Data points: 97
Model compare
DeepSeek V4 Flash vs GPT-5.2
The readout for DeepSeek V4 Flash and GPT-5.2, before the detailed comparison sheet.
Key Takeaways
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 28 to 72.
Evidence depth
97 data points
Includes 16 benchmark rows, 0 audit samples, and 10 provider examples.
Selection signal
Start with GPT-5.2
The charts below split 26 high-signal samples across speed, scores, and audit health.
Change comparison
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.
Comparison sheet
This report only uses LMSpeed data for DeepSeek V4 Flash and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Model compare | DeepSeek V4 Flash | GPT-5.2 |
|---|---|---|
| Overall leader | Contender | Leading |
| Weighted overall score | 28.0 pts | 72.0 pts |
| Benchmark category leads | 1 categories | 4 categories |
| Operational advantages | Cheapest input price, Average speed, Free providers | First-token latency, Provider coverage |
| Context window | 1.0M tokens | 400K tokens |
| Max output | 384K tokens | 128K tokens |
| Modalities | Input Text Output Text | Input FileImageText Output Text |
| Features | Text inputText outputTool callingStructured outputsJSON modeReasoning | Text inputImage inputFile inputText outputTool callingStructured outputsJSON modeReasoning |
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 metadata
Model metadata
| Model compare | DeepSeek V4 Flash | 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-flash | openai/gpt-5.2 |
| References | No data | No data |
When to choose each model
This report only uses LMSpeed data for DeepSeek V4 Flash and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
DeepSeek V4 Flash
DeepSeek V4 Flash is stronger in benchmark categories (Reasoning) and operational dimensions (Cheapest input price, Average speed, Free providers).
GPT-5.2
GPT-5.2 is stronger in benchmark categories (Agents, Coding, Knowledge, Math) and operational dimensions (First-token latency, Provider coverage).
Benchmark score comparison
Third-party benchmark profile synced into LMSpeed; only metrics available for both models are shown.
Category performance
Compare benchmark category scores on a 0-100 scale. Select a category to inspect the gap.
- Model A coverage
- 5 / 8
- Model B coverage
- 7 / 8
- Shared
- 5 shared categories
Avg. score
DeepSeek V4 Flash
43.3
Avg. score
GPT-5.2
51.8
Agents
GPT-5.2 leads by 1.6
Coding
GPT-5.2 leads by 12.4
Reasoning
DeepSeek V4 Flash leads by 0.2
Knowledge
GPT-5.2 leads by 13.0
Math
GPT-5.2 leads by 22.7
Multilingual
No data
Multimodal
GPT-5.2
Instruction following
GPT-5.2
Professional benchmark details
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
Professional benchmark details
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
DeepSeek V4 Flash
51.0
Rank #78/111 · confidence 2 · eval date 2026-07-31
GPT-5.2
51.0
Rank #78/111 · confidence 4 · eval date 2025-12-11
DeepSeek V4 Flash
winner$0.280/M
Rank #10/186 · confidence 4
GPT-5.2
$14.00/M
Rank #156/186 · confidence 4
DeepSeek V4 Flash
winner$0.168/M
Rank #13/186 · confidence 4
GPT-5.2
$4.81/M
Rank #155/186 · confidence 4
DeepSeek V4 Flash
winner$0.130/M
Rank #18/186 · confidence 4
GPT-5.2
$1.75/M
Rank #140/186 · confidence 4
DeepSeek V4 Flash
86.4%
Rank #17/129 · confidence 2 · eval date 2026-07-31
GPT-5.2
winner87.4%
Rank #11/129 · confidence 4
DeepSeek V4 Flash
winner30.3%
Rank #55/216 · confidence 4
GPT-5.2
8.0%
Rank #134/216 · confidence 4
DeepSeek V4 Flash
winner86.7%
Rank #56/218 · confidence 4
GPT-5.2
71.2%
Rank #138/218 · confidence 4
DeepSeek V4 Flash
78.6
Rank #19/49 · confidence 2 · eval date 2026-07-31
GPT-5.2
winner80.0
Rank #14/49 · confidence 4 · eval date 2025-12-11
