GLM-5.3-FlashvsGPT-6 Luna

Both language models, compared at each maker’s own API list prices. Every figure links to its source.

Compare at your usage

Every model priced for the same request
Prompt per request
Cache hits
Batch
Service tier

8,000 tokens in, 2,000 out

GLM-5.3-Flash on Z.ai APIGPT-6 Luna on OpenAI API
Rate appliedBase rateBase rate
Inputper 1M tokens$0.15 $0.10
Cache readper 1M tokens$0.030 $0.010
Outputper 1M tokens$0.50 $0.50
Cost per request$0.0022$0.0018
Per 1,000 requests$2.20$1.80

Every model is priced for the same request at its maker’s own list prices (each with its source and date), so bold marks the cheapest. A model that can’t serve the request is named, not ranked; a condition its seller doesn’t price says which rate was used.

Cost per request as prompts grow

2K tokens out, list price on each maker’s API. GPT-6 Luna charges $0.20 / $0.75 above 272K tokens.

0$0.050$0.10$0.150250K500K750K1Mprompt tokens per request272K8KGLM-5.3-Flash$0.0022 at 8KGPT-6 Luna$0.0018 at 8K
  • GLM-5.3-Flash · Z.ai API
  • GPT-6 Luna · OpenAI API

Where each stands among all scored models

Each line runs from the lowest to the highest score on the board; the tick is the median.

Epoch Capabilities Index#49 vs #32 of 118GPT-6 Luna: 156.7GLM-5.3-Flash: 153.6LMArena Text#27 vs #63 of 163GPT-6 Luna: 1,441GLM-5.3-Flash: 1,477LMArena Text · Coding#22 vs #46 of 163GPT-6 Luna: 1,506GLM-5.3-Flash: 1,526LMArena Vision#18 vs #58 of 89GPT-6 Luna: 1,216GLM-5.3-Flash: 1,294
  • GLM-5.3-Flash
  • GPT-6 Luna

Key differences

InputMaker’s official API · global · USD
$0.15 / 1M tokens Pricing · as of Nov 1, 2026
$0.10 / 1M tokens OpenAI API pricing · as of Nov 2, 2026
Context
1,000,000 GLM-5.3-Flash/FlashX · as of Nov 1, 2026
1,050,000 GPT-6 Luna · as of Nov 2, 2026
Input modalities
Text, Image, Video GLM-5.3-Flash/FlashX · as of Nov 1, 2026
Text, Image GPT-6 Luna · as of Nov 2, 2026
Cache readMaker’s official API · global · USD
$0.030 / 1M tokens Pricing · as of Nov 1, 2026
$0.010 / 1M tokens OpenAI API pricing · as of Nov 2, 2026

These differences use verified vendor specifications or each maker’s official API on the same region, currency, meter and billing conditions. Different conditions remain side by side in the full table; they do not establish which model is cheaper. Declared features describe support, not measured quality or a recommendation. Missing evidence does not mean a feature is unsupported.

Full comparison

GLM-5.3-Flash Zhipu AI GPT-6 Luna OpenAI
Overview
ReleasedAug 26, 2026 Sep 22, 2026
Open weightsYes —
Knowledge cutoffNot stated May 2026
Specs
Context1M 1.05M
Max inputNot stated 922K
Max output128K 128K
Input modalitiesText, Image, Video Text, Image
Output modalitiesText Text
ReasoningYes Yes
Reasoning effortslow, high, max none, low, medium, high, xhigh, max
Reasoning can be off— Yes
Tool useYes Yes
Structured outputYes Yes
Pricing · per 1M tokens
Input price$0.15 $0.10Also priced under other conditions: Batch, Flex tier, Fast tier, Prompts over 272K tokens
Output price$0.50 $0.50Also priced under other conditions: Batch, Flex tier, Fast tier, Prompts over 272K tokens
Cache read price$0.030 $0.010Also priced under other conditions: Batch, Flex tier, Fast tier, Prompts over 272K tokens
Cache write price— $0.125Also priced under other conditions: 30-minute cache, 12-hour cache, Prompts over 272K tokens, Batch, Flex tier, Fast tier
Blended price (3 input : 1 output)$0.2375 $0.20
Pricing under conditions · per 1M tokens
Input price, long promptsNot offered $0.20Prompts over 272K tokens
Output price, long promptsNot offered $0.75Prompts over 272K tokens
Batch input priceNot offered $0.050Batch
Batch output priceNot offered $0.25Batch
Flex tier input priceNot offered $0.050Flex tier
Flex tier output priceNot offered $0.25Flex tier
Cited scores
Epoch Capabilities Index153.6 156.7
LMArena Text1,477 1,441 max effort
LMArena Text · Coding1,526 1,506 max effort
LMArena Vision1,294 1,216 max effort
LMArena Text · Chinese1,530 1,483 max effort
Epoch AI · GPQA Diamond90.2% max effort90.5% max effort
Epoch AI · FrontierMath Tiers 1–355.8% max effort78.9% max effort

Headline prices may come from different channels, regions or tiers. Check each source before choosing a model; missing facts stay blank.

Model details and sources

Cited scores