Is Qwen3.8 27B Thinking or Llama-xLAM-2 70B fc-r cheaper?

Qwen3.8 27B Thinking is cheaper on output tokens ($0.70 vs $2.50 per 1M).

Which has the larger context window, Qwen3.8 27B Thinking or Llama-xLAM-2 70B fc-r?

Qwen3.8 27B Thinking has the larger context window (1M tokens).

Qwen3.8 27B Thinking vs Llama-xLAM-2 70B fc-r

Qwen3.8 27B Thinking is cheaper on output tokens, while Qwen3.8 27B Thinking offers a larger context window. Choose Qwen3.8 27B Thinking or Llama-xLAM-2 70B fc-r based on the trade-off between cost, context, and the benchmarks that matter for your use case.

Spec	Qwen3.8 27B Thinking	Llama-xLAM-2 70B fc-r
Provider	NanoGPT	NanoGPT
Input / 1M tokens	$0.15	$2.50
Output / 1M tokens	$0.70	$2.50
Context window	1M	128K
Parameters	—	—
Open weights	Yes	Yes
Released	Aug 2026	Apr 2025

Qwen3.8 27B Thinking details →Llama-xLAM-2 70B fc-r details →

FAQ

Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.