DeepSeek V4 Flash
52.3
Rank #43/50 · confidence 2 · eval date 2026-07-31
GPT-5.2
winner55.6
Rank #33/50 · confidence 4 · eval date 2025-12-11
DeepSeek V4 Flash
46.0
Rank #65/87 · confidence 2 · eval date 2026-07-31
GPT-5.2
winner46.5
Rank #64/87 · confidence 4 · eval date 2025-12-11
DeepSeek V4 Flash
winner78.4
Rank #11/63 · confidence 2 · eval date 2026-07-31
GPT-5.2
57.5
Rank #31/63 · confidence 4 · eval date 2025-12-11
DeepSeek V4 Flash
52.8
Rank #69/83 · confidence 2 · eval date 2026-07-31
GPT-5.2
winner77.2
Rank #23/83 · confidence 4 · eval date 2025-12-11
DeepSeek V4 Flash
winner1230.0
Rank #43/78 · confidence 2 · eval date 2026-07-31
GPT-5.2
1209.0
Rank #47/78 · confidence 4 · eval date 2025-12-11
DeepSeek V4 Flash
winner54.4
Rank #18/49 · confidence 2 · eval date 2026-07-31
GPT-5.2
46.5
Rank #28/49 · confidence 4 · eval date 2025-12-11
DeepSeek V4 Flash
53.5
Rank #31/32 · confidence 2 · eval date 2026-07-31
GPT-5.2
winner65.8
Rank #25/32 · confidence 4 · eval date 2025-12-11
DeepSeek V4 Flash
winner34.6
Rank #64/76 · confidence 2 · eval date 2026-07-31
GPT-5.2
23.1
Rank #71/76 · confidence 4 · eval date 2025-12-11
API audit comparison
Latest completed audits from shared providers, with four safety and integrity score groups plus report links.
API audit comparison
Latest completed audits from shared providers, with four safety and integrity score groups plus report links.
| Provider | DeepSeek V4 Flash | GPT-5.2 |
|---|---|---|
| No completed audits are available from shared providers yet. | ||
Provider examples
Speed aggregates and input/output pricing share each provider row for real API selection and migration cost checks.
Provider examples
Speed aggregates and input/output pricing share each provider row for real API selection and migration cost checks.
| Provider | DeepSeek V4 Flash | GPT-5.2 |
|---|---|---|
OpenCode210 tests | DeepSeek V4 Flash speed / latency 81 tok/s / 12508ms input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
小水管 API25 tests | DeepSeek V4 Flash speed / latency 83 tok/s / 5114ms input / output No data | GPT-5.2 speed / latency 71 tok/s / 2893ms input / output No data |
星见雅 API20 tests | DeepSeek V4 Flash speed / latency 47 tok/s / 10092ms input / output No data | GPT-5.2 speed / latency 52 tok/s / 2671ms input / output No data |
N1N15 tests | DeepSeek V4 Flash speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 56 tok/s / 1798ms input / output No data |
PackyCode15 tests | DeepSeek V4 Flash speed / latency 122 tok/s / 2345ms input / output No data | GPT-5.2 speed / latency 94 tok/s / 11492ms input / output No data |
DeepSeek V4 Flash deepseek-v4-flash speed / latency No data input / output $0/M/$0/M | GPT-5.2 gpt-5-2 speed / latency No data input / output $0/M/$0/M | |
DeepSeek V4 Flash deepseek-v4-flash 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/$0.959/M | |
DeepSeek V4 Flash deepseek-v4-flash-0731 speed / latency No data input / output $0/request | GPT-5.2 gpt-5.2-2025-12-11 speed / latency No data input / output $0/request | |
DeepSeek V4 Flash AMD/deepseek-v4-flash speed / latency No data input / output $0/request | GPT-5.2 gpt-5-2 speed / latency No data input / output $0/request | |
DeepSeek V4 Flash deepseek-v4-flash speed / latency No data input / output $0.0000044/M/$0.0000132/M | GPT-5.2 gpt-5.2 speed / latency No data input / output $1.75/M/$14.00/M |
FAQ
Weighted outcome: GPT-5.2. Benchmark capability categories carry 80%, while price, API performance, and availability carry 20%.
- Why is this comparison indexable?
- It has 6 verifiable comparison points, and both models have pricing or benchmark data.
- Are missing metrics invented?
- No. Metrics without LMSpeed data are omitted from this report.