Data points: 125
Model compare
The readout for GLM-5 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 0 to 100.
Evidence depth
125 data points
Includes 30 benchmark rows, 0 audit samples, and 9 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 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Model compare | GLM-5 | GPT-5.2 |
|---|---|---|
| Overall leader | Contender | Leading |
| Weighted overall score | 0.0 pts | 100.0 pts |
| Benchmark category leads | 0 categories | 6 categories |
| Operational advantages | No data | Cheapest input price, Average speed, First-token latency, Free providers, Provider coverage |
| Context window | 204.8K 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 | GPT-5.2 |
|---|---|---|
| Developer | Z.ai | OpenAI |
| Released | Feb 2026 | Dec 2025 |
| Parameters | No data | No data |
| Tokenizer | Other | GPT |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | z-ai/glm-5 | openai/gpt-5.2 |
| References | No data | No data |
This report only uses LMSpeed data for GLM-5 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
GLM-5
GLM-5 does not clearly lead in the benchmark or operational dimensions shared by both models.
GPT-5.2
GPT-5.2 is stronger in benchmark categories (Agents, Coding, Reasoning, Knowledge, Math) and operational dimensions (Cheapest input price, 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
47.8
Avg. score
GPT-5.2
52.8
GPT-5.2 leads by 5.7
GPT-5.2 leads by 4.9
GPT-5.2 leads by 5.2
GPT-5.2 leads by 13.5
GPT-5.2 leads by 4.8
GLM-5
GPT-5.2
GPT-5.2 leads by 2.3
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
GLM-5
winner63.0
Rank #25/84 · confidence 4 · eval date 2026-03-01
GPT-5.2
53.0
Rank #50/84 · confidence 3 · eval date 2025-12-11
GLM-5
winner$3.20/M
Rank #89/162 · confidence 4
GPT-5.2
$14.00/M
Rank #133/162 · confidence 4
GLM-5
winner$1.55/M
Rank #93/162 · confidence 4
GPT-5.2
$4.81/M
Rank #132/162 · confidence 4
GLM-5
winner$1.00/M
Rank #98/162 · confidence 4
GPT-5.2
$1.75/M
Rank #120/162 · confidence 4
GLM-5
winner81.2
Rank #12/25 · confidence 4 · eval date 2026-03-01
GPT-5.2
61.4
Rank #22/25 · confidence 3 · eval date 2025-12-11
GLM-5
63.3
Rank #52/89 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner72.7
Rank #13/89 · confidence 3 · eval date 2025-12-11
GLM-5
2.0
Rank #46/73 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner11.6
Rank #20/73 · confidence 3 · eval date 2025-12-11
GLM-5
winner85.7%
Rank #23/125 · confidence 4 · eval date 2026-03-01
GPT-5.2
81.4%
Rank #54/125 · confidence 4
GLM-5
winner27.2%
Rank #38/187 · confidence 4
GPT-5.2
7.3%
Rank #109/187 · confidence 4
GLM-5
winner82.0%
Rank #67/188 · confidence 4
GPT-5.2
71.2%
Rank #110/188 · confidence 4
GLM-5
23.4
Rank #19/33 · confidence 1 · eval date 2026-03-01
GPT-5.2
winner53.5
Rank #6/33 · confidence 3 · eval date 2025-12-11
GLM-5
77.8
Rank #17/43 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner80.0
Rank #12/43 · confidence 3 · eval date 2025-12-11
GLM-5
winner59.4
Rank #16/65 · confidence 4 · eval date 2026-03-01
GPT-5.2
52.2
Rank #34/65 · confidence 3 · eval date 2025-12-11
GLM-5
46.2
Rank #36/96 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner52.1
Rank #18/96 · confidence 3 · eval date 2025-12-11
GLM-5
55.1
Rank #27/37 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner55.6
Rank #25/37 · confidence 3 · eval date 2025-12-11
GLM-5
winner46.2%
Rank #32/185 · confidence 4
GPT-5.2
40.4%
Rank #64/185 · confidence 4
GLM-5
16.4
Rank #31/47 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner40.7
Rank #10/47 · confidence 3 · eval date 2025-12-11
GLM-5
2.1
Rank #30/35 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner18.8
Rank #11/35 · confidence 3 · eval date 2025-12-11
GLM-5
57.2
Rank #25/56 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner58.5
Rank #24/56 · confidence 3 · eval date 2025-12-11
GLM-5
77.9
Rank #14/55 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner80.8
Rank #11/55 · confidence 3 · eval date 2025-12-11
GLM-5
26.9
Rank #48/90 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner43.8
Rank #16/90 · confidence 3 · eval date 2025-12-11
GLM-5
82.0
Rank #56/96 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner90.3
Rank #19/96 · confidence 3 · eval date 2025-12-11
GLM-5
27.2
Rank #37/96 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner35.4
Rank #21/96 · confidence 3 · eval date 2025-12-11
GLM-5
39.5
Rank #34/99 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner42.2
Rank #22/99 · confidence 3 · eval date 2025-12-11
GLM-5
34.0
Rank #80/90 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner79.7
Rank #39/90 · confidence 3 · eval date 2025-12-11
GLM-5
winner1274.0
Rank #23/66 · confidence 4 · eval date 2026-03-01
GPT-5.2
1219.0
Rank #35/66 · confidence 3 · eval date 2025-12-11
GLM-5
72.3
Rank #33/86 · confidence 4 · eval date 2026-03-01
GPT-5.2
winner75.4
Rank #21/86 · confidence 3 · eval date 2025-12-11
GLM-5
winner98.2
Rank #6/84 · confidence 4 · eval date 2026-03-01
GPT-5.2
84.8
Rank #44/84 · confidence 3 · eval date 2025-12-11
GLM-5
winner51.0
Rank #21/50 · confidence 4 · eval date 2026-03-01
GPT-5.2
46.5
Rank #29/50 · confidence 3 · eval date 2025-12-11
GLM-5
winner43.9
Rank #39/53 · confidence 4 · eval date 2026-03-01
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 | GPT-5.2 |
|---|---|---|
| No completed audits are available from shared providers yet. | ||
Speed aggregates and input/output pricing share each provider row for real API selection and migration cost checks.
| Provider | GLM-5 | GPT-5.2 |
|---|---|---|
20 tests | GLM-5 speed / latency 23 tok/s / 39702ms input / output No data | GPT-5.2 speed / latency 52 tok/s / 2671ms input / output No data |
15 tests | GLM-5 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 56 tok/s / 1798ms input / output No data |
10 tests | GLM-5 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 speed / latency 41 tok/s / 18111ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
5 tests | GLM-5 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 65 tok/s / 4770ms input / output No data |
GLM-5 glm-5 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 glm-5 speed / latency No data input / output $0.068/M/$0.219/M | GPT-5.2 gpt-5.2 speed / latency No data input / output $0.120/M | |
GLM-5 GLM-5 speed / latency No data input / output $0.040/request | GPT-5.2 gpt-5.2 speed / latency No data input / output $3.50/M | |
GLM-5 GLM-5 speed / latency No data input / output $0.040/request | GPT-5.2 gpt-5.2 speed / latency No data input / output $3.50/M |
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 |
|---|
