API cost decision in 10 seconds

Qwen3.5-9B vs GLM 4 32B

Pick Qwen3.5-9B 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 Qwen3.5-9B when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.5-9B is estimated at $0.11 vs $0.15 for GLM 4 32B, saving $0.04 (23.3% lower).

Cost-first pickQwen3.5-9B

Context-first pickQwen3.5-9B

Sample savings$0.0423.3%

10x traffic gap$0.35

Qwen3.5-9B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.35. 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 Qwen3.5-9B, balanced workload favors Qwen3.5-9B, and output-heavy chatbot favors GLM 4 32B.

Workload shape	Token mix	Better pick	Qwen3.5-9B	GLM 4 32B
Input-heavy / RAG	5M input + 500K output	Qwen3.5-9B	$0.28	$0.55
Balanced workload	1M input + 1M output	Qwen3.5-9B	$0.19	$0.2
Output-heavy chatbot	1M input + 5M output	GLM 4 32B	$0.79	$0.6

Cheaper input Qwen3.5-9B $0.04 vs $0.1 / 1M

Qwen3.5-9B is $0.06 cheaper per 1M input tokens (60% lower; 2.5x difference).

Cheaper output GLM 4 32B $0.15 vs $0.1 / 1M

GLM 4 32B is $0.05 cheaper per 1M output tokens (33.3% lower; 1.5x difference).

Larger context Qwen3.5-9B 262.14K vs 128K

Qwen3.5-9B has 134.14K more context (2.05x larger).

Sample workload Qwen3.5-9B $0.11 vs $0.15

Qwen3.5-9B is $0.04 cheaper on the standard workload (23.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3.5-9B 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

Qwen3.5-9B has the lower input price; GLM 4 32B has the lower output price; Qwen3.5-9B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5-9B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.11 for Qwen3.5-9B and $0.15 for GLM 4 32B.

Best Fit

Choose Qwen3.5-9B when you care most about lower input-token price, and 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, Qwen3.5-9B is estimated at $0.11 vs $0.15 for GLM 4 32B, saving $0.04 (23.3% lower).
Qwen3.5-9B is $0.04 cheaper on the standard workload (23.3% lower).
Qwen3.5-9B is $0.06 cheaper per 1M input tokens (60% lower; 2.5x difference).
GLM 4 32B is $0.05 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
Qwen3.5-9B has 134.14K more context (2.05x larger).

Head-to-Head Specs

Feature	Qwen3.5-9B (Qwen)	GLM 4 32B (Z.ai)
Input Price prompt tokens per 1M	$0.04	$0.1
Completion Price per 1M tokens	$0.15	$0.1
Sample Workload Cost 1M input + 500K output	$0.11	$0.15
Context Window	262.14K	128K
Release Date	2026-03-10	2025-07-24
Popularity	#61	#147

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3.5-9B	On the standard 1M input plus 500K output workload, Qwen3.5-9B is estimated at $0.11 vs $0.15 for GLM 4 32B, saving $0.04 (23.3% lower).
High-volume input processing	Qwen3.5-9B	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	Qwen3.5-9B	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 Qwen3.5-9B when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3.5-9B when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3.5-9B when lower sample workload cost matters most: $0.09.
GLM 4.5 Air (free) can replace GLM 4 32B when lower sample workload cost matters most: $0.

Larger context near this budget

Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.
Lyria 3 Clip Preview offers 1.05M context with $0 sample workload cost.
Lyria 3 Pro Preview 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

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Provider catalogs

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Qwen catalog

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Z.ai catalog

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Qwen3.5-9B

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

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...