API cost decision in 10 seconds

Qwen3.5 Plus 2026-02-15 vs GPT-5.2

Pick Qwen3.5 Plus 2026-02-15 when budget and context both matter.

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

Budget verdict

Pick Qwen3.5 Plus 2026-02-15 when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-02-15 is estimated at $1.04 vs $8.75 for GPT-5.2, saving $7.71 (88.1% lower).

Cost-first pickQwen3.5 Plus 2026-02-15
Context-first pickQwen3.5 Plus 2026-02-15
Sample savings$7.7188.1%
10x traffic gap$77.1

Qwen3.5 Plus 2026-02-15 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $77.1. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.5 Plus 2026-02-15 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.5 Plus 2026-02-15GPT-5.2
Input-heavy / RAG5M input + 500K outputQwen3.5 Plus 2026-02-15$2.08$15.75
Balanced workload1M input + 1M outputQwen3.5 Plus 2026-02-15$1.82$15.75
Output-heavy chatbot1M input + 5M outputQwen3.5 Plus 2026-02-15$8.06$71.75
Cheaper input Qwen3.5 Plus 2026-02-15 $0.26 vs $1.75 / 1M

Qwen3.5 Plus 2026-02-15 is $1.49 cheaper per 1M input tokens (85.1% lower; 6.73x difference).

Cheaper output Qwen3.5 Plus 2026-02-15 $1.56 vs $14 / 1M

Qwen3.5 Plus 2026-02-15 is $12.44 cheaper per 1M output tokens (88.9% lower; 8.97x difference).

Larger context Qwen3.5 Plus 2026-02-15 1M vs 400K

Qwen3.5 Plus 2026-02-15 has 600K more context (2.5x larger).

Sample workload Qwen3.5 Plus 2026-02-15 $1.04 vs $8.75

Qwen3.5 Plus 2026-02-15 is $7.71 cheaper on the standard workload (88.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5 Plus 2026-02-15 Calculating… Estimated API cost
GPT-5.2 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

Qwen3.5 Plus 2026-02-15 has the lower input price; Qwen3.5 Plus 2026-02-15 has the lower output price; Qwen3.5 Plus 2026-02-15 offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5 Plus 2026-02-15 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.04 for Qwen3.5 Plus 2026-02-15 and $8.75 for GPT-5.2.

Best Fit

Choose Qwen3.5 Plus 2026-02-15 when you care most about lower input-token price, lower output-token price, and larger context window.

Choose GPT-5.2 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, Qwen3.5 Plus 2026-02-15 is estimated at $1.04 vs $8.75 for GPT-5.2, saving $7.71 (88.1% lower).
  • Qwen3.5 Plus 2026-02-15 is $7.71 cheaper on the standard workload (88.1% lower).
  • Qwen3.5 Plus 2026-02-15 is $1.49 cheaper per 1M input tokens (85.1% lower; 6.73x difference).
  • Qwen3.5 Plus 2026-02-15 is $12.44 cheaper per 1M output tokens (88.9% lower; 8.97x difference).
  • Qwen3.5 Plus 2026-02-15 has 600K more context (2.5x larger).
Head-to-Head Specs
FeatureQwen3.5 Plus 2026-02-15
(Qwen)
GPT-5.2
(OpenAI)
Input Price
prompt tokens per 1M
$0.26$1.75
Completion Price
per 1M tokens
$1.56$14
Sample Workload Cost
1M input + 500K output
$1.04$8.75
Context Window1M400K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5 Plus 2026-02-15On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-02-15 is estimated at $1.04 vs $8.75 for GPT-5.2, saving $7.71 (88.1% lower).
High-volume input processingQwen3.5 Plus 2026-02-15Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.5 Plus 2026-02-15Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5 Plus 2026-02-15A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
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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Provider catalogs

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Qwen catalog

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OpenAI catalog

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The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...

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GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...