API cost decision in 10 seconds

Qwen3.5-27B vs Qwen3.5 Plus 2026-02-15

Pick Qwen3.5-27B for lower cost; pick Qwen3.5 Plus 2026-02-15 only if the larger context window matters more.

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

Budget verdict

Pick Qwen3.5-27B for lower cost; pick Qwen3.5 Plus 2026-02-15 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.5-27B is estimated at $0.98 vs $1.04 for Qwen3.5 Plus 2026-02-15, saving $0.06 (6.2% lower).

Cost-first pickQwen3.5-27B

Context-first pickQwen3.5 Plus 2026-02-15

Sample savings$0.066.2%

10x traffic gap$0.65

Qwen3.5 Plus 2026-02-15 has more context, but Qwen3.5-27B saves $0.06 on the standard workload. At 10x that traffic, the same price gap is about $0.65. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.5-27B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Qwen3.5-27B	Qwen3.5 Plus 2026-02-15
Input-heavy / RAG	5M input + 500K output	Qwen3.5-27B	$1.75	$2.08
Balanced workload	1M input + 1M output	Qwen3.5-27B	$1.76	$1.82
Output-heavy chatbot	1M input + 5M output	Qwen3.5-27B	$8	$8.06

Cheaper input Qwen3.5-27B $0.195 vs $0.26 / 1M

Qwen3.5-27B is $0.07 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Tie $1.56 vs $1.56 / 1M

Both models report the same output price at $1.56 per 1M tokens.

Larger context Qwen3.5 Plus 2026-02-15 262.14K vs 1M

Qwen3.5 Plus 2026-02-15 has 737.86K more context (3.81x larger).

Sample workload Qwen3.5-27B $0.98 vs $1.04

Qwen3.5-27B is $0.06 cheaper on the standard workload (6.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3.5-27B Calculating… Estimated API cost

Qwen3.5 Plus 2026-02-15 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

Qwen3.5-27B has the lower input price; both models tie on output price; Qwen3.5 Plus 2026-02-15 offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5-27B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.98 for Qwen3.5-27B and $1.04 for Qwen3.5 Plus 2026-02-15.

Best Fit

Choose Qwen3.5-27B when you care most about lower input-token price.

Choose Qwen3.5 Plus 2026-02-15 when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3.5-27B is estimated at $0.98 vs $1.04 for Qwen3.5 Plus 2026-02-15, saving $0.06 (6.2% lower).
Qwen3.5-27B is $0.06 cheaper on the standard workload (6.2% lower).
Qwen3.5-27B is $0.07 cheaper per 1M input tokens (25% lower; 1.33x difference).
Both models report the same output price at $1.56 per 1M tokens.
Qwen3.5 Plus 2026-02-15 has 737.86K more context (3.81x larger).

Head-to-Head Specs

Feature	Qwen3.5-27B (Qwen)	Qwen3.5 Plus 2026-02-15 (Qwen)
Input Price prompt tokens per 1M	$0.195	$0.26
Completion Price per 1M tokens	$1.56	$1.56
Sample Workload Cost 1M input + 500K output	$0.98	$1.04
Context Window	262.14K	1M
Release Date	2026-02-25	2026-02-16

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3.5-27B	On the standard 1M input plus 500K output workload, Qwen3.5-27B is estimated at $0.98 vs $1.04 for Qwen3.5 Plus 2026-02-15, saving $0.06 (6.2% lower).
High-volume input processing	Qwen3.5-27B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Tie	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3.5 Plus 2026-02-15	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 Qwen3.5-27B when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3.5-27B when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3.5-27B when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3.5-27B 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.
Owl Alpha offers 1.05M context with $0 sample workload cost.
Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Qwen catalog

Review all tracked Qwen models before deciding whether this matchup is the right shortlist.

Open Qwen models

Qwen3.5-27B

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...

Qwen3.5 Plus 2026-02-15

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...