Fast, affordable AI inference API with pay-per-token pricing and dedicated GPU compute
Context optimization for production AI
Stage
Not given
MVP
Founded
Not given
Not given
Based in
US
GB
Pricing model
Paid
Freemium
Pricing
Inference API: DeepSeek V4.1 Flash from $0.1275/M input tokens and $0.51/M output tokens. DeepSeek V4 Flash from $0.14/M input and $0.28/M output. DeepSeek V4 Pro 0813 from $0.561/M input and $1.683/M output. MiniMax M3 from $0.255/M input and $1.02/M output. GLM-5.3 from $1.19/M input and $3.74/M o
Free: 1M context tokens (one-time). Pro: $15/month for 100M tokens/month, $0.18 per extra 1M tokens. Scale: $49/month for 350M tokens/month, $0.15 per extra 1M tokens. 30% off Pro or Scale for the first year for early access teams.
Key features
Pay-per-token pricing with no subscriptions or minimums
Access to 10+ frontier open-source models including DeepSeek, MiniMax, GLM, Kimi and MiMo
OpenAI-compatible API for drop-in integration
NVIDIA B200 and B300 GPUs with speculative decoding
Multi-region deployment for low-latency responses
Zero cold start times with always-warm inference
SOC/2 approved infrastructure with zero data retention
Dedicated 8-GPU HGX nodes available prepaid for 12-36 months
Compatible with 20+ coding tools including Cursor and Claude Code
Vision analysis, web search and native tool calling built-in
Removes duplicate context and off-topic results
Works with any LLM provider
API and SDK integrations
Quality guard checks if kept context is sufficient
Local cleanup of tool output and JSON fields
Fallback to original context on service failure
Per-agent budgets and token limits
Savings report showing cost avoided
What makes it different
Industry-leading inference speed: 489 tokens per second on DeepSeek V4.1 Flash
Dramatically lower costs than competitors: $0.51 per million output tokens vs $10.00 for GPT-4o
First to deploy DeepSeek R1 at scale with 351 tokens per second
Enterprise-grade security with SOC/2, GDPR compliance and zero data retention
Reduces input tokens to LLMs by 56–71% on average
Optimizes in milliseconds without slowing requests