Data points: 122
Model compare
GPT-5.2 vs GPT-5.3 Codex
The readout for GPT-5.2 and GPT-5.3 Codex, before the detailed comparison sheet.
Key Takeaways
Weighted outcome: GPT-5.3 Codex. Benchmark capability categories carry 80%, while price, API performance, and availability carry 20%.
Decision read
GPT-5.3 Codex
GPT-5.3 Codex has the higher weighted result; Model A / B score 18.7 to 81.3.
Evidence depth
122 data points
Includes 29 benchmark rows, 0 audit samples, and 10 provider examples.
Selection signal
Start with GPT-5.3 Codex
The charts below split 39 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 GPT-5.2 and GPT-5.3 Codex: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Model compare | GPT-5.2 | GPT-5.3 Codex |
|---|---|---|
| Overall leader | Contender | Leading |
| Weighted overall score | 18.7 pts | 81.3 pts |
| Benchmark category leads | 0 categories | 5 categories |
| Operational advantages | Cheapest input price, First-token latency, Free providers | Average speed, Provider coverage |
| Context window | 400K tokens | 400K tokens |
| Max output | 128K tokens | 128K tokens |
| Modalities | Input FileImageText Output Text | Input TextImageFile Output Text |
| Features | Text inputImage inputFile 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 | GPT-5.2 | GPT-5.3 Codex |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Released | Dec 2025 | Feb 2026 |
| Parameters | No data | No data |
| Tokenizer | GPT | GPT |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | openai/gpt-5.2 | openai/gpt-5.3-codex |
| References | No data | No data |
When to choose each model
This report only uses LMSpeed data for GPT-5.2 and GPT-5.3 Codex: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
GPT-5.2
GPT-5.2 has these operational advantages: Cheapest input price, First-token latency, Free providers.
GPT-5.3 Codex
GPT-5.3 Codex is stronger in benchmark categories (Agents, Coding, Reasoning, Knowledge, Multimodal) and operational dimensions (Average speed, 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
- 7 / 8
- Model B coverage
- 6 / 8
- Shared
- 6 shared categories
Avg. score
GPT-5.2
51.8
Avg. score
GPT-5.3 Codex
55.3
Agents
GPT-5.3 Codex leads by 5.1
Coding
GPT-5.3 Codex leads by 0.8
Reasoning
GPT-5.3 Codex leads by 6.7
Knowledge
GPT-5.3 Codex leads by 2.7
Math
GPT-5.2
Multilingual
No data
Multimodal
GPT-5.3 Codex leads by 8.6
Instruction following
Tied
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.
GPT-5.2
51.0
Rank #78/111 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner68.0
Rank #26/111 · confidence 3 · eval date 2026-02-05
GPT-5.2
$1.75/M
Rank #140/186 · confidence 4
GPT-5.3 Codex
$1.75/M
Rank #140/186 · confidence 4
GPT-5.2
$4.81/M
Rank #155/186 · confidence 4
GPT-5.3 Codex
$4.81/M
Rank #155/186 · confidence 4
GPT-5.2
$14.00/M
Rank #156/186 · confidence 4
GPT-5.3 Codex
$14.00/M
Rank #156/186 · confidence 4
GPT-5.2
53.7
Rank #55/67 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner78.3
Rank #5/67 · confidence 3 · eval date 2026-02-05
GPT-5.2
82.7
Rank #11/106 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner83.3
Rank #6/106 · confidence 3 · eval date 2026-02-05
GPT-5.2
71.2%
Rank #138/218 · confidence 4
GPT-5.3 Codex
winner91.5%
Rank #21/218 · confidence 4
GPT-5.2
11.6
Rank #31/88 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner16.9
Rank #22/88 · confidence 3 · eval date 2026-02-05
GPT-5.2
8.0%
Rank #134/216 · confidence 4
GPT-5.3 Codex
winner42.5%
Rank #22/216 · confidence 4
GPT-5.2
53.5
Rank #6/33 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner61.8
Rank #4/33 · confidence 3 · eval date 2026-02-05
GPT-5.2
80.0
Rank #14/49 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner85.0
Rank #6/49 · confidence 3 · eval date 2026-02-05
GPT-5.2
52.1
Rank #28/113 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner53.2
Rank #26/113 · confidence 3 · eval date 2026-02-05
GPT-5.2
55.6
Rank #33/50 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner56.8
Rank #26/50 · confidence 3 · eval date 2026-02-05
GPT-5.2
46.5
