API cost decision in 10 seconds

LFM2-24B-A2B vs GLM 4 32B

Pick LFM2-24B-A2B when budget is the priority.

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 LFM2-24B-A2B when budget is the priority.

On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.15 for GLM 4 32B, saving $0.06 (40% lower).

Cost-first pickLFM2-24B-A2B

Context-first pickBoth models

Sample savings$0.0640%

10x traffic gap$0.6

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.6. 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 LFM2-24B-A2B, balanced workload favors LFM2-24B-A2B, and output-heavy chatbot favors GLM 4 32B.

Workload shape	Token mix	Better pick	LFM2-24B-A2B	GLM 4 32B
Input-heavy / RAG	5M input + 500K output	LFM2-24B-A2B	$0.21	$0.55
Balanced workload	1M input + 1M output	LFM2-24B-A2B	$0.15	$0.2
Output-heavy chatbot	1M input + 5M output	GLM 4 32B	$0.63	$0.6

Cheaper input LFM2-24B-A2B $0.03 vs $0.1 / 1M

LFM2-24B-A2B is $0.07 cheaper per 1M input tokens (70% lower; 3.33x difference).

Cheaper output GLM 4 32B $0.12 vs $0.1 / 1M

GLM 4 32B is $0.02 cheaper per 1M output tokens (16.7% lower; 1.2x difference).

Larger context Tie 128K vs 128K

Both models report the same context window at 128K tokens.

Sample workload LFM2-24B-A2B $0.09 vs $0.15

LFM2-24B-A2B is $0.06 cheaper on the standard workload (40% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

LFM2-24B-A2B 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

LFM2-24B-A2B has the lower input price; GLM 4 32B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, LFM2-24B-A2B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.09 for LFM2-24B-A2B and $0.15 for GLM 4 32B.

Best Fit

Choose LFM2-24B-A2B when you care most about lower input-token price.

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

Decision Notes

On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.15 for GLM 4 32B, saving $0.06 (40% lower).
LFM2-24B-A2B is $0.06 cheaper on the standard workload (40% lower).
LFM2-24B-A2B is $0.07 cheaper per 1M input tokens (70% lower; 3.33x difference).
GLM 4 32B is $0.02 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
Both models report the same context window at 128K tokens.

Head-to-Head Specs

Feature	LFM2-24B-A2B (LiquidAI)	GLM 4 32B (Z.ai)
Input Price prompt tokens per 1M	$0.03	$0.1
Completion Price per 1M tokens	$0.12	$0.1
Sample Workload Cost 1M input + 500K output	$0.09	$0.15
Context Window	128K	128K
Release Date	2026-02-25	2025-07-24
Popularity	#125	#147

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	LFM2-24B-A2B	On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.15 for GLM 4 32B, saving $0.06 (40% lower).
High-volume input processing	LFM2-24B-A2B	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	Tie	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

LFM2.5-1.2B-Thinking (free) can replace LFM2-24B-A2B when lower sample workload cost matters most: $0.
LFM2.5-1.2B-Instruct (free) can replace LFM2-24B-A2B when lower sample workload cost matters most: $0.
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

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

LiquidAI catalog

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

Open LiquidAI models

Z.ai catalog

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

Open Z.ai models

LFM2-24B-A2B

LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per...

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...