Unverified50% confidenceFactExact time
The single-output limit of most frontier language models is between 64,000 and 256,000 tokens.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedTraining a language model from scratch under VRAM-constrained conditions typically involves choosing architectures with a smaller parameter count, usually on the order of 100 million to 500 million parameters.67% similarUnverified同一段文字在不同模型中消耗的 token 数量可能相差 10%-30%65% similarUnverifiedThe single-response output limit for most large language models is concentrated in the range of several thousand to tens of thousands of tokens.64% similarVerifiedThe price of output tokens is typically 4–6 times that of input tokens, stemming from the computational differences between the prefill and decode phases, with GPU utilization during the decode phase potentially being only 10–20% of that during prefill63% similarUnverifiedPast Gemini output was limited to approximately 64,000 tokens, and most current frontier models cap a single response at approximately 128,000 tokens; Argon raises the output limit to 1 million tokens.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1020638API
curl https://kongchang.com/api/v1/knowledge/claims/1020638MCP
get_claim(id=1020638)