GLM-4.6 vs Grok 4.3

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

GLM-4.6

Z.ai (Zhipu) · Sep 2025

63.9

The budget coding-agent favorite of late 2025 — near-Sonnet coding utility with MIT weights and a $3/month plan.

Grok 4.3

xAI · Apr 2026

xAI's frontier model: 1M context at $1.25/$2.50, ~168 tokens/sec, and a record low hallucination rate on independent testing.

The verdict

These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. GLM-4.6 is about 1.6x cheaper per blended million tokens (3:1 input:output mix). Grok 4.3 also takes 1M of context versus 200K for GLM-4.6. And GLM-4.6 is open-weights (MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.

Specs & pricing

GLM-4.6Grok 4.3
modhub Index63.9
Input price / 1M$0.6$1.25
Output price / 1M$2.2$2.5
Context window200K1M
Max output128K
Open weightsyes (MIT)no
Reasoning modelyesyes
Multimodal inputtexttext, image
Knowledge cutoffJul 2025Mar 2026
ReleasedSep 2025Apr 2026
Example monthly cost*$9.30$16.25

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, GLM-4.6 or Grok 4.3?
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. GLM-4.6 is about 1.6x cheaper per blended million tokens (3:1 input:output mix). Grok 4.3 also takes 1M of context versus 200K for GLM-4.6. And GLM-4.6 is open-weights (MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Which is cheaper, GLM-4.6 or Grok 4.3?
GLM-4.6 costs $0.6/$2.2 per million input/output tokens, while Grok 4.3 costs $1.25/$2.5. For a typical workload of 10M input and 1.5M output tokens per month, that's $9.30 versus $16.25.
Which model is better for coding, GLM-4.6 or Grok 4.3?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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