Unverified50% confidenceOpinionExact time
Qwen 3 Coder 480B (0.875 vs 0.8125) clearly outperforms the larger general-purpose model Qwen 3 235B (0.8125 vs 0.6875), showing that models trained specifically for code have a real advantage on this type of task.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/12/2026
First Seen
Valid until: 10/26/2026
Sources
Related Entities
Related Claims
VerifiedThe reviewer believes that Qwen3.8 27B is stronger than the previous generation Qwen3.7 in almost all aspects of coding capability.79% similarUnverifiedQwen 2.5 Coder, with only 32B parameters, matched the larger general-purpose model GPT-4o, indicating that code-specialized training has a punch-above-its-weight effect on complex array shape and broadcasting errors.79% similarUnverifiedUsing QLoRA on A100 and RTX PRO 6000, training speed for Qwen3.5-35B-A3B can be improved by up to 4.1×, and for Qwen3-30B-A3B by up to 3.3×.78% similarUnverifiedQwen 3 Coder 480B, with 480B parameters the largest model in the test, came in last with a score of 0.68 (25/37).77% similarUnverifiedQwen2.5-Coder 7B is one of the strongest models in terms of coding capability at the 7B level, with approximately 5 GB of VRAM usage after Q4 quantization.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1007726API
curl https://kongchang.com/api/v1/knowledge/claims/1007726MCP
get_claim(id=1007726)