Speed matters — 119 tok/s vs 83.5 tok/s
• Multimodal is essential — best video and audio processing among frontier models
• Google Workspace — native integration with Gmail, Docs, Drive, and Sheets
• Scientific reasoning — higher GPQA Diamond score (94.3% vs 92.8%)

Verdict

Gemini 3.1 Pro edges ahead on most benchmarks, including GPQA Diamond, SWE-bench, HLE, and Arena ELO. GPT-5.4's standout strength is its perfect AIME math score. The real differentiators beyond benchmarks are price, speed, and multimodal capabilities — all of which favor Gemini 3.1 Pro. Google's model offers the better value proposition for most use cases, while GPT-5.4 remains a strong choice for math-heavy applications and teams invested in OpenAI's ecosystem.