Cut Token Costs
Keep The Quality
SOMA compresses context and CoT before they reach the model - fewer tokens in, the same output quality out.
Acompressionlayerthatcutstokencostswithoutcutting outputquality
AIteamsarepayingforrepeatedcontext,notbetterintelligence
Traditional prompt1x
RAG + retrieval5x
Agent workflow10-50x
Compresscontextbeforeitreachesthemodel
Context Compression
CoT Compression
Quality Preserved
Save Tokens
Daily saved tokens
Supported Models
| MODEL | OR PRICING | WITH SOMA | SAVINGS |
|---|---|---|---|
Deepseek V4 ProAvailable deepseek/deepseek-v4-pro | $1.19 / 1M | ~10% off | |
GPT-5.3 Codex openai/gpt-5.3-codex | Coming soon | ||
Claude Sonnet 5 anthropic/claude-sonnet-5 | Coming soon | ||
GPT-5.5 Pro openai/gpt-5.5-pro | Coming soon | ||
Qwen 3 Coder qwen/qwen3-coder | Coming soon | ||
