API cost decision in 10 seconds

Qwen3 14B vs GLM 4 32B

Pick GLM 4 32B for lower cost; pick Qwen3 14B only if the larger context window matters more.

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 GLM 4 32B for lower cost; pick Qwen3 14B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, GLM 4 32B is estimated at $0.15 vs $0.22 for Qwen3 14B, saving $0.07 (31.8% lower).

Cost-first pickGLM 4 32B

Context-first pickQwen3 14B

Sample savings$0.0731.8%

10x traffic gap$0.7

Qwen3 14B has more context, but GLM 4 32B saves $0.07 on the standard workload. At 10x that traffic, the same price gap is about $0.7. 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 32B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Qwen3 14B	GLM 4 32B
Input-heavy / RAG	5M input + 500K output	GLM 4 32B	$0.62	$0.55
Balanced workload	1M input + 1M output	GLM 4 32B	$0.34	$0.2
Output-heavy chatbot	1M input + 5M output	GLM 4 32B	$1.3	$0.6

Cheaper input Tie $0.1 vs $0.1 / 1M

Both models report the same input price at $0.1 per 1M tokens.

Cheaper output GLM 4 32B $0.24 vs $0.1 / 1M

GLM 4 32B is $0.14 cheaper per 1M output tokens (58.3% lower; 2.4x difference).

Larger context Qwen3 14B 131.7K vs 128K

Qwen3 14B has 3.7K more context (1.03x larger).

Sample workload GLM 4 32B $0.22 vs $0.15

GLM 4 32B is $0.07 cheaper on the standard workload (31.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3 14B Calculating… Estimated API cost

GLM 4 32B 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

both models tie on input price; GLM 4 32B has the lower output price; Qwen3 14B offers the larger context window. For the 1M input plus 500K output sample, GLM 4 32B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.22 for Qwen3 14B and $0.15 for GLM 4 32B.

Best Fit

Choose Qwen3 14B when you care most about larger context window.

Choose GLM 4 32B when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, GLM 4 32B is estimated at $0.15 vs $0.22 for Qwen3 14B, saving $0.07 (31.8% lower).
GLM 4 32B is $0.07 cheaper on the standard workload (31.8% lower).
Both models report the same input price at $0.1 per 1M tokens.
GLM 4 32B is $0.14 cheaper per 1M output tokens (58.3% lower; 2.4x difference).
Qwen3 14B has 3.7K more context (1.03x larger).

Head-to-Head Specs

Feature	Qwen3 14B (Qwen)	GLM 4 32B (Z.ai)
Input Price prompt tokens per 1M	$0.1	$0.1
Completion Price per 1M tokens	$0.24	$0.1
Sample Workload Cost 1M input + 500K output	$0.22	$0.15
Context Window	131.7K	128K
Release Date	2025-04-28	2025-07-24
Popularity	#138	#147

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GLM 4 32B	On the standard 1M input plus 500K output workload, GLM 4 32B is estimated at $0.15 vs $0.22 for Qwen3 14B, saving $0.07 (31.8% lower).
High-volume input processing	Tie	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	GLM 4 32B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3 14B	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 14B when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 14B when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 14B when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3 14B 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.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
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

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

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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

Z.ai catalog

Check other Z.ai models with comparable pricing, context, or release timing.

Open Z.ai models

Qwen3 14B

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

GLM 4 32B

GLM 4 32B is a cost-effective foundation language model. It can efficiently perform complex tasks and has significantly enhanced capabilities in tool use, online search, and code-related intelligent tasks. It...