Data points: 120
Model compare
GPT-5.1 vs GPT-5.2
The readout for GPT-5.1 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 42.3 to 57.7.
Evidence depth
120 data points
Includes 28 benchmark rows, 0 audit samples, and 10 provider examples.
Selection signal
Start with GPT-5.2
The charts below split 38 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-5.1 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Model compare | GPT-5.1 | GPT-5.2 |
|---|---|---|
| Overall leader | Contender | Leading |
| Weighted overall score | 42.3 pts | 57.7 pts |
| Benchmark category leads | 3 categories | 4 categories |
| Operational advantages | Average speed, First-token latency | Cheapest input price, Free providers, Provider coverage |
| Context window | 400K tokens | 400K tokens |
| Max output | 128K tokens | 128K tokens |
| Modalities | Input ImageTextFile Output Text | Input FileImageText 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-5.1 | GPT-5.2 |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Released | Nov 2025 | Dec 2025 |
| Parameters | No data | No data |
| Tokenizer | GPT | GPT |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | openai/gpt-5.1 | openai/gpt-5.2 |
| References | No data | No data |
When to choose each model
This report only uses LMSpeed data for GPT-5.1 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
GPT-5.1
GPT-5.1 is stronger in benchmark categories (Agents, Reasoning, Multimodal) and operational dimensions (Average speed, First-token latency).
GPT-5.2
GPT-5.2 is stronger in benchmark categories (Coding, Knowledge, Math, Instruction following) and operational dimensions (Cheapest input price, Free providers, 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
- 7 / 8
- Shared
- 7 shared categories
Avg. score
GPT-5.1
51.1
Avg. score
GPT-5.2
51.8
Agents
GPT-5.1 leads by 0.3
Coding
GPT-5.2 leads by 6.7
Reasoning
GPT-5.1 leads by 0.7
Knowledge
GPT-5.2 leads by 3.0
Math
GPT-5.2 leads by 1.9
Multilingual
No data
Multimodal
GPT-5.1 leads by 6.6
Instruction following
GPT-5.2 leads by 1.0
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-5.1
winner66.0
Rank #32/111 · confidence 2 · eval date 2025-11-13
GPT-5.2
51.0
Rank #78/111 · confidence 4 · eval date 2025-12-11
GPT-5.1
winner$1.25/M
Rank #123/186 · confidence 4
GPT-5.2
$1.75/M
Rank #140/186 · confidence 4
GPT-5.1
winner$3.44/M
Rank #139/186 · confidence 4
GPT-5.2
$4.81/M
Rank #155/186 · confidence 4
GPT-5.1
winner$10.00/M
Rank #142/186 · confidence 4
GPT-5.2
$14.00/M
Rank #156/186 · confidence 4
GPT-5.1
80.0
Rank #24/106 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner82.7
Rank #11/106 · confidence 4 · eval date 2025-12-11
GPT-5.1
80.1%
Rank #62/129 · confidence 4
GPT-5.2
winner87.4%
Rank #11/129 · confidence 4
GPT-5.1
winner76.0
Rank #17/67 · confidence 2 · eval date 2025-11-13
GPT-5.2
53.7
Rank #55/67 · confidence 4 · eval date 2025-12-11
GPT-5.1
4.9
Rank #48/88 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner11.6
Rank #31/88 · confidence 4 · eval date 2025-12-11
GPT-5.1
winner87.3%
Rank #52/218 · confidence 4
GPT-5.2
71.2%
Rank #138/218 · confidence 4
GPT-5.1
winner28.5%
Rank #61/216 · confidence 4
GPT-5.2
8.0%
Rank #134/216 · confidence 4
GPT-5.1
winner86.8%
Rank #4/115 · confidence 4
GPT-5.2
66.9%
Rank #36/115 · confidence 4
GPT-5.1
24.6
Rank #18/33 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner53.5
Rank #6/33 · confidence 4 · eval date 2025-12-11
GPT-5.1
43.3
Rank #60/113 · confidence 3 · eval date 2025-11-13
GPT-5.2
winner52.1
Rank #28/113 · confidence 4 · eval date 2025-12-11
GPT-5.1
31.0
