Data points: 126
Model compare
The readout for DeepSeek V4 Pro 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
126 data points
Includes 28 benchmark rows, 1 audit samples, and 9 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 DeepSeek V4 Pro and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Model compare | DeepSeek V4 Pro | 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 | Cheapest input price | Average speed, First-token latency, Free providers, Provider coverage |
| Context window | 1.0M tokens | 400K tokens |
| Max output | 384K 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 V4 Pro | GPT-5.2 |
|---|---|---|
| Developer | DeepSeek | OpenAI |
| Released | Apr 2026 | Dec 2025 |
| Parameters | No data | No data |
| Tokenizer | DeepSeek | GPT |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | deepseek/deepseek-v4-pro | openai/gpt-5.2 |
| References | No data | No data |
This report only uses LMSpeed data for DeepSeek V4 Pro and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
DeepSeek V4 Pro
DeepSeek V4 Pro is stronger in benchmark categories (Agents) and operational dimensions (Cheapest input price).
GPT-5.2
GPT-5.2 is stronger in benchmark categories (Coding, Reasoning, Knowledge, Math, Instruction following) 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 V4 Pro
47.9
Avg. score
GPT-5.2
52.9
DeepSeek V4 Pro leads by 3.5
GPT-5.2 leads by 7.6
GPT-5.2 leads by 0.9
GPT-5.2 leads by 13.3
GPT-5.2 leads by 20.0
No data
GPT-5.2
GPT-5.2 leads by 1.6
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
DeepSeek V4 Pro
winner65.0
Rank #21/84 · confidence 2 · eval date 2026-04-24
GPT-5.2
53.0
Rank #50/84 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner$0.870/M
Rank #34/162 · confidence 4
GPT-5.2
$14.00/M
Rank #133/162 · confidence 4
DeepSeek V4 Pro
winner$0.544/M
Rank #47/162 · confidence 4
GPT-5.2
$4.81/M
Rank #132/162 · confidence 4
DeepSeek V4 Pro
winner$0.435/M
Rank #66/162 · confidence 4
GPT-5.2
$1.75/M
Rank #120/162 · confidence 4
DeepSeek V4 Pro
winner87.5%
Rank #9/125 · confidence 2 · eval date 2026-04-24
GPT-5.2
81.4%
Rank #54/125 · confidence 4
DeepSeek V4 Pro
66.3
Rank #39/89 · confidence 2 · eval date 2026-04-24
GPT-5.2
winner72.7
Rank #13/89 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner12.9
Rank #18/73 · confidence 2 · eval date 2026-04-24
GPT-5.2
11.6
Rank #20/73 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner90.5%
Rank #18/188 · confidence 4
GPT-5.2
71.2%
Rank #110/188 · confidence 4
DeepSeek V4 Pro
winner33.5%
Rank #24/187 · confidence 4
GPT-5.2
7.3%
Rank #109/187 · confidence 4
DeepSeek V4 Pro
49.9
Rank #8/33 · confidence 2 · eval date 2026-04-24
GPT-5.2
winner53.5
Rank #6/33 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner80.6
Rank #8/43 · confidence 2 · eval date 2026-04-24
GPT-5.2
80.0
Rank #12/43 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
50.0
Rank #22/96 · confidence 2 · eval date 2026-04-24
GPT-5.2
winner52.1
Rank #18/96 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
55.4
Rank #26/37 · confidence 2 · eval date 2026-04-24
GPT-5.2
winner55.6
Rank #25/37 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner46.4%
Rank #31/185 · confidence 4
GPT-5.2
40.4%
Rank #64/185 · confidence 4
DeepSeek V4 Pro
50.6
Rank #39/65 · confidence 2 · eval date 2026-04-24
GPT-5.2
winner52.2
Rank #34/65 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner82.0
Rank #4/56 · confidence 2 · eval date 2026-04-24
GPT-5.2
58.5
Rank #24/56 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner94.0
Rank #4/90 · confidence 2 · eval date 2026-04-24
GPT-5.2
79.7
Rank #39/90 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
71.8
Rank #21/55 · confidence 2 · eval date 2026-04-24
GPT-5.2
winner80.8
Rank #11/55 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
43.3
Rank #18/90 · confidence 2 · eval date 2026-04-24
GPT-5.2
winner43.8
Rank #16/90 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner44.3
Rank #17/99 · confidence 2 · eval date 2026-04-24
GPT-5.2
42.2
Rank #22/99 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
88.8
Rank #29/96 · confidence 2 · eval date 2026-04-24
GPT-5.2
winner90.3
Rank #19/96 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner35.9
Rank #19/96 · confidence 2 · eval date 2026-04-24
GPT-5.2
35.4
Rank #21/96 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner1260.0
Rank #28/66 · confidence 2 · eval date 2026-04-24
GPT-5.2
1219.0
Rank #35/66 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner76.5
Rank #12/86 · confidence 2 · eval date 2026-04-24
GPT-5.2
75.4
Rank #21/86 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner96.2
Rank #10/84 · confidence 2 · eval date 2026-04-24
GPT-5.2
84.8
Rank #44/84 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner83.4
Rank #11/25 · confidence 2 · eval date 2026-04-24
GPT-5.2
65.8
Rank #19/25 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner67.4
Rank #19/53 · confidence 2 · eval date 2026-04-24
GPT-5.2
22.0
Rank #48/53 · confidence 3 · eval date 2025-12-11
DeepSeek V4 Pro
winner50.3
Rank #23/50 · confidence 2 · eval date 2026-04-24
GPT-5.2
46.5
Rank #29/50 · 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 V4 Pro | GPT-5.2 |
|---|---|---|
Winner: DeepSeek V4 Pro | DeepSeek V4 Pro deepseek-v4-pro Audit score 77 70728084 | 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 | DeepSeek V4 Pro | GPT-5.2 |
|---|---|---|
20 tests | DeepSeek V4 Pro speed / latency 26 tok/s / 14879ms input / output No data | GPT-5.2 speed / latency 52 tok/s / 2671ms input / output No data |
15 tests | DeepSeek V4 Pro 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 | DeepSeek V4 Pro speed / latency 27 tok/s / 51460ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
10 tests | DeepSeek V4 Pro 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 | DeepSeek V4 Pro speed / latency 41 tok/s / 5113ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
DeepSeek V4 Pro deepseek-ai/deepseek-v4-pro speed / latency No data input / output $0/request | GPT-5.2 gpt-5-2 speed / latency No data input / output $0.080/request | |
DeepSeek V4 Pro deepseek-v4-pro 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 | |
DeepSeek V4 Pro deepseek-v4-pro speed / latency No data input / output $0/M/$0/M | GPT-5.2 gpt-5.2 speed / latency No data input / output $0/M | |
DeepSeek V4 Pro deepseek-v4-pro 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 |
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 |
|---|
