Data points: 129
Model compare
The readout for GLM-5.2 and Kimi K2.7 Code, 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 64 to 36.
Evidence depth
129 data points
Includes 29 benchmark rows, 1 audit samples, and 8 provider examples.
Selection signal
Start with GLM-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-5.2 and Kimi K2.7 Code: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Model compare | GLM-5.2 | Kimi K2.7 Code |
|---|---|---|
| Overall leader | Leading | Contender |
| Weighted overall score | 64.0 pts | 36.0 pts |
| Benchmark category leads | 3 categories | 2 categories |
| Operational advantages | Cheapest input price, Average speed, Free providers, Provider coverage | First-token latency |
| Context window | 1.0M tokens | 262.1K tokens |
| Max output | 131.1K tokens | 262.1K tokens |
| Modalities | Input Text Output Text | Input Text |
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 | Kimi K2.7 Code |
|---|---|---|
| Developer | Z.ai | MoonshotAI |
| Released | Jun 2026 | Jun 2026 |
| Parameters | No data | No data |
| Tokenizer | Other | Other |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | z-ai/glm-5.2 | moonshotai/kimi-k2.7-code |
| References | No data | No data |
This report only uses LMSpeed data for GLM-5.2 and Kimi K2.7 Code: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
GLM-5.2
GLM-5.2 is stronger in benchmark categories (Agents, Knowledge, Instruction following) and operational dimensions (Cheapest input price, Average speed, Free providers, Provider coverage).
Kimi K2.7 Code
Kimi K2.7 Code is stronger in benchmark categories (Coding, Reasoning) and operational dimensions (First-token latency).
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
Kimi K2.7 Code
54
GLM-5.2 leads by 6.8
Kimi K2.7 Code leads by 0.3
Kimi K2.7 Code leads by 2.3
GLM-5.2 leads by 8.6
GLM-5.2
No data
No data
GLM-5.2 leads by 3.6
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
GLM-5.2
winner215.2 tok/s
Rank #11/73 · confidence 4
Kimi K2.7 Code
41.8 tok/s
Rank #68/73 · confidence 4
GLM-5.2
winner0.83 s
Rank #22/73 · confidence 4
Kimi K2.7 Code
1.26 s
Rank #37/73 · confidence 4
GLM-5.2
winner10.13 s
Rank #33/73 · confidence 4
Kimi K2.7 Code
54.57 s
Rank #65/73 · confidence 4
GLM-5.2
$4.40/M
Rank #101/169 · confidence 4
Kimi K2.7 Code
winner$4.00/M
Rank #96/169 · confidence 4
GLM-5.2
$2.15/M
Rank #108/169 · confidence 4
Kimi K2.7 Code
winner$1.71/M
Rank #99/169 · confidence 4
GLM-5.2
$1.40/M
Rank #121/169 · confidence 4
Kimi K2.7 Code
winner$0.950/M
Rank #99/169 · confidence 4
GLM-5.2
winner20.9
Rank #10/77 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
10.0
Rank #24/77 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner40.1%
Rank #14/193 · confidence 4
Kimi K2.7 Code
32.8%
Rank #30/193 · confidence 4
GLM-5.2
winner71.3
Rank #15/94 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
66.3
Rank #41/94 · confidence 1 · eval date 2026-06-12
GLM-5.2
89.5%
Rank #28/194 · confidence 4
Kimi K2.7 Code
winner89.6%
Rank #27/194 · confidence 4
GLM-5.2
winner63.7
Rank #3/4 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
53.6
Rank #4/4 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner55.0
Rank #10/13 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
49.7
Rank #12/13 · confidence 1 · eval date 2026-06-12
GLM-5.2
50.4
Rank #42/71 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
winner63.6
Rank #11/71 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner68.8
Rank #17/64 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
60.8
Rank #20/64 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner50.5%
Rank #18/191 · confidence 4
Kimi K2.7 Code
47.5%
Rank #25/191 · confidence 4
GLM-5.2
winner50.5
Rank #22/101 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
47.5
Rank #32/101 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner40.1
Rank #13/101 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
32.8
Rank #29/101 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner51.1
Rank #13/104 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
42.0
Rank #26/104 · confidence 1 · eval date 2026-06-12
GLM-5.2
89.5
Rank #29/101 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
winner89.6
Rank #28/101 · confidence 1 · eval date 2026-06-12
GLM-5.2
25.1
Rank #62/95 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
winner38.6
Rank #30/95 · confidence 1 · eval date 2026-06-12
GLM-5.2
28.1
Rank #89/95 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
winner80.3
Rank #37/95 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner1341.0
Rank #2/69 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
1300.0
Rank #15/69 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner73.3
Rank #26/86 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
63.1
Rank #50/86 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner99.1
Rank #1/84 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
90.1
Rank #35/84 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner76.8
Rank #7/26 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
76.0
Rank #9/26 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner50.5
Rank #10/55 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
34.3
Rank #27/55 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner1510.0
Rank #10/60 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
1186.0
Rank #27/60 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner43.1
Rank #12/60 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
29.6
Rank #27/60 · confidence 1 · eval date 2026-06-12
GLM-5.2
winner81.2
Rank #15/59 · confidence 2 · eval date 2026-06-16
Kimi K2.7 Code
68.2
Rank #21/59 · confidence 1 · eval date 2026-06-12
Latest completed audits from shared providers, with four safety and integrity score groups plus report links.
| Provider | GLM-5.2 | Kimi K2.7 Code |
|---|---|---|
Winner: Kimi K2.7 Code | GLM-5.2 glm-5.2 No audit yet | Kimi K2.7 Code kimi-k2.7 code Audit score 78 70728088 |
Speed aggregates and input/output pricing share each provider row for real API selection and migration cost checks.
| Provider | GLM-5.2 | Kimi K2.7 Code |
|---|---|---|
20 tests | GLM-5.2 speed / latency 62 tok/s / 8564ms input / output No data | Kimi K2.7 Code speed / latency 46 tok/s / 3665ms input / output No data |
0 tests | GLM-5.2 speed / latency N/A / N/A input / output No data | Kimi K2.7 Code speed / latency N/A / N/A input / output No data |
0 tests | GLM-5.2 speed / latency N/A / N/A input / output No data | Kimi K2.7 Code speed / latency N/A / N/A input / output No data |
0 tests | GLM-5.2 speed / latency N/A / N/A input / output No data | Kimi K2.7 Code speed / latency N/A / N/A input / output No data |
0 tests | GLM-5.2 GLM-5.2 speed / latency N/A / N/A input / output $0.080/request | Kimi K2.7 Code kimi-k2.7-code speed / latency N/A / N/A input / output $3.25/M |
GLM-5.2 glm-5.2 speed / latency No data input / output $0/M/$0/M | Kimi K2.7 Code kimi-k2-7-code speed / latency No data input / output $0.049/M | |
GLM-5.2 z-ai/glm-5.2 speed / latency No data input / output $0.050/request | Kimi K2.7 Code kimi-k2.7-code speed / latency No data input / output $0.100/request | |
GLM-5.2 GLM-5.2 speed / latency No data input / output $0.080/request | Kimi K2.7 Code kimi-k2.7-code speed / latency No data input / output $3.25/M |
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 inputText outputTool callingStructured outputsJSON modeReasoning |
|---|
