Data points: 116
Model compare
The readout for GLM-5.2 and GPT-5.2, before the detailed comparison sheet.
Weighted outcome: GLM-5.2. Benchmark capability categories carry 80%, while price, API performance, and availability carry 20%.
Decision read
GLM-5.2
GLM-5.2 has the higher weighted result; Model A / B score 74.7 to 25.3.
Evidence depth
116 data points
Includes 23 benchmark rows, 1 audit samples, and 10 provider examples.
Selection signal
Start with GLM-5.2
The charts below split 34 high-signal samples across speed, scores, and audit health.
Switch either side of this report to compare another model with the same LMSpeed data pipeline.
Select a different model to open a new comparison URL.
This report only uses LMSpeed data for GLM-5.2 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Model compare | GLM-5.2 | GPT-5.2 |
|---|---|---|
| Overall leader | Leading | Contender |
| Weighted overall score | 74.7 pts | 25.3 pts |
| Benchmark category leads | 5 categories | 1 categories |
| Operational advantages | Cheapest input price, Average speed | First-token latency, Free providers, Provider coverage |
| Context window | 1.0M tokens | 400K tokens |
| Max output | 131.1K tokens | 128K tokens |
| Modalities | Input Text Output Text | Input File |
The overall result weights benchmark capability categories at 80% and price, API speed/latency, and availability at 20%. Recent test volume does not affect the winner, and missing benchmark categories are excluded.
| Model compare | GLM-5.2 | GPT-5.2 |
|---|---|---|
| Developer | Z.ai | OpenAI |
| Released | Jun 2026 | Dec 2025 |
| Parameters | No data | No data |
| Tokenizer | Other | GPT |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | z-ai/glm-5.2 | openai/gpt-5.2 |
| References | No data | No data |
This report only uses LMSpeed data for GLM-5.2 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
GLM-5.2
GLM-5.2 is stronger in benchmark categories (Agents, Coding, Reasoning, Knowledge, Math) and operational dimensions (Cheapest input price, Average speed).
GPT-5.2
GPT-5.2 is stronger in benchmark categories (Instruction following) and operational dimensions (First-token latency, Free providers, Provider coverage).
Third-party benchmark profile synced into LMSpeed; only metrics available for both models are shown.
Compare benchmark category scores on a 0-100 scale. Select a category to inspect the gap.
Avg. score
GLM-5.2
59.5
Avg. score
GPT-5.2
52.8
GLM-5.2 leads by 12.8
GLM-5.2 leads by 1.5
GLM-5.2 leads by 0.3
GLM-5.2 leads by 1.4
GLM-5.2 leads by 14.5
No data
GPT-5.2
GPT-5.2 leads by 0.8
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
GLM-5.2
winner71.0
Rank #14/90 · confidence 2 · eval date 2026-06-16
GPT-5.2
53.0
Rank #56/90 · confidence 3 · eval date 2025-12-11
GLM-5.2
winner$4.40/M
Rank #101/169 · confidence 4
GPT-5.2
$14.00/M
Rank #139/169 · confidence 4
GLM-5.2
winner$2.15/M
Rank #108/169 · confidence 4
GPT-5.2
$4.81/M
Rank #138/169 · confidence 4
GLM-5.2
winner$1.40/M
Rank #121/169 · confidence 4
GPT-5.2
$1.75/M
Rank #125/169 · confidence 4
GLM-5.2
winner20.9
Rank #10/77 · confidence 2 · eval date 2026-06-16
GPT-5.2
11.6
Rank #22/77 · confidence 3 · eval date 2025-12-11
GLM-5.2
71.3
Rank #15/94 · confidence 2 · eval date 2026-06-16
GPT-5.2
winner72.7
Rank #13/94 · confidence 3 · eval date 2025-12-11
GLM-5.2
winner40.1%
Rank #14/193 · confidence 4
GPT-5.2
7.3%
Rank #115/193 · confidence 4
GLM-5.2
winner89.5%
Rank #28/194 · confidence 4
GPT-5.2
71.2%
Rank #116/194 · confidence 4
GLM-5.2
winner62.1
Rank #10/42 · confidence 2 · eval date 2026-06-16
GPT-5.2
55.6
Rank #28/42 · confidence 3 · eval date 2025-12-11
GLM-5.2
winner50.5%
Rank #18/191 · confidence 4
GPT-5.2
40.4%
Rank #69/191 · confidence 4
