API cost decision in 10 seconds

Qwen3.6 27B vs 🔥GPT-5.5

Pick Qwen3.6 27B for lower cost; pick GPT-5.5 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 Qwen3.6 27B for lower cost; pick GPT-5.5 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.6 27B is estimated at $1.3 vs $20 for GPT-5.5, saving $18.7 (93.5% lower).

Cost-first pickQwen3.6 27B
Context-first pickGPT-5.5
Sample savings$18.793.5%
10x traffic gap$187

GPT-5.5 has more context, but Qwen3.6 27B saves $18.7 on the standard workload. At 10x that traffic, the same price gap is about $187. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.6 27B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.6 27BGPT-5.5
Input-heavy / RAG 5M input + 500K output Qwen3.6 27B $2.5 $40
Balanced workload 1M input + 1M output Qwen3.6 27B $2.3 $35
Output-heavy chatbot 1M input + 5M output Qwen3.6 27B $10.3 $155
Cheaper inputQwen3.6 27B$0.3 vs $5 / 1M
Cheaper outputQwen3.6 27B$2 vs $30 / 1M
Larger contextGPT-5.5262.14K vs 1.05M
Sample workloadQwen3.6 27B$1.3 vs $20

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.6 27BCalculating…Estimated API cost
GPT-5.5Calculating…Estimated API cost
Cheaper for this workloadCalculating…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

Qwen3.6 27B has the lower input price, Qwen3.6 27B has the lower output price, and GPT-5.5 offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.3 for Qwen3.6 27B and $20 for GPT-5.5.

Best Fit

Choose Qwen3.6 27B when you care most about lower input-token price, and lower output-token price.

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

Head-to-Head Specs
FeatureQwen3.6 27B
(Qwen)		🔥GPT-5.5
(OpenAI)
Input Price
prompt tokens per 1M		$0.3$5
Completion Price
per 1M tokens		$2$30
Sample Workload Cost
1M input + 500K output		$1.3$20
Context Window262.14K1.05M
Release Date2026-04-272026-04-24
Popularity#17
Qwen3.6 27B

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.6 27BOn the standard 1M input plus 500K output workload, Qwen3.6 27B is estimated at $1.3 vs $20 for GPT-5.5, saving $18.7 (93.5% lower).
High-volume input processingQwen3.6 27BLower prompt-token price matters most when prompts or retrieved passages dominate the bill.
Long responses and chatbotsQwen3.6 27BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.5A larger context window leaves more room for retrieved passages and source files.