Rank #64/87 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner52.0
Rank #50/87 · confidence 3 · eval date 2026-02-05
GPT-5.2
44.3
Rank #27/106 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner52.9
Rank #11/106 · confidence 3 · eval date 2026-02-05
GPT-5.2
77.2
Rank #23/83 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner79.5
Rank #19/83 · confidence 3 · eval date 2026-02-05
GPT-5.2
37.7
Rank #33/114 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner42.5
Rank #21/114 · confidence 3 · eval date 2026-02-05
GPT-5.2
81.2
Rank #40/106 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner89.2
Rank #21/106 · confidence 3 · eval date 2026-02-05
GPT-5.2
90.3
Rank #32/113 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner91.5
Rank #23/113 · confidence 3 · eval date 2026-02-05
GPT-5.2
30.4
Rank #47/117 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner32.5
Rank #43/117 · confidence 3 · eval date 2026-02-05
GPT-5.2
66.3
Rank #31/56 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner75.6
Rank #20/56 · confidence 3 · eval date 2026-02-05
GPT-5.2
winner1209.0
Rank #47/78 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
1177.0
Rank #59/78 · confidence 3 · eval date 2026-02-05
GPT-5.2
92.6
Rank #10/52 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
92.6
Rank #10/52 · confidence 3 · eval date 2026-02-05
GPT-5.2
75.4
Rank #18/84 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
75.4
Rank #18/84 · confidence 3 · eval date 2026-02-05
GPT-5.2
winner34.3
Rank #10/24 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
33.7
Rank #11/24 · confidence 3 · eval date 2026-02-05
GPT-5.2
46.5
Rank #28/49 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner57.5
Rank #13/49 · confidence 3 · eval date 2026-02-05
GPT-5.2
47.3
Rank #26/27 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner64.7
Rank #21/27 · confidence 3 · eval date 2026-02-05
GPT-5.2
23.1
Rank #71/76 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner62.8
Rank #37/76 · confidence 3 · eval date 2026-02-05
GPT-5.2
84.8
Rank #46/82 · confidence 4 · eval date 2025-12-11
GPT-5.3 Codex
winner86.0
Rank #42/82 · confidence 3 · eval date 2026-02-05
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 | GPT-5.2 | GPT-5.3 Codex |
|---|---|---|
| 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 | GPT-5.2 | GPT-5.3 Codex |
|---|---|---|
星见雅 API50 tests | GPT-5.2 speed / latency 52 tok/s / 2671ms input / output No data | GPT-5.3 Codex speed / latency 38 tok/s / 4553ms input / output No data |
N1N15 tests | GPT-5.2 speed / latency 56 tok/s / 1798ms input / output No data | GPT-5.3 Codex speed / latency N/A / N/A input / output No data |
小水管 API15 tests | GPT-5.2 speed / latency 71 tok/s / 2893ms input / output No data | GPT-5.3 Codex speed / latency 201 tok/s / 2135ms input / output No data |
Mars HK14 tests | GPT-5.2 speed / latency N/A / N/A input / output No data | GPT-5.3 Codex speed / latency 252 tok/s / 2196ms input / output No data |
A310 tests | GPT-5.2 speed / latency 45 tok/s / 1716ms input / output No data | GPT-5.3 Codex speed / latency 46 tok/s / 2039ms input / output No data |
GPT-5.2 gpt-5.2-chat-latest speed / latency No data input / output $0/M/$0/M | GPT-5.3 Codex gpt-5.3-codex-spark speed / latency No data input / output $0.263/M/$2.10/M | |
GPT-5.2 gpt-5.2-2025-12-11 speed / latency No data input / output $0/request | GPT-5.3 Codex gpt-5.3-codex-xhigh speed / latency No data input / output $0/request | |
GPT-5.2 gpt-5.2 speed / latency No data input / output $0.0014/request | GPT-5.3 Codex gpt-5.3-codex-spark speed / latency No data input / output $0.060/M/$0.479/M | |
GPT-5.2 gpt-5.2 speed / latency No data input / output $0.0068/request | GPT-5.3 Codex gpt-5.3-codex speed / latency No data input / output $0.0068/request | |
GPT-5.2 gpt-5.2-all speed / latency No data input / output $0.0068/request | GPT-5.3 Codex gpt-5.3-codex-medium speed / latency No data input / output $0.240/M/$1.92/M |
FAQ
Weighted outcome: GPT-5.3 Codex. 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.
