API cost decision in 10 seconds

Qwen3 VL 235B A22B Instruct vs GPT-5.5 Pro

Pick Qwen3 VL 235B A22B Instruct for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 VL 235B A22B Instruct for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 VL 235B A22B Instruct is estimated at $0.64 vs $120 for GPT-5.5 Pro, saving $119.36 (99.5% lower).

Cost-first pickQwen3 VL 235B A22B Instruct

Context-first pickGPT-5.5 Pro

Sample savings$119.3699.5%

10x traffic gap$1193.6

GPT-5.5 Pro has more context, but Qwen3 VL 235B A22B Instruct saves $119.36 on the standard workload. At 10x that traffic, the same price gap is about $1193.6. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 VL 235B A22B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Qwen3 VL 235B A22B Instruct	GPT-5.5 Pro
Input-heavy / RAG	5M input + 500K output	Qwen3 VL 235B A22B Instruct	$1.44	$240
Balanced workload	1M input + 1M output	Qwen3 VL 235B A22B Instruct	$1.08	$210
Output-heavy chatbot	1M input + 5M output	Qwen3 VL 235B A22B Instruct	$4.6	$930

Cheaper input Qwen3 VL 235B A22B Instruct $0.2 vs $30 / 1M

Qwen3 VL 235B A22B Instruct is $29.8 cheaper per 1M input tokens (99.3% lower; 150x difference).

Cheaper output Qwen3 VL 235B A22B Instruct $0.88 vs $180 / 1M

Qwen3 VL 235B A22B Instruct is $179.12 cheaper per 1M output tokens (99.5% lower; 204.5x difference).

Larger context GPT-5.5 Pro 262.14K vs 1.05M

GPT-5.5 Pro has 787.86K more context (4.01x larger).

Sample workload Qwen3 VL 235B A22B Instruct $0.64 vs $120

Qwen3 VL 235B A22B Instruct is $119.36 cheaper on the standard workload (99.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3 VL 235B A22B Instruct Calculating… Estimated API cost

GPT-5.5 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 VL 235B A22B Instruct has the lower input price; Qwen3 VL 235B A22B Instruct has the lower output price; GPT-5.5 Pro offers the larger context window. For the 1M input plus 500K output sample, Qwen3 VL 235B A22B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.64 for Qwen3 VL 235B A22B Instruct and $120 for GPT-5.5 Pro.

Best Fit

Choose Qwen3 VL 235B A22B Instruct when you care most about lower input-token price, and lower output-token price.

Choose GPT-5.5 Pro when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3 VL 235B A22B Instruct is estimated at $0.64 vs $120 for GPT-5.5 Pro, saving $119.36 (99.5% lower).
Qwen3 VL 235B A22B Instruct is $119.36 cheaper on the standard workload (99.5% lower).
Qwen3 VL 235B A22B Instruct is $29.8 cheaper per 1M input tokens (99.3% lower; 150x difference).
Qwen3 VL 235B A22B Instruct is $179.12 cheaper per 1M output tokens (99.5% lower; 204.5x difference).
GPT-5.5 Pro has 787.86K more context (4.01x larger).

Head-to-Head Specs

Feature	Qwen3 VL 235B A22B Instruct (Qwen)	GPT-5.5 Pro (OpenAI)
Input Price prompt tokens per 1M	$0.2	$30
Completion Price per 1M tokens	$0.88	$180
Sample Workload Cost 1M input + 500K output	$0.64	$120
Context Window	262.14K	1.05M
Release Date	2025-09-23	2026-04-24
Popularity	#103	#122

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3 VL 235B A22B Instruct	On the standard 1M input plus 500K output workload, Qwen3 VL 235B A22B Instruct is estimated at $0.64 vs $120 for GPT-5.5 Pro, saving $119.36 (99.5% lower).
High-volume input processing	Qwen3 VL 235B A22B Instruct	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Qwen3 VL 235B A22B Instruct	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT-5.5 Pro	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 VL 235B A22B Instruct when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 VL 235B A22B Instruct when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 VL 235B A22B Instruct when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3 VL 235B A22B Instruct 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 offers 2M context with $2.5 sample workload cost.
Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.

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Provider catalogs

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Qwen catalog

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OpenAI catalog

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Qwen3 VL 235B A22B Instruct

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...

GPT-5.5 Pro

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...