API cost decision in 10 seconds

NewQwen3.7 Max vs GPT-5.4 Pro

Pick Qwen3.7 Max for lower cost; pick GPT-5.4 Pro only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.7 Max for lower cost; pick GPT-5.4 Pro only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.7 Max is estimated at $6.25 vs $120 for GPT-5.4 Pro, saving $113.75 (94.8% lower).

Cost-first pickQwen3.7 Max
Context-first pickGPT-5.4 Pro
Sample savings$113.7594.8%
10x traffic gap$1137.5

GPT-5.4 Pro has more context, but Qwen3.7 Max saves $113.75 on the standard workload. At 10x that traffic, the same price gap is about $1137.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.7 Max stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.7 MaxGPT-5.4 Pro
Input-heavy / RAG5M input + 500K outputQwen3.7 Max$16.25$240
Balanced workload1M input + 1M outputQwen3.7 Max$10$210
Output-heavy chatbot1M input + 5M outputQwen3.7 Max$40$930
Cheaper input Qwen3.7 Max $2.5 vs $30 / 1M

Qwen3.7 Max is $27.5 cheaper per 1M input tokens (91.7% lower; 12x difference).

Cheaper output Qwen3.7 Max $7.5 vs $180 / 1M

Qwen3.7 Max is $172.5 cheaper per 1M output tokens (95.8% lower; 24x difference).

Larger context GPT-5.4 Pro 1M vs 1.05M

GPT-5.4 Pro has 50K more context (1.05x larger).

Sample workload Qwen3.7 Max $6.25 vs $120

Qwen3.7 Max is $113.75 cheaper on the standard workload (94.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.7 Max Calculating… Estimated API cost
GPT-5.4 Pro Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Qwen3.7 Max has the lower input price; Qwen3.7 Max has the lower output price; GPT-5.4 Pro offers the larger context window. For the 1M input plus 500K output sample, Qwen3.7 Max is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Qwen3.7 Max and $120 for GPT-5.4 Pro.

Best Fit

Choose Qwen3.7 Max when you care most about lower input-token price, and lower output-token price.

Choose GPT-5.4 Pro when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.7 Max is estimated at $6.25 vs $120 for GPT-5.4 Pro, saving $113.75 (94.8% lower).
  • Qwen3.7 Max is $113.75 cheaper on the standard workload (94.8% lower).
  • Qwen3.7 Max is $27.5 cheaper per 1M input tokens (91.7% lower; 12x difference).
  • Qwen3.7 Max is $172.5 cheaper per 1M output tokens (95.8% lower; 24x difference).
  • GPT-5.4 Pro has 50K more context (1.05x larger).
Head-to-Head Specs
FeatureNewQwen3.7 Max
(Qwen)
GPT-5.4 Pro
(OpenAI)
Input Price
prompt tokens per 1M
$2.5$30
Completion Price
per 1M tokens
$7.5$180
Sample Workload Cost
1M input + 500K output
$6.25$120
Context Window1M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.7 MaxOn the standard 1M input plus 500K output workload, Qwen3.7 Max is estimated at $6.25 vs $120 for GPT-5.4 Pro, saving $113.75 (94.8% lower).
High-volume input processingQwen3.7 MaxLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.7 MaxLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.4 ProA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Qwen catalog

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OpenAI catalog

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