glm-5.1
Public AI IQ model profile with source-backed benchmark results and derived ranking context.
glm-5.1 API pricing — full price table, workload cost examples, and cheaper alternatives.
Release and Capabilities
| Public release | 2026-04-07 |
|---|---|
| Context window | 200,000 tokens |
Measured Coverage and Estimates
Glm 5.1 has 25 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. Configured predecessor references: Glm 5. A reference is an estimation input, not evidence that this model has the predecessor's measured results.
Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Academic Reasoning (IQ 124) and Computer Use (IQ 122). 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 | 88 | 1/5 |
| Mathematical Reasoning | 114 | 3/5 |
| Academic Reasoning | 124 | 4/6 |
| Programmatic Reasoning | 116 | 4/6 |
| Computer Use | 122 | 4/5 |
| Reliability | 112 | 5/6 |
| Knowledge Work | 115 | 4/6 |
Benchmark Results
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Frequently Asked Questions
- What is the IQ of glm-5.1?
- glm-5.1 has an estimated IQ of 113, which ranks #59 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.
- What is the EQ of glm-5.1?
- glm-5.1 has an estimated EQ of 116. EQ measures emotional reasoning — how well a model reads and responds to emotional context — and is scored separately from IQ.
- How much does glm-5.1 cost?
- glm-5.1 costs $1.28 per million input tokens and $4.07 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $5.07 per million input-plus-output tokens.
- Is glm-5.1 open source?
- Yes — glm-5.1 is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
- When was glm-5.1 released?
- glm-5.1 was publicly released on April 7, 2026.
- How large is the context window of glm-5.1?
- glm-5.1 supports a context window of 200,000 tokens — the amount of text it can consider in a single request.
- How fast is glm-5.1?
- In independent measurements, glm-5.1 generates about 60 tokens per second, with a typical response time of about 73 seconds.