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comparison

Qwen3 Max vs GLM 4.6

Token pricing, context window and real monthly cost, side by side. GLM 4.6 is the cheaper of the two for a typical workload — about 2.1× less.

cheaper for a typical workload
GLM 4.6
saves 51% vs Qwen3 Max at 1,500 in / 500 out × 200,000/mo
Qwen3 Max $624/mo
GLM 4.6 $303/mo
Qwen3 Max versus GLM 4.6 specifications and price.
metric Qwen3 Max GLM 4.6
Input / 1M $0.78 $0.43
Output / 1M $3.90 $1.74
Context 262K 203K
Cost @ typical workload $624/mo $303/mo
Modality Text only Text only
Price source routed routed
Provider Qwen Z.AI

Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →

Which should you pick?

On a typical workload, GLM 4.6 costs $303/mo against Qwen3 Max's $624/mo — roughly 2.1× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. If you need to fit more in a single prompt, Qwen3 Max has the larger 262K-token window (~393 pages).

These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures.

Frequently asked questions

Is Qwen3 Max or GLM 4.6 cheaper?

For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), GLM 4.6 costs $303/mo versus $624/mo for Qwen3 Max — about 2.1× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.

What's the main difference between Qwen3 Max and GLM 4.6?

On price, Qwen3 Max is $0.78/$3.90 per 1M (in/out) and GLM 4.6 is $0.43/$1.74. Qwen3 Max has the larger context window at 262K tokens.

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