Is Qwen3 VL 235B A22B Thinking or Llama-xLAM-2 70B fc-r cheaper?

Llama-xLAM-2 70B fc-r is cheaper on output tokens ($2.50 vs $6.00 per 1M).

Which has the larger context window, Qwen3 VL 235B A22B Thinking or Llama-xLAM-2 70B fc-r?

Qwen3 VL 235B A22B Thinking has the larger context window (131K tokens).

Qwen3 VL 235B A22B Thinking vs Llama-xLAM-2 70B fc-r

Llama-xLAM-2 70B fc-r is cheaper on output tokens, while Qwen3 VL 235B A22B Thinking offers a larger context window. Choose Qwen3 VL 235B A22B 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 VL 235B A22B Thinking	Llama-xLAM-2 70B fc-r
Provider	NanoGPT	NanoGPT
Input / 1M tokens	$0.50	$2.50
Output / 1M tokens	$6.00	$2.50
Context window	131K	128K
Parameters	—	—
Open weights	Yes	Yes
Released	Sep 2025	Apr 2025

Qwen3 VL 235B A22B 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.