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Token Pricing

Transparent pricing for all AI models and services across input and output tokens.

Transparent pricing for all AI models and services across input and output tokens.

Language models

Chat completion and text generation models.

ModelDescriptionInput / 1MOutput / 1M
GreenLLightweight, efficient language model.€0.25€0.80
GreenRReasoning-optimized language model.€0.35€0.95
gemma4Long-context multimodal model (256k). Public Preview.€0.50€1.50

Chat models

Direct provider chat models available through the GreenPT API proxy, per 1M tokens.

The Cached input column is what a prompt-cache hit costs on that model. Repeated prompt prefixes are served from cache automatically and billed at that lower rate; a dash means the model has no cache discount and bills every input token at the full rate. See Prompt caching. Output tokens are never discounted by prompt caching.

ModelInput / 1MCached input / 1MOutput / 1M
glm-5.2€1.10€0.275€4.40
glm-5.2-caveman / -honey / -ponytail (compression variants, incl. -lite and -ultra)€1.10€0.275€4.40
kimi-k3€3.30€0.825€16.50
kimi-k2.7-code€0.79€0.165€3.85
kimi-k2.6€0.66€0.22€3.75
minimax-m2.5€0.17€0.055€0.99
deepseek-v4-flash-0731€0.14€0.04€0.35
llama-3.3-70b-instruct€1.10€1.10
gemma-3-27b-it€0.30€0.60
devstral-2-123b-instruct-2512€0.50€2.40
qwen3-235b-a22b-instruct-2507€0.90€2.70
mistral-small-3.2-24b-instruct-2506€0.20€0.40
qwen3-coder-30b-a3b-instruct€0.25€0.95
qwen3.5-397b-a17b€0.70€4.35
qwen3.6-35b-a3b€0.30€1.80
mistral-medium-3.5-128b€1.80€9.00
holo2-30b-a3b€0.35€0.85
pixtral-12b-2409€0.25€0.25
gpt-oss-120b€0.20€0.70
voxtral-small-24b-2507€0.20€0.45

Vector & search models

Embedding and reranking services.

Note: embedding and reranking models only charge for input tokens. There are no output token costs for these services.

ModelDescriptionPrice / 1M tokens
Green EmbeddingText vectorization and semantic search.€0.20
qwen3-embedding-8bLarger multilingual embedding model.€0.25
Green RerankDocument reranking and relevance scoring.€0.12

Speech-to-text models

Audio transcription services (priced per second).

New pricing, now live: the per-hour model rates below are updated and in effect today. The add-on features are a separate launch promo and free for now.

Limited promo: 50% off (July & August 2026)

All speech-to-text model rates are half price through 31 August 2026. The promo column below shows the discounted rate.

ModelModeRegular ratePromo (Jul–Aug 2026, −50%)
GreenSPre-recorded audio (batch)€0.23 / hour€0.12 / hour
GreenSLive audio (real-time)€0.31 / hour€0.16 / hour
GreenS ProMonolingual: pre-recorded€0.23 / hour€0.12 / hour
GreenS ProMonolingual: live audio€0.31 / hour€0.16 / hour
GreenS ProMultilingual: pre-recorded€0.28 / hour€0.14 / hour
GreenS ProMultilingual: live audio€0.37 / hour€0.19 / hour

Additional features

Launch promo: the speech-to-text add-ons below are free right now. The prices shown are the standard per-hour rates that apply once the promo ends; you are not charged for them today.

FeatureRate (promo: free now)
Redaction€0.10 / hour
Entity detection€0.08 / hour
Streaming diarization (live audio)€0.10 / hour
Keyterm prompting€0.07 / hour

Speaker diarization is included free for pre-recorded audio. Multichannel audio is billed per channel, so 2-channel audio is charged at double the per-hour rate.

Note: embedding, reranking, and speech-to-text services don't generate output tokens. They're billed only on input.

Token usage examples

A request is billed on the tokens it sends plus the tokens it generates, so the cost of a call follows from the rates above. As a rule of thumb, 1,000 tokens is roughly 750 words of English text. A few worked examples:

ExampleModelInput tokensOutput tokensCost
A short question and answergreen-l300150€0.0002
A page of text summarizedgemma48,000500€0.0048
An analysis with reasoninggreen-r2,000800€0.0015
A coding turn on a warm cacheglm-5.220,000 (15,000 cached)1,200€0.0149
A full repository file read into the promptglm-5.2100,0002,000€0.1188

Two details the examples above show:

  • Reasoning tokens are output tokens. What the model generates while thinking is included in completion_tokens and billed at the output rate.
  • Cached input is cheaper. In the coding example, 15,000 of the 20,000 input tokens are a repeated prompt prefix, billed at glm-5.2's cached rate of €0.275 instead of €1.10. See Prompt caching.

Services that don't generate tokens are billed the same way, on input alone: embedding 500,000 tokens with Green Embedding costs €0.10, reranking 200,000 tokens with Green Rerank costs €0.024, and transcribing an hour of pre-recorded audio with GreenS costs €0.23 (€0.12 during the promo).

Agents

Agent runs have no per-run price; a run is billed as the sum of what it consumes, at the same rates as direct API calls:

ComponentBilled as
Reasoning steps and image analysisInput + output tokens of the model used
Meeting transcriptionSpeech-to-text seconds
web_search, web_crawl, document_parseFree

Creating a run requires a positive credit balance; see Agents → Billing for how costs accrue during a run.

Pricing notes

  • All prices are in EUR and exclude applicable taxes.
  • Token counting follows OpenAI-compatible standards.
  • On models with a cached-input rate, repeated prompt prefixes are billed at that rate instead of the full input rate. It applies automatically, and the response reports the count on usage.prompt_tokens_details.cached_tokens. See Prompt caching.
  • Speech-to-text pricing is based on audio duration, not tokens.
  • Output tokens are typically priced higher than input tokens.
  • Embedding and reranking models only charge for input tokens (no output costs).
  • Volume discounts available for enterprise customers.
  • Prices subject to change with 30 days notice.

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