GLM-5.2
50.5
Rank #22/101 · confidence 2 · eval date 2026-06-16
GPT-5.2
winner52.1
Rank #21/101 · confidence 3 · eval date 2025-12-11
GLM-5.2
50.4
Rank #42/71 · confidence 2 · eval date 2026-06-16
GPT-5.2
winner52.2
Rank #36/71 · confidence 3 · eval date 2025-12-11
GLM-5.2
winner81.4
Rank #7/57 · confidence 2 · eval date 2026-06-16
GPT-5.2
58.5
Rank #25/57 · confidence 3 · eval date 2025-12-11
GLM-5.2
winner82.4
Rank #11/60 · confidence 2 · eval date 2026-06-16
GPT-5.2
80.8
Rank #13/60 · confidence 3 · eval date 2025-12-11
GLM-5.2
winner40.1
Rank #13/101 · confidence 2 · eval date 2026-06-16
GPT-5.2
35.4
Rank #24/101 · confidence 3 · eval date 2025-12-11
GLM-5.2
winner51.1
Rank #13/104 · confidence 2 · eval date 2026-06-16
GPT-5.2
42.2
Rank #25/104 · confidence 3 · eval date 2025-12-11
GLM-5.2
25.1
Rank #62/95 · confidence 2 · eval date 2026-06-16
GPT-5.2
winner43.8
Rank #18/95 · confidence 3 · eval date 2025-12-11
GLM-5.2
89.5
Rank #29/101 · confidence 2 · eval date 2026-06-16
GPT-5.2
winner90.3
Rank #21/101 · confidence 3 · eval date 2025-12-11
GLM-5.2
28.1
Rank #89/95 · confidence 2 · eval date 2026-06-16
GPT-5.2
winner79.7
Rank #39/95 · confidence 3 · eval date 2025-12-11
GLM-5.2
winner1341.0
Rank #2/69 · confidence 2 · eval date 2026-06-16
GPT-5.2
1219.0
Rank #38/69 · confidence 3 · eval date 2025-12-11
GLM-5.2
73.3
Rank #26/86 · confidence 2 · eval date 2026-06-16
GPT-5.2
winner75.4
Rank #21/86 · confidence 3 · eval date 2025-12-11
GLM-5.2
winner99.1
Rank #1/84 · confidence 2 · eval date 2026-06-16
GPT-5.2
84.8
Rank #47/84 · confidence 3 · eval date 2025-12-11
GLM-5.2
winner81.2
Rank #15/59 · confidence 2 · eval date 2026-06-16
GPT-5.2
22.0
Rank #54/59 · confidence 3 · eval date 2025-12-11
Latest completed audits from shared providers, with four safety and integrity score groups plus report links.
| Provider | GLM-5.2 | GPT-5.2 |
|---|---|---|
Winner: GLM-5.2 | GLM-5.2 GLM-5.2-C Audit score 75 597863100 | GPT-5.2 gpt-5.2 No audit yet |
Speed aggregates and input/output pricing share each provider row for real API selection and migration cost checks.
| Provider | GLM-5.2 | GPT-5.2 |
|---|---|---|
15 tests | GLM-5.2 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 56 tok/s / 1798ms input / output No data |
15 tests | GLM-5.2 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 52 tok/s / 2671ms input / output No data |
10 tests | GLM-5.2 speed / latency 62 tok/s / 8564ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
10 tests | GLM-5.2 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 94 tok/s / 11492ms input / output No data |
10 tests | GLM-5.2 speed / latency 24 tok/s / 13024ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
GLM-5.2 glm-5.2 speed / latency No data input / output $29.20/M/$102.20/M | GPT-5.2 gpt-5.2-2025-12-11 speed / latency No data input / output $0/M | |
GLM-5.2 glm-5.2 speed / latency No data input / output $0/M/$0/M | GPT-5.2 gpt-5.2 speed / latency No data input / output $0.024/M | |
GLM-5.2 glm-5.2 speed / latency No data input / output $0/M/$0/M | GPT-5.2 gpt-5.2-openai-compact speed / latency No data input / output $0/M | |
GLM-5.2 glm-5.2 speed / latency No data input / output $0/M/$0/M | GPT-5.2 gpt-5.2 speed / latency No data input / output $0.120/M | |
GLM-5.2 glm-5.2 speed / latency No data input / output $0/request | GPT-5.2 gpt-5.2-2025-12-11 speed / latency No data input / output $0/request |
Weighted outcome: GLM-5.2. Benchmark capability categories carry 80%, while price, API performance, and availability carry 20%.
Output
| Features | Text inputText outputTool callingStructured outputsJSON modeReasoning | Text inputImage inputFile inputText outputTool callingStructured outputsJSON modeReasoning |
|---|
