Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash supports multimodal inputs. Gemini 2.5 Flash is available on 2 providers. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
NVIDIA
Llama-3.1-Nemotron-Nano-8B-v1 is an 8-billion-parameter model from NVIDIA, developed as a fine-tuned variant of Meta's Llama 3.1 8B using NVIDIA's Nemotron post-training methodology, which applies reinforcement learning and process reward modeling to enhance instruction-following and reasoning capability over the base model. The Nano designation marks it as the entry-level member of the Nemotron family, optimized for efficient inference on a single GPU while delivering meaningfully improved performance on instruction alignment and agentic tasks compared to standard Llama 3.1. Released open-weight on HuggingFace, it is designed for deployment in NVIDIA-accelerated environments and supports NVIDIA NIM for enterprise inference.
5 months newer

Llama 3.1 Nemotron Nano 8B
NVIDIA
2025-01-06

Gemini 2.5 Flash
Google DeepMind
2025-06-17
Context window and performance specifications
Available providers and their performance metrics
Gemini 2.5 Flash
Google Cloud Vertex AI
Llama 3.1 Nemotron Nano 8B
Gemini 2.5 Flash
Llama 3.1 Nemotron Nano 8B
Gemini 2.5 Flash
Llama 3.1 Nemotron Nano 8B