Expired50% confidenceEventExact time
In a multi-tool joint call test, LFM2.5 correctly made two tool calls, consuming 4,643 tokens and taking 13.3 seconds; whereas GPT-o3s made four repeated calls, consuming 13,826 tokens and taking 33.1 seconds.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
LFM2.5 Local Deployment Hands-On: An 8B Parameter Model That Outperforms GPT-o3s in Tool Calling
bilibiliAGI_Ananas6/1/2026
Related Claims
UnverifiedIn the flight simulator test, GPT 5.5 completed the task using approximately 66,000 tokens and 15 minutes, while Opus 4.7 consumed approximately 200,000 tokens and 18 minutes.73% similarUnverifiedIn testing on an RTX 5080, the BF16 baseline took approximately 4.651 seconds per sample, while the selective FP8 approach took approximately 3.651 seconds, a speedup of approximately 22%.70% similarUnverifiedClaude or GPT-4 may need 30 seconds or even longer when handling complex multi-file refactoring tasks69% similarUnverifiedAccording to data from Metra, GPT-3.5 can handle tasks that a human expert would complete in about 30 seconds, GPT-4 improved this to about 4 minutes, and Claude 3.5 Sonnet can autonomously complete tasks estimated to take a human expert 12 hours.65% similarUnverifiedIn a 40-hour long-task test, GPT-5.6 was able to work continuously for extended periods without losing its objective, as long as the task boundaries were clearly defined.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/49062API
curl https://kongchang.com/api/v1/knowledge/claims/49062MCP
get_claim(id=49062)