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No weight adjustment, pure API tuning: Poetiq "plugin" boosts Kimi by 29.9 percentage points, lightweight Gemini counterattacks Claude Opus
Test results indicate that this decoupled plugin approach significantly improves weaker models. After integrating Poetiq system, Kimi K2.6's accuracy skyrocketed from 50.0% to 79.9%, an absolute score increase of 29.9 percentage points; lightweight Gemini 3.0 Flash improved by 10 points, not only surpassing its larger version Gemini 3.1 Pro but also defeating the "bigger and more expensive" Claude Opus 4.7 and GPT 5.2 High, as claimed by Poetiq.
In terms of pushing performance limits, GPT 5.5 High, originally scoring 89.6%, reached a new height of 93.9% with the plugin; while the basic Gemini 3.1 Pro, paired with this plugin, scored 90.9%, directly surpassing Google's most powerful reasoning model Gemini 3 Deep Think (88.8%) which has not yet opened its API.
Poetiq team stated that traditional fine-tuning locks the improvement effects onto a single model, whereas their seamless plug-and-play system allows enterprises to avoid the high costs of fine-tuning and deploying full-capacity models solely for reasoning capabilities.
(Source: BlockBeats)