Two ways to put frontier AI to work without giving up control of your data: consume models through the IG1 AI API, or run your own FullStack AI platform.
Sovereign API
Frontier models through a sovereign API hosted in France. No infrastructure to set up — applications connect instantly.
Monthly subscription
Dedicated platform
Your own private AI platform: sovereign infrastructure, intelligent software, and expert support, deployed securely at scale.
Starting at
A flat monthly subscription with usage included, per-token rates beyond it, and a ceiling you control. Light months stay light, heavy months stay capped.
100 € / month
Flat subscription that includes 100 € of usage across every model in the catalog.
Per-token rates
Beyond the included allowance, usage is metered at the published rates below.
1 000 € ceiling
Applies to the 100 € subscription and scales with higher tiers. When you reach it, access pauses until the next billing cycle. You are never charged beyond it.
Billed on the 1st
Previous month’s overage plus the coming month’s subscription, by SEPA direct debit or saved card.
Transparent per-token pricing. All models are sovereign, hosted in France, with no hidden fees and no minimum commitment.
| Model | Description | 1M Input Tokens | 1M Cached Input Tokens | 1M Output Tokens |
|---|---|---|---|---|
 GLM-5.3-Flashglm53-flash-chat |
Natively multimodal efficient frontier model (video, image, text, file) for reasoning, code and agentic workflows. Max context: 1M tokens, 128K output. Also available as glm53-flash-chat-low, glm53-flash-agent and glm53-flash-agent-low at the same price. | 0,35 € | 0,09 € | 1,15 € |
 Qwen 3.6 35Bqwen36-35b-a3b-instruct |
Efficient Mixture-of-Experts model (35B parameters, 3B active) for production chat, code, extraction, and multi-turn workflows. Default instruct profile. Max context: 256K tokens. | 0,30 € | 0,06 € | 1,00 € |
Qwen 3.6 35B Thinkingqwen36-35b-a3b-thinking-general |
Same as Qwen 3.6 35B with thinking mode enforced for structured reasoning and analysis. | 0,30 € | 0,06 € | 1,00 € |
Qwen 3.6 35B Thinking Coderqwen36-35b-a3b-thinking-coding |
Qwen 3.6 35B configured for advanced coding, refactoring, debugging, and thinking-enforced development workflows. | 0,30 € | 0,06 € | 1,00 € |
| BGE-m3 | Text embeddings for RAG and semantic search. | 0,05 € | N/A | N/A |
| BGE-reranker-v2-m3 | Reranking for search result optimization. | 0,30 € | N/A | N/A |
| Qwen3-VL-Embedding-8B | Multimodal embeddings (text and images) for RAG and visual semantic search. | 0,30 € | N/A | N/A |
| Document | Convert any document in Markdown to be used by LLM. Useful for CAG – Cached RAG including vision RAG use cases. Document images are described as text by Qwen 3.6 35B. | N/A | N/A | 2,00 € |
When an AI agent works on a task — reviewing code, fixing a bug across files, running a long conversation — it sends the same context again and again: your instructions, the files it is working on, everything said so far. Only a small part is actually new each time.
With input caching, IG1 AI keeps what it has already read and processes only what is new. Responses start sooner, and the repeated context is billed at the cached input rate — about a quarter of the normal input price on GLM 5.3 Flash (0,09 € vs 0,35 €), a fifth on Qwen 3.6 35B (0,06 € vs 0,30 €).
Example — an agentic coding session on GLM 5.3 Flash: 100 API calls, ~20,000 tokens of context re-sent at each call, 65% cache hit rate.
| Without caching | With caching | |
|---|---|---|
| Input tokens billed at full rate | 2.0 M | 0.7 M |
| Input tokens billed at cached rate | — | 1.3 M |
| Input cost | 0,70 € | 0,36 € |
| Session total (incl. 25K output tokens) | 0,73 € | 0,39 € |
−48% on input cost, −46% on the session — and a faster first token.
Caching is automatic on every IG1 AI language model — nothing to configure. Each response’s token usage shows exactly how many input tokens were served from the cache.
| Model | Description | 1M Input Tokens | 1M Output Tokens |
|---|---|---|---|
| Qwen Image |
Image generation. Token count based on image resolution and quality level. | 0 € | 0,002 € |
| Qwen Image PE |
Image generation with Prompt Enhancing by LLM. Prompt enhancement uses Qwen 3.6 35B (charged separately). Token count based on resolution and quality level. | 0 € | 0,002 € |
| Qwen Image Edit |
Image editing. Token count based on source and generated image resolution and quality level. | 0 € | 0,002 € |
| Qwen Image Edit PE |
Image editing with Prompt Enhancing by LLM. Prompt enhancement uses Qwen 3.6 35B (charged separately). Token count based on source and generated image resolution and quality. | 0 € | 0,002 € |
Choose the deployment model that fits your needs. Scale up anytime.
Starting at
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