API cost decision in 10 seconds

KAT-Coder-Pro V2 vs GLM 4.6V

Pick GLM 4.6V for lower cost; pick KAT-Coder-Pro V2 only if the larger context window matters more.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GLM 4.6V for lower cost; pick KAT-Coder-Pro V2 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, GLM 4.6V is estimated at $0.75 vs $0.9 for KAT-Coder-Pro V2, saving $0.15 (16.7% lower).

Cost-first pickGLM 4.6V

Context-first pickKAT-Coder-Pro V2

Sample savings$0.1516.7%

10x traffic gap$1.5

KAT-Coder-Pro V2 has more context, but GLM 4.6V saves $0.15 on the standard workload. At 10x that traffic, the same price gap is about $1.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GLM 4.6V stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	KAT-Coder-Pro V2	GLM 4.6V
Input-heavy / RAG	5M input + 500K output	GLM 4.6V	$2.1	$1.95
Balanced workload	1M input + 1M output	GLM 4.6V	$1.5	$1.2
Output-heavy chatbot	1M input + 5M output	GLM 4.6V	$6.3	$4.8

Cheaper input Tie $0.3 vs $0.3 / 1M

Both models report the same input price at $0.3 per 1M tokens.

Cheaper output GLM 4.6V $1.2 vs $0.9 / 1M

GLM 4.6V is $0.3 cheaper per 1M output tokens (25% lower; 1.33x difference).

Larger context KAT-Coder-Pro V2 256K vs 131.07K

KAT-Coder-Pro V2 has 124.93K more context (1.95x larger).

Sample workload GLM 4.6V $0.9 vs $0.75

GLM 4.6V is $0.15 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

KAT-Coder-Pro V2 Calculating… Estimated API cost

GLM 4.6V 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 4.6V has the lower output price; KAT-Coder-Pro V2 offers the larger context window. For the 1M input plus 500K output sample, GLM 4.6V is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.9 for KAT-Coder-Pro V2 and $0.75 for GLM 4.6V.

Best Fit

Choose KAT-Coder-Pro V2 when you care most about larger context window.

Choose GLM 4.6V when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, GLM 4.6V is estimated at $0.75 vs $0.9 for KAT-Coder-Pro V2, saving $0.15 (16.7% lower).
GLM 4.6V is $0.15 cheaper on the standard workload (16.7% lower).
Both models report the same input price at $0.3 per 1M tokens.
GLM 4.6V is $0.3 cheaper per 1M output tokens (25% lower; 1.33x difference).
KAT-Coder-Pro V2 has 124.93K more context (1.95x larger).

Head-to-Head Specs

Feature	KAT-Coder-Pro V2 (Kwaipilot)	GLM 4.6V (Z.ai)
Input Price prompt tokens per 1M	$0.3	$0.3
Completion Price per 1M tokens	$1.2	$0.9
Sample Workload Cost 1M input + 500K output	$0.9	$0.75
Context Window	256K	131.07K
Release Date	2026-03-27	2025-12-08

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GLM 4.6V	On the standard 1M input plus 500K output workload, GLM 4.6V is estimated at $0.75 vs $0.9 for KAT-Coder-Pro V2, saving $0.15 (16.7% 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 4.6V	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	KAT-Coder-Pro V2	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 4.6V when lower sample workload cost matters most: $0.
GLM 4 32B can replace GLM 4.6V when lower sample workload cost matters most: $0.15.
GLM 4.7 Flash can replace GLM 4.6V when lower sample workload cost matters most: $0.26.
GLM 4.5 Air can replace GLM 4.6V when lower sample workload cost matters most: $0.55.

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.
Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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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

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Kwaipilot catalog

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Z.ai catalog

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