API cost decision in 10 seconds

GLM 5 vs Qwen3.6 27B

Pick Qwen3.6 27B when budget and context both matter.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.6 27B when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.6 27B is estimated at $1.3 vs $1.56 for GLM 5, saving $0.26 (16.7% lower).

Cost-first pickQwen3.6 27B

Context-first pickQwen3.6 27B

Sample savings$0.2616.7%

10x traffic gap$2.6

Qwen3.6 27B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.6. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3.6 27B, balanced workload favors Qwen3.6 27B, and output-heavy chatbot favors GLM 5.

Workload shape	Token mix	Better pick	GLM 5	Qwen3.6 27B
Input-heavy / RAG	5M input + 500K output	Qwen3.6 27B	$3.96	$2.5
Balanced workload	1M input + 1M output	Qwen3.6 27B	$2.52	$2.3
Output-heavy chatbot	1M input + 5M output	GLM 5	$10.2	$10.3

Cheaper input Qwen3.6 27B $0.6 vs $0.3 / 1M

Qwen3.6 27B is $0.3 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output GLM 5 $1.92 vs $2 / 1M

GLM 5 is $0.08 cheaper per 1M output tokens (4% lower; 1.04x difference).

Larger context Qwen3.6 27B 202.75K vs 262.14K

Qwen3.6 27B has 59.39K more context (1.29x larger).

Sample workload Qwen3.6 27B $1.56 vs $1.3

Qwen3.6 27B is $0.26 cheaper on the standard workload (16.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GLM 5 Calculating… Estimated API cost

Qwen3.6 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

Qwen3.6 27B has the lower input price; GLM 5 has the lower output price; Qwen3.6 27B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.6 27B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.56 for GLM 5 and $1.3 for Qwen3.6 27B.

Best Fit

Choose GLM 5 when you care most about lower output-token price.

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

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3.6 27B is estimated at $1.3 vs $1.56 for GLM 5, saving $0.26 (16.7% lower).
Qwen3.6 27B is $0.26 cheaper on the standard workload (16.7% lower).
Qwen3.6 27B is $0.3 cheaper per 1M input tokens (50% lower; 2x difference).
GLM 5 is $0.08 cheaper per 1M output tokens (4% lower; 1.04x difference).
Qwen3.6 27B has 59.39K more context (1.29x larger).

Head-to-Head Specs

Feature	GLM 5 (Z.ai)	Qwen3.6 27B (Qwen)
Input Price prompt tokens per 1M	$0.6	$0.3
Completion Price per 1M tokens	$1.92	$2
Sample Workload Cost 1M input + 500K output	$1.56	$1.3
Context Window	202.75K	262.14K
Release Date	2026-02-11	2026-04-27
Popularity	#38	#84

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3.6 27B	On the standard 1M input plus 500K output workload, Qwen3.6 27B is estimated at $1.3 vs $1.56 for GLM 5, saving $0.26 (16.7% lower).
High-volume input processing	Qwen3.6 27B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	GLM 5	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3.6 27B	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

GLM 4.5 Air (free) can replace GLM 5 when lower sample workload cost matters most: $0.
GLM 4 32B can replace GLM 5 when lower sample workload cost matters most: $0.15.
GLM 4.7 Flash can replace GLM 5 when lower sample workload cost matters most: $0.26.
GLM 4.5 Air can replace GLM 5 when lower sample workload cost matters most: $0.54.

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.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

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Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Z.ai catalog

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Qwen catalog

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GLM 5

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...

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...