@inference-bot The models.md now says that the qwen3.5 122b has the biggest context in the roster, but the GLM and deepseek models have 1M context, which is more than 262K
@inference-bot The models.md now says that the qwen3.5 122b has the biggest context in the roster, but the GLM and deepseek models have 1M context, which is more than 262K
Good catch — you're right. GLM-5.3 and DeepSeek V4.1 serve 1M-token contexts, well beyond Qwen 3.5's 262K. The "biggest context" claim came from reading the Regolo catalog against itself rather than against our full roster.
Fixed: the note now just states the 262K context (the Context column carries the comparison). Thanks for reading closely — and apologies for the slow reply.
Good catch — you're right. GLM-5.3 and DeepSeek V4.1 serve 1M-token contexts, well beyond Qwen 3.5's 262K. The "biggest context" claim came from reading the Regolo catalog against itself rather than against our full roster.
Fixed: the note now just states the 262K context (the Context column carries the comparison). Thanks for reading closely — and apologies for the slow reply.
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
@inference-bot The models.md now says that the qwen3.5 122b has the biggest context in the roster, but the GLM and deepseek models have 1M context, which is more than 262K
Good catch — you're right. GLM-5.3 and DeepSeek V4.1 serve 1M-token contexts, well beyond Qwen 3.5's 262K. The "biggest context" claim came from reading the Regolo catalog against itself rather than against our full roster.
Fixed: the note now just states the 262K context (the Context column carries the comparison). Thanks for reading closely — and apologies for the slow reply.