API cost decision in 10 seconds

GLM 4.5 Air (free) vs Qwen3.5-27B

Pick GLM 4.5 Air (free) for lower cost; pick Qwen3.5-27B only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GLM 4.5 Air (free) for lower cost; pick Qwen3.5-27B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, GLM 4.5 Air (free) is estimated at $0 vs $0.98 for Qwen3.5-27B, saving $0.98 (100% lower).

Cost-first pickGLM 4.5 Air (free)
Context-first pickQwen3.5-27B
Sample savings$0.98100%
10x traffic gap$9.75

Qwen3.5-27B has more context, but GLM 4.5 Air (free) saves $0.98 on the standard workload. At 10x that traffic, the same price gap is about $9.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GLM 4.5 Air (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGLM 4.5 Air (free)Qwen3.5-27B
Input-heavy / RAG5M input + 500K outputGLM 4.5 Air (free)$0$1.75
Balanced workload1M input + 1M outputGLM 4.5 Air (free)$0$1.76
Output-heavy chatbot1M input + 5M outputGLM 4.5 Air (free)$0$8
Cheaper input GLM 4.5 Air (free) $0 vs $0.195 / 1M

GLM 4.5 Air (free) is free for input tokens while Qwen3.5-27B costs $0.2 per 1M tokens.

Cheaper output GLM 4.5 Air (free) $0 vs $1.56 / 1M

GLM 4.5 Air (free) is free for output tokens while Qwen3.5-27B costs $1.56 per 1M tokens.

Larger context Qwen3.5-27B 131.07K vs 262.14K

Qwen3.5-27B has 131.07K more context (2x larger).

Sample workload GLM 4.5 Air (free) $0 vs $0.98

GLM 4.5 Air (free) is free for the standard workload while the other model is estimated at $0.98.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 4.5 Air (free) Calculating… Estimated API cost
Qwen3.5-27B 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

GLM 4.5 Air (free) has the lower input price; GLM 4.5 Air (free) has the lower output price; Qwen3.5-27B offers the larger context window. For the 1M input plus 500K output sample, GLM 4.5 Air (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for GLM 4.5 Air (free) and $0.98 for Qwen3.5-27B.

Best Fit

Choose GLM 4.5 Air (free) when you care most about lower input-token price, and lower output-token price.

Choose Qwen3.5-27B when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, GLM 4.5 Air (free) is estimated at $0 vs $0.98 for Qwen3.5-27B, saving $0.98 (100% lower).
  • GLM 4.5 Air (free) is free for the standard workload while the other model is estimated at $0.98.
  • GLM 4.5 Air (free) is free for input tokens while Qwen3.5-27B costs $0.2 per 1M tokens.
  • GLM 4.5 Air (free) is free for output tokens while Qwen3.5-27B costs $1.56 per 1M tokens.
  • Qwen3.5-27B has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureGLM 4.5 Air (free)
(Z.ai)
Qwen3.5-27B
(Qwen)
Input Price
prompt tokens per 1M
$0$0.195
Completion Price
per 1M tokens
$0$1.56
Sample Workload Cost
1M input + 500K output
$0$0.98
Context Window131.07K262.14K
Release Date
Popularity#41#81

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGLM 4.5 Air (free)On the standard 1M input plus 500K output workload, GLM 4.5 Air (free) is estimated at $0 vs $0.98 for Qwen3.5-27B, saving $0.98 (100% lower).
High-volume input processingGLM 4.5 Air (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGLM 4.5 Air (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5-27BA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Z.ai catalog

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Qwen catalog

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GLM 4.5 Air (free)

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...

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...