Fireworks AI 推出 FireRouter with Opus 路由模型
Introducing FireRouter with Opus
Fireworks AI 发布 FireRouter with Opus，这是首个缓存感知路由器，已在 CLI 上线，并首次作为独立路由模型提供，任何 Fireworks 账号都可将其作为 serverless 端点调用。该路由器在 Claude Opus 5.5、GLM 5.3 和 GLM 5.3 Flash 之间按任务适配度、提示词缓存成本和切换代价选择模型。内部一个多月的 A/B 测试显示，编码任务每次会话成本从 15.36 美元降至 6.63 美元，降幅 57%（±19 个百分点），准确率为纯 Opus 的 98.1%，缓存命中率 94.2%，纯 Opus 为 97.8%。
推荐理由
AI 评分 71
原文给出内部 A/B 测试的成本与准确率对比，读者可据此判断缓存感知路由在编码任务中的取舍。
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Fireworks Nexus enables engineering teams to drop leading open models in the harnesses they already use and cut spend in half without sacrificing speed or quality. The solution includes FireRouter, the first cache-aware router on the market, which makes a big difference in speed and cost.
Today, we’re introducing FireRouter with Opus, optimized for the Opus family and now available in both our CLI and, for the first time, as a standalone router model. Any Fireworks account can point to it as a serverless endpoint as you would any other model.
After more than a month of internal A/B testing, FireRouter with Opus executes coding tasks at 98.1% of the accuracy for 57% lower cost versus Opus alone.
What FireRouter is
Today, FireRouter with Opus routes between Claude Opus 5.5, GLM 5.3, and GLM 5.3 Flash
Each user turn that hits FireRouter gets evaluated on how well each model in the set is suited for the task. It then estimates the cost of each model handling the task, including the cost of the prompt cache and whether losing it to switch to a different model is worth it. And finally, it routes to the model that best balances quality against cost.
At the moment, a user turn will be routed between Claude Opus 5.5, GLM 5.3, and GLM 5.3 Flash. The model set will change as new models and versions launch.
The results
Our internal coding traffic was on sessions randomly assigned to FireRouter with Opus or to an Opus-only control group, across the same workloads and users.
Cost per session fell 57% (±19 ppts), from $15.36 to $6.63.
To score the accuracy, we verified whether the agent finished the work, whether the right answer was reached, and whether the user had to make any corrections on the next turn.
FireRouter with Opus scored 78.7% of graded turns against 80.2% for Opus-only, or 98.1% of its overall accuracy.
Most of our traffic came from internal coding work, where open models could handle many routine turns. FireRouter’s cache-aware routing weighed the savings from switching models against the cost of losing cache hits. The result was a 94.2% cache hit rate with FireRouter and Opus, compared to 97.8% with Opus alone– a small, deliberate tradeoff that substantially reduced overall cost.
Two lines to try it
12fireconnect loginfireconnect claude --model firerouter/opus
Log in to Fireworks to see estimated savings on your team’s Claude Opus spend.