GLM-5.3-Flash
Public AI IQ model profile with source-backed benchmark results and derived ranking context.
GLM-5.3-Flash API pricing — full price table, workload cost examples, and cheaper alternatives.
Release and Capabilities
| Public release | 2026-08-26 |
|---|---|
| Modalities | text, image, video, file |
| Context window | 1,000,000 tokens |
Open weights for local deployment and hosted access through the Z.ai API and Coding Plan
Publisher-reported capabilities
- GLM-5.3-Flash is a native multimodal reasoning model with 320B total parameters and 18B active parameters.
- It supports a 1M-token context window and is optimized for coding, agentic workflows, computer use, and professional document tasks.
Limitations and availability caveats
- Thinking cannot be disabled; the API supports low, high, and max reasoning effort and defaults to max.
- The lower launch prices are promotional, so AI IQ records the durable $0.15 input and $0.50 output list prices.
Official release and model references
Measured Coverage and Estimates
Glm 5.3 Flash has 23 of 39 tracked IQ benchmark inputs across 7 of 7 dimensions. Raw benchmark tables contain source-backed results only. Derived IQ combines all six dimensions using the shared scoring methodology, including estimates where direct coverage is incomplete.
Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Programmatic Reasoning (IQ 134) and Academic Reasoning (IQ 129). These dimension estimates can include statistical adjustments or predecessor priors; they are not raw benchmark percentages or claims of real-world task success.
Benchmark versions, evaluation harnesses, and coverage affect comparisons; a missing result is not a score of zero. See the scoring methodology for estimation and uncertainty limits.
IQ Dimensions
| Dimension | IQ | Coverage |
|---|---|---|
| Abstract Reasoning | 97 | 4/5 |
| Mathematical Reasoning | 123 | 3/5 |
| Academic Reasoning | 129 | 4/6 |
| Programmatic Reasoning | 134 | 3/6 |
| Computer Use | 117 | 1/5 |
| Reliability | 114 | 3/6 |
| Knowledge Work | 124 | 5/6 |
Benchmark Results
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Frequently Asked Questions
- What is the IQ of GLM-5.3-Flash?
- GLM-5.3-Flash has an estimated IQ of 120, which ranks #42 out of 164 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
- How much does GLM-5.3-Flash cost?
- GLM-5.3-Flash costs $0.15 per million input tokens and $0.50 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $1.32 per million input-plus-output tokens.
- Is GLM-5.3-Flash open source?
- Yes — GLM-5.3-Flash is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
- When was GLM-5.3-Flash released?
- GLM-5.3-Flash was publicly released on August 26, 2026.
- How large is the context window of GLM-5.3-Flash?
- GLM-5.3-Flash supports a context window of 1,000,000 tokens — the amount of text it can consider in a single request.
- How fast is GLM-5.3-Flash?
- In independent measurements, GLM-5.3-Flash generates about 61 tokens per second, with a typical response time of about 44 seconds.