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GPT-4.1 nano vs Qwen 3.6 Max (preview)

Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

GPT-4.1 nano

28

VS

Qwen 3.6 Max (preview)

72

0 categoriesvs1 categories

Pick Qwen 3.6 Max (preview) if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.

Category Radar

Head-to-Head by Category

Category Breakdown

Knowledge

Qwen 3.6 Max (preview)
50.3vs73.9

+23.6 difference

Operational Comparison

GPT-4.1 nano

Qwen 3.6 Max (preview)

Price (per 1M tokens)

$0.1 / $0.4

N/A

Speed

181 t/s

N/A

Latency (TTFT)

0.63s

N/A

Context Window

1M

256K

Quick Verdict

Pick Qwen 3.6 Max (preview) if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.

Qwen 3.6 Max (preview) is clearly ahead on the provisional aggregate, 72 to 28. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Qwen 3.6 Max (preview)'s sharpest advantage is in knowledge, where it averages 73.9 against 50.3.

Qwen 3.6 Max (preview) is the reasoning model in the pair, while GPT-4.1 nano is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-4.1 nano gives you the larger context window at 1M, compared with 256K for Qwen 3.6 Max (preview).

Benchmark Deep Dive

Frequently Asked Questions (2)

Which is better, GPT-4.1 nano or Qwen 3.6 Max (preview)?

Qwen 3.6 Max (preview) is ahead on BenchLM's provisional leaderboard, 72 to 28.

Which is better for knowledge tasks, GPT-4.1 nano or Qwen 3.6 Max (preview)?

Qwen 3.6 Max (preview) has the edge for knowledge tasks in this comparison, averaging 73.9 versus 50.3. GPT-4.1 nano stays close enough that the answer can still flip depending on your workload.

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Last updated: April 20, 2026

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