At 95% less per token, your agents can do 20x more.
Most agent tasks — research, analysis, content generation — don't need millisecond latency. Doubleword gives you the same models at a fraction of the cost, with SLAs built for how agents actually work.
Real-time APIs are built for chatbots, not agents.
Every major inference provider optimizes for the same thing: delivering tokens as fast as possible. That makes sense when a human is waiting (like in a chatbot). It doesn't make sense when your agent is looping through 100+ tool calls in the background. You're paying a premium for latency you don't need.
The cost difference is massive
Output price per 1M tokens · Qwen3.5-397B class models
Anthropic
Claude Opus 4.5 · Realtime
OpenAI
GPT-5.2 · Realtime
Industry Avg
Qwen3.5-397B · Realtime
Doubleword
Qwen3.5-397B · Async
Prices from Artificial Analysis · Comparable intelligence-class models · Doubleword Async tier
A single agent run on Claude Sonnet can cost $5–15. On Doubleword, it costs pennies.
Why teams choose Doubleword for high volume agentic workloads
Up to 95% cheaper
Purpose-built for throughput, not latency. We optimize every layer of the stack for cost per token — and pass the savings to you.
Real-time speed for agents
After a short warm-up, Doubleword streams tokens in real time. Your agent doesn't notice the difference — your bill does.
Full tool call support
Tool calls, function calling, structured generation. Your agent logic works unchanged — loops, branching, multi-step reasoning.
One-line migration
OpenAI-compatible API. Swap your base URL. Keep your code.
Real-time APIs vs Doubleword
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