AI पर ईमानदार विचार,
builders से

ByteDance Seed 1.8, multimodal agent model (text, image & video in → text), strong tool use + reasoning, 256K context. Native via BytePlus (Ark).

ByteDance Seed 2.0 Code (preview), coding-specialized agent (text & image in → text), strong tool use + reasoning. Native via BytePlus (Ark).

ByteDance Seed 2.0 Lite, efficient multimodal agent (text, image & video in → text), tool use + reasoning, 256K context. Native via BytePlus (Ark).

ByteDance Seed 2.0 Mini, fast lightweight multimodal agent (text, image & video in → text), tool use. Native via BytePlus (Ark).

ByteDance Seed 2.0 Pro, flagship multimodal agent (text, image & video in → text), strong tool use + reasoning, 256K context. Native via BytePlus (Ark).

ByteDance Seed 2.1 Turbo, fast multimodal reasoning agent (text & image in → text), strong tool use + thinking, 256K context. Native via BytePlus (Ark).

Specialized model for code generation, completion, and understanding.

DeepSeek V4 Flash, fast, cost-effective daily driver. 1M context, thinking + non-thinking modes.

DeepSeek flagship V4. 512K context, advanced reasoning + tool use.

Fable 5 by Anthropic.

Sakana's multi-agent conductor, orchestrates a pool of frontier models for complex reasoning. Billed per token, orchestration included.

Fast and efficient model with adaptive thinking for complex tasks

Cost-efficient high-throughput model for budget-conscious applications

Enhanced thinking and reasoning for complex problems

Google's fastest frontier model. Beats 2.5 Pro at 1/4 the cost with 1M context

Cost-efficient high-throughput model for budget-conscious applications.

Google's most capable agentic model with 1M token context, 77.1% ARC-AGI-2 reasoning, and native tool use.

Fast flagship with adaptive thinking for complex tasks.

Cost-efficient GA Flash model for high-throughput multimodal tasks.

Google's latest GA Flash model for fast multimodal reasoning and agentic workloads.

Google's most capable Flash model for agentic workflows and multimodal reasoning.

Google's open-weight mixture-of-experts model, 26B total, 4B active parameters for fast inference

Google's open-weight dense model with 262K context and strong multilingual reasoning

Previous flagship with thinking mode. MoE architecture, 128K context.

Lightweight model optimized for efficiency. 128K context.

Free tier model. Great for testing and light workloads.

Vision-language model for image understanding and analysis.

Flagship model with reasoning, coding, and agentic capabilities. 128K context.

Vision-capable model for image understanding and analysis.

Free vision model. Great for testing image understanding.

Lightweight vision model. Fast and cost-effective for image tasks.

Latest flagship. 358B params, 204K context, 131K output. #1 on LiveCodeBench.

Lightweight, completely free GLM-4.7 variant with 200K context.

Lightweight, high-speed and affordable GLM-4.7 variant with 200K context.

Most capable Z.ai model. 744B params (40B active MoE), 28.5T training tokens. Built for complex systems engineering and agentic tasks.

Fast variant of GLM-5 with optimized speed and competitive quality.

Z.ai's current flagship for agentic and coding tasks.

Z.ai's latest flagship for agentic and coding tasks.

Z.ai's newest flagship for agentic and coding tasks. Always reasons; text-only input.

Z.ai's fast, low-cost GLM-5.3 variant: 1M context, tools, always reasons; text and image input.

Native multimodal coding model. 744B MoE (40B active), 203K context. Optimized for design-to-code, GUI automation, and vision-grounded agentic tasks.

OpenAI GPT-3.5 Turbo (chat completions endpoint).

OpenAI GPT-3.5 Turbo 16K (chat completions endpoint).

OpenAI GPT-4 (chat completions endpoint).

OpenAI GPT-4 Turbo (chat completions endpoint).

OpenAI GPT-4.1 (chat completions endpoint).

OpenAI GPT-4.1 Mini (chat completions endpoint).

OpenAI GPT-4o (chat completions endpoint).

OpenAI GPT-4o Mini (chat completions endpoint).

OpenAI GPT-5 (chat completions endpoint).

OpenAI GPT-5 Mini (chat completions endpoint).

OpenAI GPT-5 Nano (chat completions endpoint).

OpenAI GPT-5 Pro (chat completions endpoint).

OpenAI GPT-5 Search API (chat completions endpoint).

OpenAI GPT-5.1 (chat completions endpoint).

OpenAI GPT-5.2 (chat completions endpoint).

OpenAI GPT-5.2 Pro (chat completions endpoint).

OpenAI GPT-5.3 Codex (chat completions endpoint).

OpenAI mid-tier flagship (March 2026).

OpenAI fast/cheap chat model.

OpenAI cheapest tier, very fast.

OpenAI GPT-5.4 Pro (chat completions endpoint).

OpenAI flagship chat model (April 2026 release).

OpenAI premium tier with deep reasoning. April 2026.

OpenAI GPT-5.6 Luna — high-volume streaming tasks, fast + economical 5.6 tier.

OpenAI GPT-5.6 Sol — frontier logic + deep reasoning, the flagship 5.6 tier.

OpenAI GPT-5.6 Terra — balanced business logic, mid 5.6 tier.

Non-reasoning variant of Grok 4.20. Fastest 4.20 path for chat and high-throughput tasks.

