AI Model Comparison & Live Token Cost Calculator
About the AI Model Comparison
AI Model Comparison is a tool that puts AI models from leading providers such as OpenAI, Anthropic, Google, xAI, DeepSeek, Meta, Mistral, Alibaba and Cohere side by side in one place. The table shows the context window, maximum output tokens, input and output price and model type (chat, image, video, embedding, reranking) together with benchmark scores such as MMLU, GPQA Diamond, HumanEval and SWE‑bench Verified. Choosing the right model directly shapes both your monthly API cost and the answer quality of your application, so a side-by-side comparison before a purchase or integration decision is the soundest approach. In the sections below, I explain what each column means, how to choose a model for your use case and where each provider is strong.
Which Model Should You Choose for Which Job?
AI models are not all alike; even models from the same provider are optimized for different tasks. Claude Sonnet and the Opus series stand out for writing long reports or summarizing complex texts, while Claude Code and GPT‑5 Codex perform better for extending your codebase; you can follow the latest Claude articles and ChatGPT news archives (in Turkish). For image generation, Nano Banana Pro, ChatGPT Images 2.0 and Recraft make sense; for video generation, Sora and Veo 3.1; for embeddings and search, Voyage and Gemini Embedding 2. For open-weight, low-cost alternatives, see the DeepSeek archive and the Mistral 7B vs Mixtral 8x7B guide (in Turkish). In the comparison table, first use the "Type" filter to narrow the list to models that fit your workload; then check the context window and price columns to judge which model can handle long documents or high-volume enterprise workloads.
Live Token & Monthly Project Cost Calculator
When you compare AI models, the unit token price alone may not tell you what your project will really cost. With the new Live Token & Cost Calculator tab, you can set your estimated monthly request count and average input and output tokens, or pick a ready-made workload template (Customer Support Bot, Coding Agent, RAG Search, High-Volume API). The calculator instantly works out the estimated monthly bill for every model in the catalog (GLM-5.3, GPT-5.6 Sol, Claude Opus 5, DeepSeek V4, Gemini 3.6 Flash and more), shows the cost per 1,000 requests and your savings compared with the cheapest model.
Context Window, Price and Benchmark Scores
The context window is the total number of tokens a model can process at once; it directly sets your quality in scenarios such as long PDF summaries, codebase analysis or legal document review. Input and output prices are in dollars per 1 million tokens; by choosing the cheaper of two models with the same quality, you can easily halve your API bill. The MMLU, GPQA Diamond, HumanEval, AIME and SWE‑bench Verified scores in the benchmark column show how the model performs on academic knowledge, science, coding and real software tasks. Scores are color-coded from green to red: above 80% is green, 60–80% blue, 40–60% yellow and below that red. For developer-focused scenarios, read the GPT‑5 vs Claude Opus agentic coding comparison and the 2026 model explosion analysis (in Turkish) to see which model leads on which workload.
Provider Ecosystems and New Announcements
Every provider is expanding its ecosystem quickly. Anthropic's latest flagship is Claude Opus 4.8; I covered new features such as effort control and dynamic workflows in Claude Opus 4.8 takes the stage. On the OpenAI side, the latest version is GPT‑5.5; I summarized the key changes in OpenAI GPT‑5.5 announced. Google's Gemini 3.1 Pro offers capabilities built for research agents; for an analysis, see Google Gemini 3.1 Pro announced. At xAI, Grok 4.3 Beta arrived with a voice API and agent capabilities; details are in Grok 4.3 Beta voice API and agent move. You can read how DeepSeek V4 sharpened the competition with a 1 million token context window in DeepSeek V4 1 million context (all in Turkish). In addition, new providers such as Meituan, Bytedance, Kwaipilot and Inception joined the Vercel AI Gateway catalog, which let us add Asian models to the table too, so you can evaluate on a global scale rather than only Western providers.
Open-Weight and Closed Models
The AI market is moving along two main tracks: closed-weight and open-weight. OpenAI's GPT series, Anthropic's Claude family and Google's Gemini models are on the closed side, while open-weight models such as Z.ai's GLM-5.3 model, DeepSeek V4, Qwen 3.8 Max, Kimi K3 and Mistral's Mixtral series can run on your own servers and be fine-tuned with private data. Z.ai GLM-5.3 is one of the strongest open-source models, reaching Anthropic Mythos level with a 1M token context window, 164K-token output and advanced cybersecurity analysis. Open models can be strategic for organizations that prioritize data privacy, but closed models still lead in enterprise tasks that need absolute accuracy and long context. For the coding and cybersecurity performance of open-weight models, the GLM-5.3 review, Kimi K3 & K2 analysis and DeepSeek V4 vs OpenAI & Anthropic coding race posts (in Turkish) will guide your comparison.
Using the Comparison Table Effectively
The search box and the provider, model type and tag filters at the top of the table decide which subset you review. After selecting the models you want to compare, scroll the table horizontally to see prices and benchmark scores side by side. You can back up the big picture with the AI development tools power ranking and see how the balance of speed and quality has shifted in recent months in ChatGPT slows down, Gemini speeds up (in Turkish). Use AI Agent for a chat-based experience, AI Prompt Optimizer to prepare image prompts and AI Image Generator to test the resulting prompt. To try the candidates in the table live with your own prompt, use AI Model Arena to see the answers, time to first token and cost of 2–3 models side by side.
The AI ecosystem changes every week, so I keep the table up to date as models are added or benchmark results change. For more content, browse all blog posts, visit the Topics page to browse by tag, or check the FAQ for common technical questions.