Modeller

Gemini 3.5 Flash-Lite

Google's fastest and most cost-effective Gemini 3.5-class model, delivering around 350 output tokens per second per the Artificial Analysis Index. Designed for low-latency and high-throughput agentic workflows such as agentic search and document processing, with configurable thinking levels, built-in computer use, and full multimodal support across a 1M-token context window.

Gemini 3.6 Flash

Google DeepMind's workhorse Flash model that builds on Gemini 3.5 Flash with better coding, knowledge work, and multimodal performance while reducing output token usage by roughly 17% per the Artificial Analysis Index. Natively multimodal across text, image, audio, and video with a 1M-token context window, configurable thinking levels, and built-in computer use, tuned for scaling agentic workflows at a lower cost per output token.

Inkling

Thinking Machines Lab's open-weights general-purpose multimodal Mixture-of-Experts model with 975B total parameters and 41B active parameters. Inkling accepts text, image, and audio inputs, produces text, and is designed for agentic and tool-use systems, coding assistants, chatbots, and retrieval-augmented generation.

GPT-5.6 Terra

OpenAI GPT-5.6 serisinin dengeli modeli; en yüksek kalite düzeyinden bir miktar ödün verirken belirgin şekilde daha düşük gecikme ve maliyet sunar. Ayarlanabilir akıl yürütme derinliğiyle güçlü reasoning, kodlama ve agent tabanlı araç kullanımını korur. Bu nedenle ileri yeteneklere ihtiyaç duyan yüksek hacimli production iş yükleri için varsayılan seçenek olmaya uygundur.

GPT-5.6 Sol

OpenAI GPT-5.6 serisinin amiral gemisi modeli; zorlu gerçek dünya görevlerinde güvenilirliği ve verimliliği artırırken kodlama, bilimsel akıl yürütme, uzun vadeli planlama ve agent iş akışlarını geliştirir. Maksimum reasoning-effort ayarı ve karmaşık çok adımlı çalışmalar için alt agent'lar başlatan ultra modunu ekler.

Gemini 3.5 Flash

Google DeepMind's balanced Gemini 3.5 model that pairs Pro-line reasoning quality with Flash-line latency and cost. Natively multimodal across text, image, audio, and video with a 1M-token context window, configurable thinking levels, and streaming function calling, tuned for high-throughput production workloads.

Gemini 3 Flash

Google's balanced model combining Gemini 3 Pro's reasoning capabilities with the Flash line's latency, efficiency, and cost. Features configurable thinking levels, multimodal function responses, and streaming function calling for complex agentic workflows.

Gemini 3.1 Flash-Lite

Google's most cost-efficient Gemini model optimized for high-volume, low-latency use cases. Delivers 2.5x faster time to first token versus Gemini 2.5 Flash with full multimodal support. Ideal for agentic tasks, data extraction, translation, and classification.

Gemini 2.5 Pro

Google's high-capability reasoning model with adaptive thinking for complex agentic and multimodal challenges. Features 1M token context window and strong performance on coding and scientific tasks.

Gemini 2.5 Flash

Google's cost-effective model optimized for high throughput tasks. Balances speed and intelligence with strong multimodal capabilities and 1M token context window.