Data points: 115
Model compare
The readout for DeepSeek V3.2 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 4 to 96.
Evidence depth
115 data points
Includes 25 benchmark rows, 0 audit samples, and 7 provider examples.
Selection signal
Start with GPT-5.2
The charts below split 32 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 DeepSeek V3.2 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Model compare | DeepSeek V3.2 | GPT-5.2 |
|---|---|---|
| Overall leader | Contender | Leading |
| Weighted overall score | 4.0 pts | 96.0 pts |
| Benchmark category leads | 0 categories | 6 categories |
| Operational advantages | Cheapest input price | Average speed, First-token latency, Free providers, Provider coverage |
| Context window | 163.8K tokens | 400K tokens |
| Max output | 65.5K 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 | DeepSeek V3.2 | GPT-5.2 |
|---|---|---|
| Developer | DeepSeek | OpenAI |
| Released | Dec 2025 | Dec 2025 |
| Parameters | No data | No data |
| Tokenizer | DeepSeek | GPT |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | deepseek/deepseek-v3.2 | openai/gpt-5.2 |
| References | No data | No data |
This report only uses LMSpeed data for DeepSeek V3.2 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
DeepSeek V3.2
DeepSeek V3.2 has these operational advantages: Cheapest input price.
GPT-5.2
GPT-5.2 is stronger in benchmark categories (Agents, 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
DeepSeek V3.2
46.3
Avg. score
GPT-5.2
52.9
GPT-5.2 leads by 8.9
GPT-5.2 leads by 5.2
GPT-5.2 leads by 3.4
GPT-5.2 leads by 16.3
GPT-5.2 leads by 6.9
No data
GPT-5.2
GPT-5.2 leads by 8.7
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
DeepSeek V3.2
winner$0.420/M
Rank #18/162 · confidence 4
GPT-5.2
$14.00/M
Rank #133/162 · confidence 4
DeepSeek V3.2
winner$0.315/M
Rank #26/162 · confidence 4
GPT-5.2
$4.81/M
Rank #132/162 · confidence 4
DeepSeek V3.2
winner$0.280/M
Rank #44/162 · confidence 4
GPT-5.2
$1.75/M
Rank #120/162 · confidence 4
DeepSeek V3.2
39.0
Rank #76/89 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner72.7
Rank #13/89 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
winner86.2%
Rank #15/125 · confidence 4
GPT-5.2
81.4%
Rank #54/125 · confidence 4
DeepSeek V3.2
0.9
Rank #60/73 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner11.6
Rank #20/73 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
winner22.2%
Rank #50/187 · confidence 4
GPT-5.2
7.3%
Rank #109/187 · confidence 4
DeepSeek V3.2
winner84.0%
Rank #53/188 · confidence 4
GPT-5.2
71.2%
Rank #110/188 · confidence 4
DeepSeek V3.2
winner67.6
Rank #5/65 · confidence 1 · eval date 2025-12-01
GPT-5.2
52.2
Rank #34/65 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
winner86.2%
Rank #5/115 · confidence 4
GPT-5.2
66.9%
Rank #36/115 · confidence 4
DeepSeek V3.2
5.1
Rank #29/33 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner53.5
Rank #6/33 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
38.7
Rank #65/96 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner52.1
Rank #18/96 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
38.9%
Rank #82/185 · confidence 4
GPT-5.2
winner40.4%
Rank #64/185 · confidence 4
DeepSeek V3.2
22.1
Rank #26/47 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner40.7
Rank #10/47 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
2.1
Rank #30/35 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner18.8
Rank #11/35 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
40.4
Rank #36/56 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner58.5
Rank #24/56 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
winner93.5
Rank #5/90 · confidence 1 · eval date 2025-12-01
GPT-5.2
79.7
Rank #39/90 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
24.2
Rank #62/90 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner43.8
Rank #16/90 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
75.1
Rank #70/96 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner90.3
Rank #19/96 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
10.5
Rank #69/96 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner35.4
Rank #21/96 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
24.7
Rank #67/99 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner42.2
Rank #22/99 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
1200.0
Rank #43/66 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner1219.0
Rank #35/66 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
49.0
Rank #58/86 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner75.4
Rank #21/86 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
29.6
Rank #48/50 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner46.5
Rank #29/50 · confidence 3 · eval date 2025-12-11
DeepSeek V3.2
78.9
Rank #56/84 · confidence 1 · eval date 2025-12-01
GPT-5.2
winner84.8
Rank #44/84 · confidence 3 · eval date 2025-12-11
Latest completed audits from shared providers, with four safety and integrity score groups plus report links.
| Provider | DeepSeek V3.2 | 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 | DeepSeek V3.2 | GPT-5.2 |
|---|---|---|
45 tests | DeepSeek V3.2 speed / latency 235 tok/s / 1787ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
30 tests | DeepSeek V3.2 speed / latency 37 tok/s / 1522ms input / output No data | GPT-5.2 speed / latency 56 tok/s / 1798ms input / output No data |
30 tests | DeepSeek V3.2 speed / latency 25 tok/s / 2484ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
20 tests | DeepSeek V3.2 speed / latency 21 tok/s / 15336ms input / output No data | GPT-5.2 speed / latency 52 tok/s / 2671ms input / output No data |
15 tests | DeepSeek V3.2 speed / latency 95 tok/s / 3207ms input / output No data | GPT-5.2 speed / latency 48 tok/s / 1543ms input / output No data |
DeepSeek V3.2 deepseek-v3.2 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 | |
DeepSeek V3.2 deepseek-v3.2 speed / latency No data input / output $0/request | GPT-5.2 gpt-5.2 speed / latency No data input / output $0/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 |
|---|