Rank #19/47 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner40.7
Rank #10/47 · confidence 4 · eval date 2025-12-11
GPT-5.1
12.5
Rank #17/36 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner18.8
Rank #12/36 · confidence 4 · eval date 2025-12-11
GPT-5.1
49.2
Rank #37/63 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner57.5
Rank #31/63 · confidence 4 · eval date 2025-12-11
GPT-5.1
63.6
Rank #55/83 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner77.2
Rank #23/83 · confidence 4 · eval date 2025-12-11
GPT-5.1
37.7
Rank #43/106 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner44.3
Rank #27/106 · confidence 4 · eval date 2025-12-11
GPT-5.1
87.3
Rank #48/113 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner90.3
Rank #32/113 · confidence 4 · eval date 2025-12-11
GPT-5.1
28.5
Rank #52/114 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner37.7
Rank #33/114 · confidence 4 · eval date 2025-12-11
GPT-5.1
51.9
Rank #74/106 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner81.2
Rank #40/106 · confidence 4 · eval date 2025-12-11
GPT-5.1
24.7
Rank #67/117 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner30.4
Rank #47/117 · confidence 4 · eval date 2025-12-11
GPT-5.1
winner71.2
Rank #25/56 · confidence 2 · eval date 2025-11-13
GPT-5.2
66.3
Rank #31/56 · confidence 4 · eval date 2025-12-11
GPT-5.1
1201.0
Rank #50/78 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner1209.0
Rank #47/78 · confidence 4 · eval date 2025-12-11
GPT-5.1
89.3
Rank #20/52 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner92.6
Rank #10/52 · confidence 4 · eval date 2025-12-11
GPT-5.1
72.9
Rank #26/84 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner75.4
Rank #18/84 · confidence 4 · eval date 2025-12-11
GPT-5.1
41.2
Rank #34/49 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner46.5
Rank #28/49 · confidence 4 · eval date 2025-12-11
GPT-5.1
81.9
Rank #53/82 · confidence 2 · eval date 2025-11-13
GPT-5.2
winner84.8
Rank #46/82 · 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 | GPT-5.1 | 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 | GPT-5.1 | GPT-5.2 |
|---|---|---|
N1N20 tests | GPT-5.1 speed / latency 96 tok/s / 1862ms input / output No data | GPT-5.2 speed / latency 56 tok/s / 1798ms input / output No data |
BUZZ15 tests | GPT-5.1 speed / latency 137 tok/s / 3299ms input / output No data | GPT-5.2 speed / latency 64 tok/s / 3553ms input / output No data |
星见雅 API15 tests | GPT-5.1 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 52 tok/s / 2671ms input / output No data |
Feng Love API5 tests | GPT-5.1 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 65 tok/s / 4770ms input / output No data |
ModelPool5 tests | GPT-5.1 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 64 tok/s / 5256ms input / output No data |
GPT-5.1 gpt-5.1-all speed / latency No data input / output $0/request | GPT-5.2 gpt-5.2 speed / latency No data input / output $0/request | |
GPT-5.1 gpt-5-1 speed / latency No data input / output $0/request | GPT-5.2 gpt-5-2 speed / latency No data input / output $0/request | |
GPT-5.1 gpt-5.1 speed / latency No data input / output $0.0014/request | GPT-5.2 gpt-5.2 speed / latency No data input / output $0.0014/request | |
GPT-5.1 gpt-5.1 speed / latency No data input / output $0.0068/request | GPT-5.2 gpt-5.2 speed / latency No data input / output $0.0068/request | |
GPT-5.1 gpt-5.1-all speed / latency No data input / output $0.137/M/$1.10/M | GPT-5.2 gpt-5.2-all speed / latency No data input / output $0.0068/request |
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.