Model decision surface

Compare AI models

Start with GLM 4.6V and GLM 5.3 Flash, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.

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Current public data

GLM 4.6V vs GLM 5.3 Flash

Live dataset updated 10/24/2026, 7:29:10 PM UTC

Open 1200×630 evidence receipt

Factual comparison of GLM 4.6V and GLM 5.3 Flash
Field	GLM 4.6V Z.ai	GLM 5.3 Flash Z.ai
ModelCap position	#133	#24
Index score	45.6	77.3
Evidence	Measured2 public benchmark observations across 2 boards	Measured4 public benchmark observations across 4 boards
Input / 1M	$0.30	$0.15
Output / 1M	$0.90	$0.50
Pricing status	fresh	fresh
Context	131K	1M
Providers	2	34
Weight access	Open weights	Open weights

Decision facts

GLM 4.6V is #133; GLM 5.3 Flash is #24 on the same current language board.
Index scores are 45.6 for GLM 4.6V and 77.3 for GLM 5.3 Flash. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
Both positions use Measured evidence.
Listed output price per 1M tokens is $0.90 for GLM 4.6V and $0.50 for GLM 5.3 Flash. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.05 for GLM 4.6V versus $0.55 for GLM 5.3 Flash. GLM 5.3 Flash costs 47.6% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Published context is 131,072 tokens for GLM 4.6V and 1,048,576 for GLM 5.3 Flash.
ModelCap currently lists 2 providers for GLM 4.6V and 34 for GLM 5.3 Flash.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

Popular comparisons

Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.