Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro offers 33.8K more tokens in context window than GPT-4.1 nano. GPT-4.1 nano is $13.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 3.1 Pro is a multimodal language model from Google DeepMind, released in preview in February 2026 as a point-version upgrade to Gemini 3 Pro focused on improving reasoning depth, factual grounding, and coding and agentic task performance. The model accepts text, images, video, audio, and PDFs as inputs across a 1M token context window, extending the multimodal breadth of the Gemini 3 series with a companion endpoint specifically optimized for custom tool use in agentic pipelines. Google describes it as built to refine the reliability and performance of the Gemini 3 Pro series, reflecting an incremental engineering iteration rather than an architectural overhaul.
OpenAI
GPT-4.1 nano is OpenAI's smallest member of the GPT-4.1 family, released in April 2025 alongside GPT-4.1 and GPT-4.1 mini as the latency-optimized, cost-minimized option for high-throughput applications. Positioned below GPT-4.1 mini in both size and cost, it was designed for use cases where speed and affordability dominate over raw capability — including tool calling, intent classification, short-form instruction following, and retrieval-augmented lookup tasks. Unlike its larger siblings, it supports fine-tuning, making it a practical candidate for task-specific customization at scale without incurring the cost of fine-tuning larger models.
10 months newer

GPT-4.1 nano
OpenAI
2025-04-14

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Cost per million tokens (USD)
Gemini 3.1 Pro
GPT-4.1 nano
Context window and performance specifications
GPT-4.1 nano
2024-06
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
Gemini 3.1 Pro
GPT-4.1 nano
Gemini 3.1 Pro
GPT-4.1 nano
Gemini 3.1 Pro
GPT-4.1 nano
OpenAI