Data points: 127
The readout for DeepSeek V3.2 and GPT-5.3 Codex, before the detailed comparison sheet.
Decision read
GPT-5.3 Codex
GPT-5.3 Codex currently has the stronger profile, with verified wins split 2 to 4.
Evidence depth
127 data points
Includes 31 benchmark rows, 0 audit samples, and 8 provider examples.
Selection signal
Start with GPT-5.3 Codex
The charts below split 39 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.
Model compare DeepSeek V3.2 vs GPT-5.3 Codexdeepseek-v3-2-vs-gpt-5-3-codex | Model A DeepSeek V3.2 | Model B GPT-5.3 Codex |
|---|---|---|
| Overall leader | Contender | Leading |
| Verified metric wins | 2 wins | 4 wins |
| Where it leads | Free providers, Recent tests | Cheapest input price, Average speed, First-token latency, Provider coverage |
| Model metadata | DeepSeek V3.2 exposes 131.1K tokens; notable signals: Text input, Text output, Tool calling, Structured outputs. | GPT-5.3 Codex exposes 400K tokens; notable signals: Text input, Image input, File input, Text output. |
| Developer | DeepSeek | OpenAI |
| Context window | 131.1K tokens | 400K tokens |
| Max output | 64K tokens | 128K tokens |
| Released | Dec 2025 | Feb 2026 |
| Modalities | Input Text Output Text | Input TextImageFile Output Text |
| Features | Text inputText outputTool callingStructured outputsJSON modeReasoning | Text inputImage inputFile inputText outputTool callingStructured outputsJSON modeReasoning |
| Parameters | No data | No data |
| Tokenizer | DeepSeek | GPT |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | deepseek/deepseek-v3.2 | openai/gpt-5.3-codex |
| References | No data | No data |
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
54.3
Avg. score
GPT-5.3 Codex
67.1
Selected category
Agents
GPT-5.3 Codex leads by 27.8
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
DeepSeek V3.2
56.0
Rank #38/82 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner85.0
Rank #8/82 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
winner$0.420/M
Rank #12/95 · confidence 4
GPT-5.3 Codex
$14.00/M
Rank #75/95 · confidence 4
DeepSeek V3.2
winner$0.315/M
Rank #19/95 · confidence 4
GPT-5.3 Codex
$4.81/M
Rank #75/95 · confidence 4
DeepSeek V3.2
winner$0.280/M
Rank #25/95 · confidence 4
GPT-5.3 Codex
$1.75/M
Rank #69/95 · confidence 4
DeepSeek V3.2
39.0
Rank #49/57 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner74.0
Rank #4/57 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
47.4
Rank #40/57 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner93.0
Rank #4/57 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
0.9
Rank #36/44 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner16.9
Rank #6/44 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
75.1%
Rank #57/103 · confidence 4
GPT-5.3 Codex
winner91.5%
Rank #6/103 · confidence 4
DeepSeek V3.2
10.5%
Rank #54/103 · confidence 4
GPT-5.3 Codex
winner39.9%
Rank #8/103 · confidence 4
DeepSeek V3.2
winner60.9
Rank #4/10 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
58.2
Rank #9/10 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
34.6
Rank #36/61 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner53.1
Rank #5/61 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
32.6
Rank #32/59 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner53.0
Rank #5/59 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
38.7
Rank #41/63 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner53.2
Rank #7/63 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
38.7%
Rank #53/101 · confidence 4
GPT-5.3 Codex
winner53.2%
Rank #8/101 · confidence 4
DeepSeek V3.2
56.8
Rank #37/69 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner86.7
Rank #10/69 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
70.6
Rank #24/51 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner100.0
Rank #1/51 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
winner93.5
Rank #1/58 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
86.9
Rank #16/58 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
24.2
Rank #41/58 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner51.8
Rank #3/58 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
75.1
Rank #43/63 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner91.5
Rank #4/63 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
10.5
Rank #41/63 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner39.9
Rank #5/63 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
24.7
Rank #41/66 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner44.3
Rank #6/66 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
61.8
Rank #33/67 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner91.2
Rank #7/67 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
67.0
Rank #21/50 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner96.9
Rank #5/50 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
50.0
Rank #44/60 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner95.8
Rank #3/60 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
winner1218.0
Rank #27/46 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
1206.0
Rank #30/46 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
49.0
Rank #35/60 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner75.4
Rank #8/60 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
61.7
Rank #37/56 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner91.4
Rank #11/56 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
29.6
Rank #35/36 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner57.5
Rank #10/36 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
49.7
Rank #38/69 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner76.9
Rank #12/69 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
39.8
Rank #36/57 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner60.5
Rank #17/57 · confidence 1 · eval date 2026-02-05
DeepSeek V3.2
78.9
Rank #34/58 · confidence 1 · eval date 2025-12-01
GPT-5.3 Codex
winner86.0
Rank #21/58 · confidence 1 · eval date 2026-02-05
Latest completed audits from shared providers, with four safety and integrity score groups plus report links.
| Provider | DeepSeek V3.2 | GPT-5.3 Codex |
|---|---|---|
| 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-5.3 Codex |
|---|---|---|
6345ywz API45 tests | DeepSeek V3.2 speed / latency 235 tok/s / 1787ms input / output No data | GPT-5.3 Codex speed / latency N/A / N/A input / output No data |
星见雅 API40 tests | DeepSeek V3.2 speed / latency 21 tok/s / 15336ms input / output No data | GPT-5.3 Codex speed / latency 38 tok/s / 4553ms input / output No data |
RinkoAI30 tests | DeepSeek V3.2 speed / latency 25 tok/s / 2484ms input / output No data | GPT-5.3 Codex speed / latency N/A / N/A input / output No data |
UoCode25 tests | DeepSeek V3.2 speed / latency N/A / N/A input / output No data | GPT-5.3 Codex speed / latency 56 tok/s / 4621ms input / output No data |
N1N15 tests | DeepSeek V3.2 speed / latency 37 tok/s / 1522ms input / output No data | GPT-5.3 Codex speed / latency N/A / N/A input / output No data |
DeepSeek V3.2 deepseek-v3.2(次模型) speed / latency No data input / output $0.100/M / $0.100/M | GPT-5.3 Codex gpt-5.3-codex speed / latency No data input / output $0.010/M / $0.010/M | |
DeepSeek V3.2 deepseek-v3.2-exp speed / latency No data input / output $0.010/M / $0.010/M | GPT-5.3 Codex gpt-5.3-codex speed / latency No data input / output $0.050/M / $0.050/M | |
DeepSeek V3.2 deepseek-v3.2 speed / latency No data input / output $0.018/M / $0.028/M | GPT-5.3 Codex gpt-5.3-codex speed / latency No data input / output $0.120/M / $0.959/M |
This report only uses LMSpeed data for DeepSeek V3.2 and GPT-5.3 Codex: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Guidance | DeepSeek V3.2 | GPT-5.3 Codex |
|---|---|---|
| When to choose each model | DeepSeek V3.2 DeepSeek V3.2 is stronger when you prioritize Free providers, Recent tests. | GPT-5.3 Codex GPT-5.3 Codex is stronger when you prioritize Cheapest input price, Average speed, First-token latency, Provider coverage. |
TL;DR: GPT-5.3 Codex leads across 127 verifiable data points, including pricing, speed, latency, benchmarks, and provider examples.
Continue from DeepSeek V3.2 vs GPT-5.3 Codex into nearby model comparisons with enough verified LMSpeed data.
Rankings are based on community-submitted tests and periodic health probes. Advisory only, not official data.