Compute Comparison
Zhipu AI/GLM-5FrontierPartial

glm-5.3

chatlong-contextcodingmultilingual
glm-5.3 Pricing per 1M tokens
Input$1.40
Output$4.20
Cached input$0.700
View Zhipu AI
Context Window
1.0M
tokens
glm-5.3 Max Output
16K
tokens
glm-5.3 Throughput
210
tokens/sec
glm-5.3 Latency P50
360ms
time to first token
About glm-5.3Editorial

GLM-5.3 is Zhipu AI's most capable model, representing a significant step up from GLM-5.2 in both intelligence score and multimodal capability. It extends the GLM-5 series with a 1M-token context window, vision support, and improved coding and reasoning capability. GLM-5.3 achieves an intelligence score of approximately 83/100, placing it firmly in the frontier tier. It is available exclusively via Zhipu AI's API (Z.AI platform) and is not open-weights.

GLM-5.3 is priced at $1.40 per million input tokens and $4.20 per million output tokens, with prompt caching available at $0.70/1M for cached input. At 1,000 input + 500 output tokens per call, it costs approximately $0.0035 per 1,000 API calls — competitive with other frontier-tier models. Throughput is approximately 210 tokens per second with a median TTFT of 360ms — fast for a frontier-tier model. The 1M-token context window enables full-book analysis, large codebase review, and multi-document reasoning in a single call.

GLM-5.3 supports vision inputs (images and documents), function calling, streaming, JSON schema output, and web search. Its multimodal capability covers document understanding, chart analysis, and visual question answering. The model delivers solid frontier-tier performance across reasoning, coding, and knowledge tasks. Prompt caching reduces costs by 50% for repeated context — useful for multi-turn conversations and RAG pipelines with large system prompts.

GLM-5.3 is best suited to teams requiring a frontier-tier model with strong multilingual capability (Chinese, English, and 30+ other languages), large context windows, and competitive pricing. Its vision capability makes it suitable for document analysis, chart interpretation, and multimodal Q&A. For Chinese-language workloads, GLM-5.3 is among the strongest available models — Zhipu AI's training data has deep Chinese-language coverage that Western frontier labs cannot match. For pure English coding or reasoning tasks, higher-tier frontier reasoning models are more appropriate.

GLM-5.3 sits above GLM-5.2 (1M context, $1.11/1M input, intelligenceScore 80) and GLM-5.1 (200K context, $0.97/1M input, intelligenceScore 78) in the GLM-5 series. Its main competitors are frontier-tier proprietary models from OpenAI, Anthropic, and Google — all priced higher per million input tokens. GLM-5.3 offers a strong price-to-capability ratio for frontier-tier work, particularly for teams with multilingual or long-context requirements. Its intelligence score of approximately 83/100 reflects genuine frontier-tier capability, not just benchmark optimization.

glm-5.3 Intelligence Score
83/100
83

Composite quality score based on reasoning, coding, and instruction-following benchmarks.

glm-5.3 Pricing vs Frontier Tier
CheapestThis modelMost expensive
$0.200$1.40$150.00

Input price vs 135 frontier models tracked. Avg: $5.69/1M.

Benchmark Scores3 categories

Industry-standard benchmarks grouped by capability. Higher is better. Hover a row for benchmark description.

Reasoningavg 74
GPQA Diamond62/100
MMLU90/100
LiveBench71/100
Codingavg 78
Coding (HumanEval / SWE composite)78/100
Multimodalavg 84
Multimodal (composite)79/100
MMMU76/100
ChartQA88/100
DocVQA93/100
HLEHumanity's Last Exam
GPQAGraduate-level science Q&A
SWE-benchReal GitHub issues (agentic coding)
OSWorldGUI task completion on real desktop
BrowseCompComplex web research via agentic browsing
MMMUMultimodal college-level reasoning
ChartQAChart and figure understanding
DocVQADocument visual question answering
glm-5.3 Capabilities
Vision / Images✓
Function Calling✓
Streaming✓
Prompt Caching✓
Reasoning / CoT✗
Open Weights✗
Computer Use✗
Web Search✓
glm-5.3 Full Specifications
Model IDglm-5.3
ProviderZhipu AI
Model FamilyGLM-5
TierFrontier
Context Window1,000,000 tokens (1.0M)
Max Output Tokens16,384 tokens
Input Price$1.4 / 1M tokens
Output Price$4.2 / 1M tokens
Cached Input Price$0.7 / 1M tokens
Throughput210 tokens/sec
Latency (P50)360ms
Intelligence Score83/100
LiveBench Score71/100
Cost per Task (LiveBench)—
Data ConfidencePartial
HLE Score—
GPQA Diamond62/100
SWE-bench Score—
OSWorld Score—
BrowseComp Score—
Terminal-Bench Score—
AutoBench Score—
Parameters—
Vision SupportYes
Function CallingYes
StreamingYes
Reasoning ModelNo
Open WeightsNo
Data SourceStatic (verified)
Last Updated2026-08-19

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glm-5.3 Frequently Asked Questions