KI-Modelle

Standard pricing unit for AI APIs — cost in US dollars per one million processed tokens. Listed separately for input, output and sometimes cache.

Asynchronous API mode that collects many requests and processes them at a significant discount — results are typically delivered within 24 hours.

Claude Mythos (April 2026) is Anthropic's most powerful model to date — a new tier above the Opus line, distributed primarily through the Glasswing program to cybersecurity defenders.

Claude Opus 4.5 is Anthropic's top-tier model from November 2025 — the direct predecessor of Opus 4.6, bringing "Infinite Chats" and substantially reduced token usage.

Janus-Pro-7B is DeepSeek's open-source multimodal model from January 2025 — unifying image understanding and image generation in a single 7B architecture, MIT-licensed.

DeepSeek V4 (April 2026) is the fourth generation of the Chinese open-weight MoE model — released as Pro (1.6T parameters) and Flash (284B) under MIT license, with a 1M-token context window.

Gemini 3 Pro (November 2025) was Google's third flagship model with a 1M-token context window and native multimodality — now superseded by Gemini 3.1 Pro.

Gemini 3.1 Pro (February 2026) is Google's current flagship — 1M-token context, 64K output tokens, doubled reasoning performance over Gemini 3 Pro.

Gemma 4 is Google DeepMind's open model family from April 2026 — four sizes (E2B to 31B), 256k context, multimodal, Apache 2.0 licensed.

GLM-4.6 is Zhipu AI's open-weight MoE model from September 2025 — 355B parameters (32B active), 200k context, MIT-licensed, with a focus on coding performance.

GLM-5.1 is Z.ai's open-source flagship from April 2026 — 744B parameters (40B active), 200k context, designed for agentic coding with up to 8 hours of autonomous runtime.

GPT-4o (May 2024) was OpenAI's first natively multimodal model — text, audio and image in a single model, with a real-time voice mode and substantially lower cost than GPT-4 Turbo.

GPT-4o mini (July 2024) is OpenAI's small, low-cost variant of GPT-4o — positioned as the successor to GPT-3.5 Turbo, clearly stronger at a much lower price per token.

GPT-5.2 is OpenAI's model generation from December 2025 — three variants (instant, thinking, Pro), a 400k context window and new state-of-the-art on professional knowledge work.

GPT-5.3 is an iteration of OpenAI's GPT-5 line — the Instant variant launched on March 3, 2026 with a focus on factual accuracy, shorter preambles and a more natural conversational flow.

GPT-5.3-Codex is OpenAI's specialized agentic coding model (February 2026), the successor to GPT-5.2-Codex — 25% faster, with substantial gains on Terminal-Bench and OSWorld.

GPT-5.3-Codex-Spark is OpenAI's coding model from February 2026 — a smaller, real-time-optimized variant of GPT-5.3-Codex delivering over 1000 tokens per second on Cerebras hardware.

GPT-5.4 is OpenAI's reasoning model from March 5, 2026 — the first mainline model with the coding capabilities of GPT-5.3-codex, native computer-use controls and 1M-token context.

GPT-5.5 is OpenAI's flagship from April 23, 2026 — positioned as its "smartest and most intuitive model" and pitched as a step toward AI that works across tools on its own.

Grok 4 is xAI's reasoning model from July 2025 — text and image input, 256k context, trained via reinforcement learning on the 200,000-GPU Colossus cluster.

Tokens you send to an AI model in an API call — your prompt, the context, attached documents. Billed separately from output tokens and usually much cheaper.

Kimi K2 is Moonshot AI's open-weight MoE model series with 1T total parameters and 32B active parameters, trained on 15.5T tokens — focused on agentic and coding tasks.

Kimi K2.6 is Moonshot AI's open-weight agent model from April 2026 — 1T parameters (32B active), 262k context, natively multimodal, with agent swarms of up to 300 sub-agents.

Llama 3.2 is Meta's model generation from September 2024 — the first with vision support (11B/90B) and lightweight edge models (1B/3B) for mobile and on-device use.

Llama 4 Maverick (April 2025) is Meta's large Mixture-of-Experts variant in the Llama 4 lineup — 17B active out of 400B parameters across 128 experts, 1M-token context.

Llama 4 Scout (April 2025) is Meta's smaller Mixture-of-Experts variant in the Llama 4 lineup — 17B active out of 109B parameters, 10M-token context, multimodal.

Llama-3-SauerkrautLM-70b is a German-language DPO fine-tune of Meta Llama 3 70B, developed by VAGOsolutions and Hyperspace.ai.

MiniMax is an AI lab founded in Shanghai in 2021 whose open-weight M model family (LLMs) targets very long context windows and low running costs via sparse attention.

Mistral Large 3 (December 2025) is Mistral's open-weight MoE flagship — 675B parameters, 256K-token context, natively multimodal, Apache 2.0.

Mistral Small 4 is Mistral AI's open-weight MoE model from March 2026 — merging reasoning, vision and coding into one model, 119B parameters (6.5B active), Apache 2.0.

Claude Opus 4.6 is Anthropic's flagship model from February 2026 — top tier of the Claude 4 family with a 1M-token context window, stronger coding and new effort controls.

Claude Opus 4.7 is Anthropic's top-tier model from April 2026 — successor to Opus 4.6 with high-resolution image processing, a new xhigh effort level and task budgets for long agentic runs.

Tokens an AI model produces as its response. Billed separately and usually three to five times more expensive than input tokens because the model has to actively generate them.

Prompt caching is an API feature in which a provider stores recurring prompt prefixes — making subsequent requests cheaper and faster because the cached portion is not reprocessed.

Qwen 3.5 (February 2026) is Alibaba's third-generation open model family — from 0.8B to 397B parameters, MoE flagship with 1M-token context, multimodal.

Provider-enforced cap on requests or tokens per time window — it protects infrastructure and ensures fair usage across customers.

SauerkrautLM is a German-language LLM family from the German startup VAGOsolutions — fine-tunes based on Llama, Qwen, Mistral, and other open architectures.

Tiered model line-up from a provider — small fast variants (Mini/Flash/Haiku) at a fraction of the price of the big frontier models. Also: volume tiers with quantity discounts.