Data points: 53
The readout for GPT-5.2 and Text Embedding 3 Large, before the detailed comparison sheet.
Decision read
GPT-5.2
GPT-5.2 currently has the stronger profile, with verified wins split 3 to 1.
Evidence depth
53 data points
Includes 0 benchmark rows, 0 audit samples, and 7 provider examples.
Selection signal
Start with GPT-5.2
The charts below split 7 high-signal samples across speed, scores, and audit health.
Model compare GPT-5.2 vs Text Embedding 3 Largegpt-5-2-vs-text-embedding-3-large | Model A GPT-5.2 | Model B Text Embedding 3 Large |
|---|---|---|
| Overall leader | Leading | Contender |
| Verified metric wins | 3 wins | 1 wins |
| Where it leads | Free providers, Provider coverage, Recent tests | Cheapest input price |
Third-party benchmark profile synced into LMSpeed; only metrics available for both models are shown.
| Metric | GPT-5.2 | Text Embedding 3 Large |
|---|---|---|
| No shared benchmark metrics are available yet. | ||
Latest completed audits from shared providers, with four safety and integrity score groups plus report links.
| Provider | GPT-5.2 | Text Embedding 3 Large |
|---|---|---|
| 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 | GPT-5.2 | Text Embedding 3 Large |
|---|---|---|
15 tests | GPT-5.2 speed / latency 56 tok/s / 1798ms input / output No data | Text Embedding 3 Large |
This report only uses LMSpeed data for GPT-5.2 and Text Embedding 3 Large: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Guidance | GPT-5.2 | Text Embedding 3 Large |
|---|---|---|
| When to choose each model | GPT-5.2 GPT-5.2 is stronger when you prioritize Free providers, Provider coverage, Recent tests. | Text Embedding 3 Large Text Embedding 3 Large is stronger when you prioritize Cheapest input price. |
TL;DR: GPT-5.2 leads across 53 verifiable data points, including pricing, speed, latency, benchmarks, and provider examples.
Continue from GPT-5.2 vs Text Embedding 3 Large into nearby model comparisons with enough verified LMSpeed data.
| Model metadata | GPT-5.2 exposes 128K tokens; notable signals: Text input, Image input, File input, Text output. | No OpenRouter metadata is available yet for this model. |
|---|---|---|
| Developer | OpenAI | No data |
| Context window | 128K tokens | No data |
| Max output | 16.4K tokens | No data |
| Released | Dec 2025 | No data |
| Modalities | Input FileImageText Output Text | No data |
| Features | Text inputImage inputFile inputText outputTool callingStructured outputsJSON mode | None listed |
| Parameters | No data | No data |
| Tokenizer | GPT | No data |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | openai/gpt-5.2-chat | No data |
| References | No data | No data |
speed / latency
N/A / N/A
input / output
No data
WSocket AI5 tests | GPT-5.2 speed / latency 54 tok/s / 1449ms input / output No data | Text Embedding 3 Large speed / latency N/A / N/A input / output No data |
|---|
Yun API5 tests | GPT-5.2 gpt-5.2 speed / latency 32 tok/s / 1965ms input / output $0.0027/M / $0.0027/M | Text Embedding 3 Large text-embedding-3-large speed / latency N/A / N/A input / output $0.0055/M / $0.0055/M |
|---|
42公益站0 tests | GPT-5.2 speed / latency N/A / N/A input / output No data | Text Embedding 3 Large speed / latency N/A / N/A input / output No data |
|---|
AAAI0 tests | GPT-5.2 speed / latency N/A / N/A input / output No data | Text Embedding 3 Large speed / latency N/A / N/A input / output No data |
|---|
GPT-5.2 gpt-5.2-chat speed / latency No data input / output $0.037/M / $0.300/M | Text Embedding 3 Large text-embedding-3-large speed / latency No data input / output $0.0001/M / $0.0001/M |
GPT-5.2 gpt-5.2-chat speed / latency No data input / output $0.072/M / $0.575/M | Text Embedding 3 Large text-embedding-3-large speed / latency No data input / output $0.0053/M / $0.0053/M |
Rankings are based on community-submitted tests and periodic health probes. Advisory only, not official data.
