Need to distill long documents fast? We compare GPT-5.2 and Gemini 3 Flash on summarization quality, accuracy, and speed to find the right model for your workflow.
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Task-specific scoring for summarization workloads across 5 dimensions.
| Dimension | GPT-5.2 | Gemini 3 Flash | Edge |
|---|---|---|---|
| Key Point Extraction | Reliably identifies the most important information. Occasionally includes less relevant details. | Good at extracting key points quickly. Can miss nuance in complex documents. | |
| Brevity | Produces concise summaries when instructed. Slightly verbose by default. | Naturally brief. Fast at generating short summaries though sometimes too terse. | |
| Factual Accuracy | Generally faithful to source material with occasional subtle paraphrasing shifts. | Reliable accuracy for straightforward content. Can introduce minor inaccuracies on technical material. | |
| Structure | Clean, well-organized summaries with headers and bullets when appropriate. | Adequate structure. Less consistent at adapting format to content type. | |
| Technical Content | Good with technical documents though may over-simplify specialized terms. | Handles Google ecosystem documentation well. Less reliable on niche technical domains. | tie |
Pick GPT-5.2 for polished summaries of reports, articles, and documents where accuracy and readability matter.
Pick Gemini 3 Flash for summarizing very long documents (exceeding 128K tokens), high-volume batch summarization, and quick overviews where speed outweighs polish.
GPT-5.2 produces higher-quality summaries with better accuracy and structure. Gemini 3 Flash's speed and 1M-token context make it the better choice for high-volume summarization or processing very long documents where speed is the priority.
Use LLMWise Compare mode to test GPT-5.2 vs Gemini 3 Flash on your own summarization prompts.
You only pay credits per request. No monthly subscription. Paid credits never expire.
Replace multiple AI subscriptions with one wallet that includes routing, failover, and optimization.