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-3.3-Nemotron-Super-49B-v1 is a 49-billion-parameter model from NVIDIA, fine-tuned from Meta's Llama 3.3 using NVIDIA's Nemotron post-training pipeline that combines supervised fine-tuning with reinforcement learning to enhance reasoning, instruction alignment, and complex problem-solving. The Super tier in the Nemotron family represents a mid-range capability level — positioned above the Nano series and below the Ultra 253B flagship — offering a balance between high-quality outputs and manageable inference infrastructure requirements. Released open-weight on HuggingFace with NVIDIA NIM support, it targets teams with multi-GPU setups who need strong reasoning capability without the scale of the Ultra model.
3 months newer

Llama-3.3 Nemotron Super 49B
NVIDIA
2025-03-01

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-3.3 Nemotron Super 49B
Gemini 2.5 Flash
Llama-3.3 Nemotron Super 49B
Gemini 2.5 Flash
Llama-3.3 Nemotron Super 49B