Reasoning-mode variant of Grok 4.20. Slower but stronger on multi-step problems.

xAI's flagship general-purpose model. 1M context, balanced reasoning and chat.

xAI's newest flagship, launched July 2026. 500K context, strongest reasoning + coding, trained alongside Cursor.

xAI's newest flagship. 500K context, accepts text and images, strongest reasoning + coding.

Compact model tuned for code generation and structured output. 256K context.

Claude's fastest and most intelligent Haiku model

Latest Kimi K2 reasoning model. Replaces K2 thinking variants (k2-thinking and k2-thinking-turbo) being retired 2026-05-25.

Coding-specialized Kimi K2 model (k2.7). 256K context, agentic tool use and function calling, tuned for software engineering.

High-speed variant of Kimi K2.7 Code for low-latency agentic software engineering.

Moonshot's open-weight 2.8T-parameter multimodal reasoning model with a 1M-token context window.

Agentic capabilities with advanced reasoning and thinking process visibility

Optimized for high concurrency and commercial use with advanced reasoning

Frontier reasoning model with SOTA coding, agentic tool use, and complex real-world task performance

Fast variant of M2.5 optimized for speed at ~100 tokens per second

Autonomous real-world productivity with agentic collaboration, live debugging, and professional document generation

Fast variant of M2.7 for latency-sensitive work. 200K context, text only.

MiniMax flagship LLM, 1M context.

Efficient reasoning model for everyday logic tasks.

High-performance edge model with vision. Best Ministral for complex tasks.

Ultra-lightweight edge model with vision. 3B params, runs on phones/laptops.

Compact edge model with vision. 8B params for local deployment.

Open-weight flagship. 675B MoE (41B active), multimodal with vision. Apache 2.0 licensed.

Premier frontier-class multimodal model. Great balance between Large and Small.

Fast and efficient model for simple tasks. Great balance of performance and cost.

Mistral's model optimized for command-line and terminal-based coding workflows.

OpenAI o3 (chat completions endpoint).

Premium model combining maximum intelligence with practical performance

Most capable Claude model with enhanced reasoning and coding

Highly capable Claude Opus for complex reasoning and coding (1M context)

Anthropic's most capable model for complex reasoning and agentic coding (1M context)

Anthropic's flagship Opus — deep reasoning, agentic coding and long-horizon work (1M context)

Large-context generalist with 128K window. Excellent for complex generation and analysis. Augure sovereign Canadian AI.

Premium multimodal model with vision and tool use, strong bilingual EN/FR. Augure sovereign Canadian AI.

Ultra-fast model with 1M context. Best latency and cost efficiency for simple tasks.

Balanced flagship model with 1M context. Best performance/cost ratio for most tasks.

Cost-effective coding model optimized for speed. Fast code generation and completion at lower cost.

Advanced vision-language model with 262K context. Excels at visual coding, spatial perception, and multimodal reasoning.

Flagship 1T+ parameter model. State-of-the-art reasoning, coding, and agent capabilities.

Alibaba Qwen3.5 Omni Flash, fast multimodal (text & image input, text output). Singapore deployment; native voice/audio coming.

Alibaba Qwen3.5 Omni, multimodal (text & image input, text output). Singapore deployment; native voice/audio coming.

397B MoE model with 17B active parameters, 1M token context, multimodal (text/image/video)

Flagship 1T+ parameter model. State-of-the-art reasoning, coding, and agent capabilities.

Qwen3.6 Plus, next-gen frontier LLM (Agentic Coding, vision/OCR, fine-grained localization). Replaces Qwen3.5 Plus.

Alibaba's Agent Frontier flagship.

Multimodal frontier (vision/video); cheaper than Max.

Alibaba's 2.4T-parameter multimodal MoE flagship. 1M context, accepts text and images.

Premium model for complex, multi-step work. Augure sovereign Canadian AI.

Sarvam's 24B multilingual LLM, fluent in all 22 official Indian languages + English. OpenAI-compatible API. Free tier with no per-token charges. Supports wiki grounding, reasoning effort control, and tool calls.

Upstage lightweight model for fast, cost-effective inference.

Upstage previous-generation pro model with 64K context.

Upstage nightly build of Solar Pro 2 with latest improvements.

Upstage flagship 100B MoE model with reasoning capabilities and strong multilingual performance.

Perplexity's lightweight search-augmented model, real-time web search with citations, fast responses, 128K context.

Perplexity's most thorough research model, multi-step deep web investigation with comprehensive citations and reasoning.

Perplexity's advanced search model, deeper web research, multi-step reasoning with citations, 200K context.

Perplexity's reasoning model, extended thinking with real-time web search, ideal for complex research and analysis.

Claude's best model for complex agents and coding

Best Claude Sonnet for complex agents and coding (1M context)

Anthropic's most capable Sonnet — closes the gap with Opus for complex agents and coding (1M context)

StepFun's latest reasoning model, 196B MoE (11B active), 256K context, open-source Apache 2.0. Fast agentic intelligence with strong code and math.

StepFun's multimodal flagship reasoning model.

Upstage advanced synthetic reasoning model with 64K context.

Fast bilingual workhorse with 128K context for general inference, document processing, and EN/FR tasks. Augure sovereign Canadian AI.