API cost decision in 10 seconds

Kimi K2 0711 vs GLM 4 32B

Pick GLM 4 32B for lower cost; pick Kimi K2 0711 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 Kimi K2 0711 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 $1.72 for Kimi K2 0711, saving $1.57 (91.3% lower).

Cost-first pickGLM 4 32B

Context-first pickKimi K2 0711

Sample savings$1.5791.3%

10x traffic gap$15.7

Kimi K2 0711 has more context, but GLM 4 32B saves $1.57 on the standard workload. At 10x that traffic, the same price gap is about $15.7. 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	Kimi K2 0711	GLM 4 32B
Input-heavy / RAG	5M input + 500K output	GLM 4 32B	$4	$0.55
Balanced workload	1M input + 1M output	GLM 4 32B	$2.87	$0.2
Output-heavy chatbot	1M input + 5M output	GLM 4 32B	$12.07	$0.6

Cheaper input GLM 4 32B $0.57 vs $0.1 / 1M

GLM 4 32B is $0.47 cheaper per 1M input tokens (82.5% lower; 5.7x difference).

Cheaper output GLM 4 32B $2.3 vs $0.1 / 1M

GLM 4 32B is $2.2 cheaper per 1M output tokens (95.7% lower; 23x difference).

Larger context Kimi K2 0711 131.07K vs 128K

Kimi K2 0711 has 3.07K more context (1.02x larger).

Sample workload GLM 4 32B $1.72 vs $0.15

GLM 4 32B is $1.57 cheaper on the standard workload (91.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Kimi K2 0711 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

GLM 4 32B has the lower input price; GLM 4 32B has the lower output price; Kimi K2 0711 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 $1.72 for Kimi K2 0711 and $0.15 for GLM 4 32B.

Best Fit

Choose Kimi K2 0711 when you care most about larger context window.

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

Decision Notes

On the standard 1M input plus 500K output workload, GLM 4 32B is estimated at $0.15 vs $1.72 for Kimi K2 0711, saving $1.57 (91.3% lower).
GLM 4 32B is $1.57 cheaper on the standard workload (91.3% lower).
GLM 4 32B is $0.47 cheaper per 1M input tokens (82.5% lower; 5.7x difference).
GLM 4 32B is $2.2 cheaper per 1M output tokens (95.7% lower; 23x difference).
Kimi K2 0711 has 3.07K more context (1.02x larger).

Head-to-Head Specs

Feature	Kimi K2 0711 (MoonshotAI)	GLM 4 32B (Z.ai)
Input Price prompt tokens per 1M	$0.57	$0.1
Completion Price per 1M tokens	$2.3	$0.1
Sample Workload Cost 1M input + 500K output	$1.72	$0.15
Context Window	131.07K	128K
Release Date	2025-07-11	2025-07-24
Popularity	#140	#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 $1.72 for Kimi K2 0711, saving $1.57 (91.3% lower).
High-volume input processing	GLM 4 32B	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	Kimi K2 0711	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Kimi K2.5 can replace Kimi K2 0711 when lower sample workload cost matters most: $1.35.
GLM 4.5 Air (free) can replace GLM 4 32B when lower sample workload cost matters most: $0.

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

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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MoonshotAI catalog

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Z.ai catalog

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Kimi K2 0711

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...

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