Data points: 121
Model compare
The readout for GLM-4.7 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 17.3 to 82.7.
Evidence depth
121 data points
Includes 28 benchmark rows, 0 audit samples, and 10 provider examples.
Selection signal
Start with GPT-5.2
The charts below split 38 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-4.7 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Model compare | GLM-4.7 | GPT-5.2 |
|---|---|---|
| Overall leader | Contender | Leading |
| Weighted overall score | 17.3 pts | 82.7 pts |
| Benchmark category leads | 1 categories | 5 categories |
| Operational advantages | Average speed | Cheapest input price, 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-4.7 | GPT-5.2 |
|---|---|---|
| Developer | Z.ai | OpenAI |
| Released | Dec 2025 | Dec 2025 |
| Parameters | No data | No data |
| Tokenizer | Other | GPT |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | z-ai/glm-4.7 | openai/gpt-5.2 |
| References | No data | No data |
This report only uses LMSpeed data for GLM-4.7 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
GLM-4.7
GLM-4.7 is stronger in benchmark categories (Reasoning) and operational dimensions (Average speed).
GPT-5.2
GPT-5.2 is stronger in benchmark categories (Agents, Coding, Knowledge, Math, Instruction following) and operational dimensions (Cheapest input price, 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-4.7
48.8
Avg. score
GPT-5.2
52.9
GPT-5.2 leads by 0.7
GPT-5.2 leads by 3.1
GLM-4.7 leads by 0.3
GPT-5.2 leads by 20.9
GPT-5.2 leads by 7.1
No data
GPT-5.2
GPT-5.2 leads by 2.8
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
GLM-4.7
39.0
Rank #82/84 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner53.0
Rank #50/84 · confidence 3 · eval date 2025-12-11
GLM-4.7
winner$2.20/M
Rank #68/162 · confidence 4
GPT-5.2
$14.00/M
Rank #133/162 · confidence 4
GLM-4.7
winner$1.00/M
Rank #75/162 · confidence 4
GPT-5.2
$4.81/M
Rank #132/162 · confidence 4
GLM-4.7
winner$0.600/M
Rank #80/162 · confidence 4
GPT-5.2
$1.75/M
Rank #120/162 · confidence 4
GLM-4.7
64.0
Rank #49/89 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner72.7
Rank #13/89 · confidence 3 · eval date 2025-12-11
GLM-4.7
1.7
Rank #48/73 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner11.6
Rank #20/73 · confidence 3 · eval date 2025-12-11
GLM-4.7
79.4%
Rank #66/125 · confidence 4
GPT-5.2
winner81.4%
Rank #54/125 · confidence 4
GLM-4.7
6.1%
Rank #127/187 · confidence 4
GPT-5.2
winner7.3%
Rank #109/187 · confidence 4
GLM-4.7
66.4%
Rank #127/188 · confidence 4
GPT-5.2
winner71.2%
Rank #110/188 · confidence 4
GLM-4.7
73.8
Rank #29/43 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner80.0
Rank #12/43 · confidence 3 · eval date 2025-12-11
GLM-4.7
45.1
Rank #40/96 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner52.1
Rank #18/96 · confidence 3 · eval date 2025-12-11
GLM-4.7
52.2
Rank #34/65 · confidence 2 · eval date 2025-10-01
GPT-5.2
52.2
Rank #34/65 · confidence 3 · eval date 2025-12-11
GLM-4.7
56.2%
Rank #48/115 · confidence 4
GPT-5.2
winner66.9%
Rank #36/115 · confidence 4
GLM-4.7
35.4%
Rank #110/185 · confidence 4
GPT-5.2
winner40.4%
Rank #64/185 · confidence 4
GLM-4.7
2.4
Rank #42/47 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner40.7
Rank #10/47 · confidence 3 · eval date 2025-12-11
GLM-4.7
26.1
Rank #51/56 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner58.5
Rank #24/56 · confidence 3 · eval date 2025-12-11
GLM-4.7
winner90.3
Rank #10/90 · confidence 2 · eval date 2025-10-01
GPT-5.2
79.7
Rank #39/90 · confidence 3 · eval date 2025-12-11
GLM-4.7
33.2
Rank #54/55 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner80.8
Rank #11/55 · confidence 3 · eval date 2025-12-11
GLM-4.7
29.3
Rank #44/90 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner43.8
Rank #16/90 · confidence 3 · eval date 2025-12-11
GLM-4.7
85.9
Rank #42/96 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner90.3
Rank #19/96 · confidence 3 · eval date 2025-12-11
GLM-4.7
25.1
Rank #44/96 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner35.4
Rank #21/96 · confidence 3 · eval date 2025-12-11
GLM-4.7
33.7
Rank #52/99 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner42.2
Rank #22/99 · confidence 3 · eval date 2025-12-11
GLM-4.7
winner1251.0
Rank #31/66 · confidence 2 · eval date 2025-10-01
GPT-5.2
1219.0
Rank #35/66 · confidence 3 · eval date 2025-12-11
GLM-4.7
67.9
Rank #44/86 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner75.4
Rank #21/86 · confidence 3 · eval date 2025-12-11
GLM-4.7
winner95.9
Rank #11/84 · confidence 2 · eval date 2025-10-01
GPT-5.2
84.8
Rank #44/84 · confidence 3 · eval date 2025-12-11
GLM-4.7
52.0
Rank #25/25 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner65.8
Rank #19/25 · confidence 3 · eval date 2025-12-11
GLM-4.7
40.0
Rank #37/50 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner46.5
Rank #29/50 · confidence 3 · eval date 2025-12-11
GLM-4.7
11.7
Rank #53/53 · confidence 2 · eval date 2025-10-01
GPT-5.2
winner22.0
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-4.7 | 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-4.7 | GPT-5.2 |
|---|---|---|
20 tests | GLM-4.7 speed / latency 64 tok/s / 7681ms input / output No data | GPT-5.2 speed / latency 56 tok/s / 1798ms input / output No data |
20 tests | GLM-4.7 speed / latency 39 tok/s / 32323ms input / output No data | GPT-5.2 speed / latency 52 tok/s / 2671ms input / output No data |
15 tests | GLM-4.7 speed / latency 134 tok/s / 1161ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
10 tests | GLM-4.7 speed / latency 420 tok/s / 2872ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
10 tests | GLM-4.7 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 94 tok/s / 11492ms input / output No data |
GLM-4.7 glm-4.7 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-4.7 glm-4.7 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-4.7 glm-4.7 speed / latency No data input / output $0.030/M/$0.121/M | GPT-5.2 gpt-5.2 speed / latency No data input / output $0.034/M | |
GLM-4.7 glm-4.7 speed / latency No data input / output $0.035/M/$0.139/M | GPT-5.2 gpt-5.2-chat-latest speed / latency No data input / output $0.212/M | |
GLM-4.7 GLM-4.7 speed / latency No data input / output $0.040/request | GPT-5.2 gpt-5.2-2025-12-11 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 |
|---|
