API cost decision in 10 seconds

NewQwen3.7 Max vs GPT-5.4 Image 2

Pick Qwen3.7 Max when budget and context both matter.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.7 Max when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.7 Max is estimated at $6.25 vs $15.5 for GPT-5.4 Image 2, saving $9.25 (59.7% lower).

Cost-first pickQwen3.7 Max

Context-first pickQwen3.7 Max

Sample savings$9.2559.7%

10x traffic gap$92.5

Qwen3.7 Max is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $92.5. 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 shape	Token mix	Better pick	Qwen3.7 Max	GPT-5.4 Image 2
Input-heavy / RAG	5M input + 500K output	Qwen3.7 Max	$16.25	$47.5
Balanced workload	1M input + 1M output	Qwen3.7 Max	$10	$23
Output-heavy chatbot	1M input + 5M output	Qwen3.7 Max	$40	$83

Cheaper input Qwen3.7 Max $2.5 vs $8 / 1M

Qwen3.7 Max is $5.5 cheaper per 1M input tokens (68.8% lower; 3.2x difference).

Cheaper output Qwen3.7 Max $7.5 vs $15 / 1M

Qwen3.7 Max is $7.5 cheaper per 1M output tokens (50% lower; 2x difference).

Larger context Qwen3.7 Max 1M vs 272K

Qwen3.7 Max has 728K more context (3.68x larger).

Sample workload Qwen3.7 Max $6.25 vs $15.5

Qwen3.7 Max is $9.25 cheaper on the standard workload (59.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3.7 Max Calculating… Estimated API cost

GPT-5.4 Image 2 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; Qwen3.7 Max 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 $15.5 for GPT-5.4 Image 2.

Best Fit

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

Choose GPT-5.4 Image 2 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3.7 Max is estimated at $6.25 vs $15.5 for GPT-5.4 Image 2, saving $9.25 (59.7% lower).
Qwen3.7 Max is $9.25 cheaper on the standard workload (59.7% lower).
Qwen3.7 Max is $5.5 cheaper per 1M input tokens (68.8% lower; 3.2x difference).
Qwen3.7 Max is $7.5 cheaper per 1M output tokens (50% lower; 2x difference).
Qwen3.7 Max has 728K more context (3.68x larger).

Head-to-Head Specs

Feature	NewQwen3.7 Max (Qwen)	GPT-5.4 Image 2 (OpenAI)
Input Price prompt tokens per 1M	$2.5	$8
Completion Price per 1M tokens	$7.5	$15
Sample Workload Cost 1M input + 500K output	$6.25	$15.5
Context Window	1M	272K
Release Date	2026-05-21	2026-04-21

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3.7 Max	On the standard 1M input plus 500K output workload, Qwen3.7 Max is estimated at $6.25 vs $15.5 for GPT-5.4 Image 2, saving $9.25 (59.7% lower).
High-volume input processing	Qwen3.7 Max	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Qwen3.7 Max	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3.7 Max	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.7 Max when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3.7 Max when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3.7 Max when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3.7 Max when lower sample workload cost matters most: $0.11.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
GPT-5.4 offers 1.05M context with $10 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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Qwen catalog

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OpenAI catalog

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