KI‑Modell‑Intelligenz

Preise · 2026-11-13

LLM‑Preise

Tokenkosten bei großen Anbietern, umgerechnet in USD pro 1 Mio. Tokens.

Cheapest LLM APIs

AI APIs ranked by input + output token cost.

OpenAI API Pricing

All OpenAI model prices in one table — GPT-5, GPT-5 Mini, embeddings and more.

Anthropic Claude Pricing

All Anthropic Claude prices — Opus, Sonnet, Haiku and prompt caching costs.

Über diese Liste

Almost every commercial LLM provider charges separately for input tokens (the prompt you send) and output tokens (the response you get back). Output tokens typically cost 3–5× more than input tokens because generation is autoregressive — each token depends on the previous one and cannot be batched as efficiently.

The table below normalises all prices to USD per 1 million tokens. This is the industry-standard unit; per-1K or per-token rates are easy to misread by 1000×. The "Total" column sums input + output for a quick apples-to-apples comparison, but your real cost depends heavily on your input/output ratio.

What the table does NOT show

  • Prompt caching discounts — Anthropic and OpenAI offer cache_read rates 5–10× cheaper than standard input. If you reuse a long system prompt, caching dominates total cost.
  • Tiered pricing above 200K tokens — Google and Anthropic charge a premium for very long inputs. Each model detail page shows the >200K tier when applicable.
  • Reasoning tokens — thinking models (o-series, Claude Extended Thinking, DeepSeek R1) bill internal reasoning at output rates, often 2–3× the visible answer length.
  • Volume discounts and prepaid credits — most providers offer 10–30% off at scale. These are not reflected here.
  • Audio / image surcharges — multimodal inputs have separate per-image or per-second rates.

How to use this page

  1. Find the cheapest model that meets your context window and capability requirements (tool calling, structured output, vision).
  2. Open its detail page to check cache pricing, output limits and provider availability.
  3. Use the pricing calculator to estimate monthly cost for your actual token volume.
  4. Compare 2–3 finalists side-by-side on a comparison page.

Prices are refreshed daily. Models showing "Unknown" do not publish a public per-token rate — this usually means enterprise-only or invite-gated access. We deliberately do not show them as $0 to avoid misleading rankings.

