Unverified50% confidenceBenchmarkExact time
In the evaluation, enabling the full context window (256K) raised the small model's task success rate from 26% to 53%.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/30/2026
First Seen
Valid until: 1/28/2027
Sources
Agentic Coding with Small Models: 100x Lower Cost, Double the Success Rate
youtubeAndroid Developers10/30/2026
Related Entities
Related Claims
UnverifiedIn the experiment, the 27B model scored 61.0% on LiveMath when skills were written by the 4B model, whereas it scored 56.3% when it wrote the skills itself68% similarUnverifiedAccordion improves by an average of 3.01 percentage points across 37 tasks.66% similarUnverifiedIn closed-loop experiments on RoboChallenge Table30-V2, after three rounds of deployment-training cycles, LoopWAM's success rate increased from 23.67% to 43.33%, an improvement of 19.7 percentage points, with a final score of 56.80.65% similarUnverifiedA model with approximately 27B parameters achieved a score of 52 running on a laptop, demonstrating that high-quality models are penetrating edge and lightweight devices.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1117971API
curl https://kongchang.com/api/v1/knowledge/claims/1117971MCP
get_claim(id=1117971)