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.
Composite quality score based on reasoning, coding, and instruction-following benchmarks.
Input price vs 135 frontier models tracked. Avg: $5.69/1M.
Industry-standard benchmarks grouped by capability. Higher is better. Hover a row for benchmark description.
| Model ID | glm-5.3 |
| Provider | Zhipu AI |
| Model Family | GLM-5 |
| Tier | Frontier |
| Context Window | 1,000,000 tokens (1.0M) |
| Max Output Tokens | 16,384 tokens |
| Input Price | $1.4 / 1M tokens |
| Output Price | $4.2 / 1M tokens |
| Cached Input Price | $0.7 / 1M tokens |
| Throughput | 210 tokens/sec |
| Latency (P50) | 360ms |
| Intelligence Score | 83/100 |
| LiveBench Score | 71/100 |
| Cost per Task (LiveBench) | — |
| Data Confidence | Partial |
| HLE Score | — |
| GPQA Diamond | 62/100 |
| SWE-bench Score | — |
| OSWorld Score | — |
| BrowseComp Score | — |
| Terminal-Bench Score | — |
| AutoBench Score | — |
| Parameters | — |
| Vision Support | Yes |
| Function Calling | Yes |
| Streaming | Yes |
| Reasoning Model | No |
| Open Weights | No |
| Data Source | Static (verified) |
| Last Updated | 2026-08-19 |
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