#ModelVendorInput / 1MOutput / 1MTotalContext
1Qwen3.8 27BAlibaba (Qwen)$0.001$0.001$0.0021.05M
2Ambient Smallambient$0.001$0.001$0.002101K
3All-MiniLM-L6-v2digitalocean$0.009Unknown$0.009256
4Multi-QA-mpnet-base-dot-v1digitalocean$0.009Unknown$0.009512
5Qwen3 Embedding 8BAlibaba (Qwen)$0.010Unknown$0.01033K
6Qwen3 Embedding 4BAlibaba (Qwen)$0.010Unknown$0.01033K
7BGE Reranker v2 M3digitalocean$0.010Unknown$0.0108K
8BGE M3novita-ai$0.010Unknown$0.0108K
9BGE Reranker V2 M3novita-ai$0.010Unknown$0.0108K
10Nomic Embed Text v1.5tinfoil$0.016Unknown$0.0168K
11Llama 3.2 1B InstructMeta$0.010$0.010$0.02060K
12Qwen3 Embedding 0.6BAlibaba (Qwen)$0.010$0.010$0.02033K
13Prompt Guard 2 86MMeta$0.010$0.010$0.020512
14Llama Prompt Guard 2 22MMeta$0.010$0.010$0.020512
15text-embedding-3-smallOpenAI$0.020Unknown$0.0208K
16amazon--titan-embed-textsap-ai-core$0.020Unknown$0.0208K
17text-embedding-3-smallsap-ai-core$0.020Unknown$0.0208K
18text-embedding-3-smallazure$0.020Unknown$0.0208K
19E5 Large v2digitalocean$0.020Unknown$0.020512
20BGE M3digitalocean$0.020Unknown$0.0208K
21text-embedding-3-smallazure-cognitive-services$0.020Unknown$0.0208K
22GLiNER 2.5 Multipioneer$0.030Unknown$0.0304K
23GLiNER2 Basepioneer$0.030Unknown$0.0302K
24GLiNER 2.5 Basepioneer$0.030Unknown$0.0304K
25GLiNER2 Multi Largepioneer$0.030Unknown$0.0308K
26GLiNER2 Largepioneer$0.030Unknown$0.0308K
27GLiNER2 Privacy Filter PII (Multi)pioneer$0.030Unknown$0.0308K
28GLiNER-2.5-Decidepioneer$0.030Unknown$0.0308K
29GLiNER2 Multipioneer$0.030Unknown$0.0308K
30Llama 3.2 3B InstructMeta$0.020$0.020$0.040131K
31Extractopenrouter$0.040Unknown$0.0401M
32Summarizeopenrouter$0.040Unknown$0.0401M
33PaddleOCR VLnovita-ai$0.020$0.020$0.04016K
34Llama-3.1-8B-InstructMeta$0.020$0.030$0.050131K
35ScaleDown: Extractkilo$0.050Unknown$0.0501M
36ScaleDown: Extract-1kilo$0.050Unknown$0.0501M
37ScaleDown: Summarizekilo$0.050Unknown$0.0501M
38ScaleDown: Summarize-1kilo$0.050Unknown$0.0501M
39Extract-1vercel$0.050Unknown$0.0501M
40Summarize-1vercel$0.050Unknown$0.0501M
41Meta Llama 3.1 8B Instruct TurboMeta$0.020$0.030$0.050128K
42GPT OSS 20B (Greenference)edenai$0.009$0.045$0.054131K
43Mistral NemoMistral$0.029$0.030$0.059131K
44Gemma 4 26B A4B ITGoogle$0.015$0.045$0.060262K
45Mistral Nemo Instruct 2407Mistral$0.020$0.040$0.060131K
46DeepSeek OCR 2DeepSeek$0.030$0.030$0.0608K
47inclusionAI: Ling 3.0 Tinykilo$0.015$0.045$0.060262K
48Ling 3.0 Tinynano-gpt$0.015$0.045$0.060262K
49Ling 3.0 Tiny Thinkingnano-gpt$0.015$0.045$0.060262K
50Ling 3.0 Tinyopenrouter$0.015$0.045$0.060262K
51Ministral 3Bazure$0.040$0.040$0.080128K
52Ministral 3Bazure-cognitive-services$0.040$0.040$0.080128K
53Ling 3.0 Flashvercel$0.021$0.063$0.084256K
54Ling 3.0 Flashopenrouter$0.021$0.063$0.084262K
55Gemma 3 4B ITGoogle$0.040$0.050$0.090131K
56Llama 3 8B LunarisMeta$0.040$0.050$0.0908K
57GTE Large (v1.5)digitalocean$0.090Unknown$0.0908K
58Mistral EmbedMistral$0.100Unknown$0.1008K
59Qwen/Qwen2.5-7B-InstructAlibaba (Qwen)$0.050$0.050$0.10033K
60text-embedding-ada-002OpenAI$0.100Unknown$0.1008K
61text-embedding-ada-002azure$0.100Unknown$0.1008K
62text-embedding-ada-002azure-cognitive-services$0.100Unknown$0.1008K
63gpt-oss-20bOpenAI$0.018$0.090$0.108131K
64Llama 3.2 11B Vision InstructMeta$0.055$0.055$0.110128K
65Llama Guard 3 8BMeta$0.055$0.055$0.110131K
66Qwen3.5 4BAlibaba (Qwen)$0.040$0.070$0.110262K
67GLM Flash LatestZ.AI / Zhipu$0.040$0.078$0.1181.05M
68Nex AGI: Nex-N2.5-Minikilo$0.025$0.100$0.125262K
69Nex N2.5 Mininano-gpt$0.025$0.100$0.125262K
70Nex-N2.5-Miniopenrouter$0.025$0.100$0.125262K
71Granite 4.0 H Microcloudflare-workers-ai$0.017$0.112$0.129131K
72Mistral Small 3Mistral$0.050$0.080$0.13033K
73text-embedding-3-largeOpenAI$0.130Unknown$0.1308K
74Llama 3.1 8BMeta$0.050$0.080$0.130131K
75Synth 2.5 Flash Previewnano-gpt$0.030$0.100$0.13030K
76text-embedding-3-largesap-ai-core$0.130Unknown$0.1308K
77text-embedding-3-largeazure$0.130Unknown$0.1308K
78text-embedding-3-largeazure-cognitive-services$0.130Unknown$0.1308K
79DeepSeek V4 Flash 0731DeepSeek$0.045$0.090$0.1351.05M
80Model Routerazure$0.140Unknown$0.140200K
81Baichuan M2 32Bnovita-ai$0.070$0.070$0.140131K
82Model Routerazure-cognitive-services$0.140Unknown$0.140200K
83Nemotron 3.5 Lightning 30B A3BNVIDIA$0.025$0.120$0.145262K
84DeepSeek-V4.1-FlashDeepSeek$0.030$0.120$0.1501M
85DeepSeek V4.1 Flash 1017DeepSeek$0.030$0.120$0.1501.05M
86Gemini Embedding 001Google$0.150Unknown$0.1502K
87LFM2-24B-A2Btogetherai$0.030$0.120$0.15033K
88Gemma 3 12B ITGoogle$0.050$0.100$0.150131K
89Qwen3.7 FlashAlibaba (Qwen)$0.030$0.130$0.1601M
90DeepSeek R1 Distill Llama 70BMeta$0.030$0.130$0.16033K
91Ling 3.0 Flash Santeopenrouter$0.042$0.123$0.165262K
92Ling 3.0 Flash Finopenrouter$0.042$0.123$0.165262K
93Phi-4Microsoft$0.056$0.112$0.168128K
94Amazon: Nova Micro 1.0kilo$0.035$0.140$0.175128K
95Amazon: Nova Microkilo$0.035$0.140$0.175128K
96Nova Micro (US)amazon-bedrock$0.035$0.140$0.175128K
97Nova Microamazon-bedrock$0.035$0.140$0.175128K
98amazon--nova-microsap-ai-core$0.035$0.140$0.175128K
99Nova Microvercel$0.035$0.140$0.175128K
100Nova Microedenai$0.035$0.140$0.175128K

