Comprehensive side-by-side LLM comparison
GPT-4.1 nano offers 72.2K more tokens in context window than Gemini 3 Flash. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 3 Flash, released by Google in December 2025, is a large language model from the Gemini 3 family that delivers reasoning and coding performance with efficiency optimized for high-volume workloads. It features a 1M token context window, 64K maximum output tokens, and native support for text, image, audio, video, and PDF input. Gemini 3 Flash targets cost-sensitive agentic workflows, document processing, and production APIs requiring fast, capable multimodal responses.
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.
8 months newer

GPT-4.1 nano
OpenAI
2025-04-14

Gemini 3 Flash
Google DeepMind
2025-12-17
Cost per million tokens (USD)
Gemini 3 Flash
GPT-4.1 nano
Context window and performance specifications
GPT-4.1 nano
2024-06
Available providers and their performance metrics
Gemini 3 Flash
Google Cloud Vertex AI
GPT-4.1 nano
Gemini 3 Flash
GPT-4.1 nano
Gemini 3 Flash
GPT-4.1 nano
OpenAI