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Best Qwen Plus 0728 (thinking) alternatives

Users may seek alternatives to Qwen Plus 0728 (thinking) to address its text-only modality, potential hallucinations on niche facts, or to compare options with varying speeds, prices, and context sizes. This list covers seven alternatives focused on large-context handling similar to the base model's 1000000 tokens.

It provides a lower output price of $0.18 /1M versus $0.78 /1M and faster speed at 103.73 t/s with context 1048576, though limited to text-only like the base with intelligence_index 46.5.

Intelligence: 46.5Output speed: 104 t/sOutput price: $0.18/1MContext: 1049K

It matches the base's focus on long inputs and coding with intelligence_index 51.5 and context 1048576 but at a higher price of $0.87 /1M and slower speed of 79.81 t/s.

Intelligence: 51.5Output speed: 80 t/sOutput price: $0.87/1MContext: 1049K

It offers a free option at $0 /1M with context 1048756 for extended text tasks, trading off proprietary access and potential latency increases against the base's open-weight availability.

Output price: FreeContext: 1049KType: ProprietaryProvider: Openrouter

NVIDIA's closed LLM for million-token text processing.

Output price: $0.45/1MContext: 1000KType: ProprietaryProvider: NVIDIA

Qwen3.7 Max processes up to one million tokens in a single pass.

Intelligence: 56.6Output speed: 197 t/sOutput price: $3.75/1MContext: 1000K

It emphasizes coding specialization with context 1000000 at $3.25 /1M, offering structured outputs for programming as an edge over the base while being less focused on general domains.

Output price: $3.25/1MContext: 1000KType: Open-weightProvider: Alibaba Qwen

Open-weight coding LLM with 1M-token context for large codebases.

Output price: $1.80/1MContext: 1049KParams: 480BType: Open-weight

Routes complex code tasks through optimal models with 2M-token context.

Output price: FreeContext: 2000KType: ProprietaryProvider: Openrouter

Frequently asked questions

DeepSeek V4 Pro stands out with the highest listed intelligence_index of 51.5 and strong coding performance on long inputs.