comparison

GPT-5.4 mini vs Qwen3 Max

Token pricing, context window and real monthly cost, side by side. Qwen3 Max is the cheaper of the two for a typical workload — about 1.1× less.

cheaper for a typical workload
Qwen3 Max
saves 8% vs GPT-5.4 mini at 1,500 in / 500 out × 200,000/mo
GPT-5.4 mini $675/mo
Qwen3 Max $624/mo
GPT-5.4 mini versus Qwen3 Max specifications and price.
metric GPT-5.4 mini Qwen3 Max
Input / 1M $0.75 $0.78
Output / 1M $4.50 $3.90
Context 400K 262K
Cost @ typical workload $675/mo $624/mo
Modality text + image Text only
Price source list routed
Provider OpenAI Qwen

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

Which should you pick?

On a typical workload, Qwen3 Max costs $624/mo against GPT-5.4 mini's $675/mo — roughly 1.1× 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, GPT-5.4 mini has the larger 400K-token window (~600 pages). Only GPT-5.4 mini accepts image input — decisive if your prompts include images.

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 GPT-5.4 mini or Qwen3 Max cheaper?

For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), Qwen3 Max costs $624/mo versus $675/mo for GPT-5.4 mini — about 1.1× 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 GPT-5.4 mini and Qwen3 Max?

On price, GPT-5.4 mini is $0.75/$4.50 per 1M (in/out) and Qwen3 Max is $0.78/$3.90. GPT-5.4 mini has the larger context window at 400K tokens. GPT-5.4 mini also accepts image input, while Qwen3 Max is text-only.

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