Showing top 100 of 1612. Use the full directory to see the rest.

Frequently asked questions

Why are output tokens more expensive than input tokens?

Generation is autoregressive — each output token requires a full forward pass conditioned on all previous tokens, which cannot be batched as efficiently as reading input tokens in parallel. The 3–5× premium most providers charge reflects this compute asymmetry.

What does 'per 1M tokens' mean in practice?

One million tokens is roughly 750,000 English words or 3,000 pages of standard text. A typical chatbot request uses 1,000–5,000 input tokens and 200–1,000 output tokens, so 1M tokens represents hundreds to thousands of requests depending on your workload.

Why are some models showing 'Unknown' instead of a price?

We deliberately do not coerce missing data to $0. 'Unknown' means the provider does not publish a public per-token rate — often models behind enterprise sales or invite-only access. Treating Unknown as free would push paid-but-unpriced models to the top of every cheap list.

How often do these prices change?

Vendor list-price moves are typically picked up within hours of an announcement, and our pipeline re-syncs daily. Each change is written to /changelog so you can audit historical pricing over time.

Does this include prompt caching or batch discounts?

No. The table shows standard headline rates only. Prompt caching (Anthropic, OpenAI) can reduce input cost by 50–90%. Batch API discounts (OpenAI) offer ~50% off for non-real-time workloads. Both are shown on each model's detail page.

Last updated:

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.