Data points: 126
Model compare
The readout for GLM-5.1 and GPT-5.2, before the detailed comparison sheet.
Weighted outcome: GPT-5.2. Benchmark capability categories carry 80%, while price, API performance, and availability carry 20%.
Decision read
GPT-5.2
GPT-5.2 has the higher weighted result; Model A / B score 30.7 to 69.3.
Evidence depth
126 data points
Includes 28 benchmark rows, 1 audit samples, and 10 provider examples.
Selection signal
Start with GPT-5.2
The charts below split 39 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-5.1 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Model compare | GLM-5.1 | GPT-5.2 |
|---|---|---|
| Overall leader | Contender | Leading |
| Weighted overall score | 30.7 pts | 69.3 pts |
| Benchmark category leads | 2 categories | 4 categories |
| Operational advantages | Cheapest input price | Average speed, First-token latency, Free providers, Provider coverage |
| Context window | 204.8K tokens | 400K tokens |
| Max output | 128K 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-5.1 | GPT-5.2 |
|---|---|---|
| Developer | Z.ai | OpenAI |
| Released | Apr 2026 | Dec 2025 |
| Parameters | No data | No data |
| Tokenizer | Other | GPT |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | z-ai/glm-5.1 | openai/gpt-5.2 |
| References | No data | No data |
This report only uses LMSpeed data for GLM-5.1 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
GLM-5.1
GLM-5.1 is stronger in benchmark categories (Agents, Instruction following) and operational dimensions (Cheapest input price).
GPT-5.2
GPT-5.2 is stronger in benchmark categories (Coding, Reasoning, Knowledge, Math) and operational dimensions (Average speed, 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-5.1
54.4
Avg. score
GPT-5.2
52.8
GLM-5.1 leads by 5.8
GPT-5.2 leads by 1.9
GPT-5.2 leads by 0.4
GPT-5.2 leads by 0.5
GPT-5.2 leads by 4.2
No data
GPT-5.2
GLM-5.1 leads by 0.4
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
GLM-5.1
winner63.0
Rank #25/84 · confidence 2 · eval date 2026-04-07
GPT-5.2
53.0
Rank #50/84 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner$4.40/M
Rank #97/162 · confidence 4
GPT-5.2
$14.00/M
Rank #133/162 · confidence 4
GLM-5.1
winner$2.14/M
Rank #103/162 · confidence 4
GPT-5.2
$4.81/M
Rank #132/162 · confidence 4
GLM-5.1
winner$1.39/M
Rank #116/162 · confidence 4
GPT-5.2
$1.75/M
Rank #120/162 · confidence 4
GLM-5.1
62.3
Rank #55/89 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner72.7
Rank #13/89 · confidence 3 · eval date 2025-12-11
GLM-5.1
4.6
Rank #37/73 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner11.6
Rank #20/73 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner86.8%
Rank #35/188 · confidence 4
GPT-5.2
71.2%
Rank #110/188 · confidence 4
GLM-5.1
winner28.0%
Rank #35/187 · confidence 4
GPT-5.2
7.3%
Rank #109/187 · confidence 4
GLM-5.1
31.5
Rank #14/33 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner53.5
Rank #6/33 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner62.7
Rank #12/65 · confidence 2 · eval date 2026-04-07
GPT-5.2
52.2
Rank #34/65 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner58.4
Rank #14/37 · confidence 2 · eval date 2026-04-07
GPT-5.2
55.6
Rank #25/37 · confidence 3 · eval date 2025-12-11
GLM-5.1
43.8
Rank #42/96 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner52.1
Rank #18/96 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner43.8%
Rank #39/185 · confidence 4
GPT-5.2
40.4%
Rank #64/185 · confidence 4
GLM-5.1
33.4
Rank #17/47 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner40.7
Rank #10/47 · confidence 3 · eval date 2025-12-11
GLM-5.1
12.5
Rank #16/35 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner18.8
Rank #11/35 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner64.6
Rank #18/56 · confidence 2 · eval date 2026-04-07
GPT-5.2
58.5
Rank #24/56 · confidence 3 · eval date 2025-12-11
GLM-5.1
77.6
Rank #15/55 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner80.8
Rank #11/55 · confidence 3 · eval date 2025-12-11
GLM-5.1
24.2
Rank #62/90 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner43.8
Rank #16/90 · confidence 3 · eval date 2025-12-11
GLM-5.1
86.8
Rank #38/96 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner90.3
Rank #19/96 · confidence 3 · eval date 2025-12-11
GLM-5.1
28.0
Rank #35/96 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner35.4
Rank #21/96 · confidence 3 · eval date 2025-12-11
GLM-5.1
40.2
Rank #28/99 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner42.2
Rank #22/99 · confidence 3 · eval date 2025-12-11
GLM-5.1
29.4
Rank #83/90 · confidence 2 · eval date 2026-04-07
GPT-5.2
winner79.7
Rank #39/90 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner1305.0
Rank #11/66 · confidence 2 · eval date 2026-04-07
GPT-5.2
1224.0
Rank #37/66 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner76.3
Rank #13/86 · confidence 2 · eval date 2026-04-07
GPT-5.2
75.4
Rank #21/86 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner97.7
Rank #7/84 · confidence 2 · eval date 2026-04-07
GPT-5.2
84.8
Rank #44/84 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner60.1
Rank #12/50 · confidence 2 · eval date 2026-04-07
GPT-5.2
46.5
Rank #29/50 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner68.0
Rank #18/25 · confidence 2 · eval date 2026-04-07
GPT-5.2
65.8
Rank #19/25 · confidence 3 · eval date 2025-12-11
GLM-5.1
winner48.9
Rank #34/53 · confidence 2 · eval date 2026-04-07
GPT-5.2
22.0
Rank #48/53 · 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-5.1 | GPT-5.2 |
|---|---|---|
Winner: GLM-5.1 | GLM-5.1 z-ai/glm-5.1 Audit score 78 70728088 | 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-5.1 | GPT-5.2 |
|---|---|---|
20 tests | GLM-5.1 speed / latency 22 tok/s / 9579ms input / output No data | GPT-5.2 speed / latency 52 tok/s / 2671ms input / output No data |
15 tests | GLM-5.1 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-5.1 speed / latency 58 tok/s / 14051ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
10 tests | GLM-5.1 speed / latency 54 tok/s / 12475ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
10 tests | GLM-5.1 speed / latency 42 tok/s / 15344ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
GLM-5.1 glm-5.1 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-5.1 glm-5.1 speed / latency No data input / output $0/M/$0/M | GPT-5.2 gpt-5.2 speed / latency No data input / output $0/M | |
GLM-5.1 glm-5.1 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-5.1 z-ai/glm-5.1 speed / latency No data input / output $0.017/M/$0.054/M | GPT-5.2 gpt-5.2 speed / latency No data input / output $0.171/M | |
GLM-5.1 glm-5.1 speed / latency No data input / output $0.050/request | GPT-5.2 gpt-5-2 speed / latency No data input / output $0.080/request |
Weighted outcome: GPT-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 |
|---|
