GPT-6 Astra in Practice: Tests, Use Cases, and Feedback

Kimi 3.1 Pro rose to fourth globally on the AA leaderboard, above GPT-6 Astra, but the author says its ¥199 tier's 5-hour limit lasts only 20 minutes and the ¥699 plan is stingier than $20 Claude Pro.

The author says GPT-6 Astra has noticeably degraded, misinterpreting as an image a question that even domestic Chinese models can understand.

A developer used GPT-6 Astra to add full IQ/Q2–Q8 GGUF quantization support to vLLM in five hours, beating llama.cpp by ~30% at batch size 8, though only Qwen3.5 on Ampere GPUs was tested.

Moonshot released Kimi K3.1 Pro, scoring 55 on Artificial Analysis and reportedly beating GPT-6 Astra and Gemini 4, with API pricing at $2 input / $10 output.

The open-weight K3.1 Pro trails Claude Opus 5.5 by just 0.7 points on Terminal-Bench 4.0 while scoring above GPT-6 Astra and Fable 5.1.

Unitree tested GPT-6 Astra with no task-specific training: robots painted from prompts, swapped paint, cleaned brushes and placed Go stones, though precision assembly still fails.

Moonshot released Kimi K3.1 Pro, claiming a 65.7% Terminal-Bench 4.0 score versus 58.2% for OpenAI's GPT-6 Astra.

A user finds Sol 6.1 well balanced on cost and speed for small tasks but wants Astra 6.1 to arrive immediately.

A user plans to try making cosplay costumes with GPT-6 Astra Pro and worries the quota will run out quickly.

The post cites Kimi K3.1 Pro's 55 AA Intelligence Index and top Terminal-Bench 4.0 score, saying it beats GPT-6 Astra, plus MoE specs and API pricing.

A reply notes that on this Intelligence Index Gemini 3.7 Flash outranks GPT-6 Astra, and about half the tasks are private.

The author argues that with Kimi K3.1 Pro's release, open-weight models have fallen further behind frontier models like Opus 5.5 and Astra 6, while Haiku 5.5 and Luna 6 offer better coding at lower cost.