Data points: 81
The readout for GPT-5.2 and Qwen3 VL 32B Instruct, before the detailed comparison sheet.
Decision read
GPT-5.2
GPT-5.2 currently has the stronger profile, with verified wins split 4 to 0.
Evidence depth
81 data points
Includes 11 benchmark rows, 0 audit samples, and 4 provider examples.
Selection signal
Start with GPT-5.2
The charts below split 15 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 GPT-5.2 vs Qwen3 VL 32B Instructgpt-5-2-vs-qwen3-vl-32b-instruct | Model A GPT-5.2 | Model B Qwen3 VL 32B Instruct |
|---|---|---|
| Overall leader | Leading | Contender |
| Verified metric wins | 4 wins | 0 wins |
| Where it leads | Cheapest input price, Free providers, Provider coverage, Recent tests |
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
GPT-5.2
64.1
Avg. score
Qwen3 VL 32B Instruct
45.8
Selected category
Coding
GPT-5.2 leads by 15.7
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
GPT-5.2
winner0.71 s
Rank #20/113 · confidence 4
Qwen3 VL 32B Instruct
1.19 s
Rank #35/113 · confidence 4
GPT-5.2
winner0.71 s
Rank #25/113 · confidence 4
Qwen3 VL 32B Instruct
1.19 s
Rank #52/113 · confidence 4
GPT-5.2
68.0 tok/s
Rank #69/113 · confidence 4
Qwen3 VL 32B Instruct
winner72.5 tok/s
Rank #63/113 · confidence 4
GPT-5.2
$14.00/M
Rank #113/138 · confidence 4
Qwen3 VL 32B Instruct
winner$2.80/M
Rank #70/138 · confidence 4
GPT-5.2
$4.81/M
Rank #113/138 · confidence 4
Qwen3 VL 32B Instruct
winner$1.23/M
Rank #75/138 · confidence 4
GPT-5.2
$1.75/M
Rank #104/138 · confidence 4
Qwen3 VL 32B Instruct
winner$0.700/M
Rank #77/138 · confidence 4
GPT-5.2
winner81.4%
Rank #51/113 · confidence 4
Qwen3 VL 32B Instruct
79.1%
Rank #65/113 · confidence 4
GPT-5.2
winner7.3%
Rank #81/150 · confidence 4
Qwen3 VL 32B Instruct
6.3%
Rank #93/150 · confidence 4
GPT-5.2
winner71.2%
Rank #85/152 · confidence 4
Qwen3 VL 32B Instruct
67.1%
Rank #97/152 · confidence 4
GPT-5.2
winner66.9%
Rank #38/108 · confidence 4
Qwen3 VL 32B Instruct
51.4%
Rank #59/108 · confidence 4
GPT-5.2
winner40.4%
Rank #48/149 · confidence 4
Qwen3 VL 32B Instruct
30.1%
Rank #111/149 · confidence 4
Latest completed audits from shared providers, with four safety and integrity score groups plus report links.
| Provider | GPT-5.2 | Qwen3 VL 32B Instruct |
|---|---|---|
| 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 | Qwen3 VL 32B Instruct |
|---|---|---|
5 tests | GPT-5.2 gpt-5.2 speed / latency 32 tok/s / 1965ms input / output $0.0027/M / $0.0027/M |
This report only uses LMSpeed data for GPT-5.2 and Qwen3 VL 32B Instruct: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Guidance | GPT-5.2 | Qwen3 VL 32B Instruct |
|---|---|---|
| When to choose each model | GPT-5.2 GPT-5.2 is stronger when you prioritize Cheapest input price, Free providers, Provider coverage, Recent tests. | Qwen3 VL 32B Instruct Qwen3 VL 32B Instruct does not clearly lead on the verified metrics here, so check provider-specific pricing before choosing. |
TL;DR: GPT-5.2 leads across 81 verifiable data points, including pricing, speed, latency, benchmarks, and provider examples.
Continue from GPT-5.2 vs Qwen3 VL 32B Instruct into nearby model comparisons with enough verified LMSpeed data.
| No data |
| Model metadata | GPT-5.2 exposes 400K tokens; notable signals: Text input, Image input, File input, Text output. | Qwen3 VL 32B Instruct exposes 262.1K tokens; notable signals: Text input, Image input, Text output, Tool calling. |
|---|---|---|
| Developer | OpenAI | Qwen |
| Context window | 400K tokens | 262.1K tokens |
| Max output | 128K tokens | 32.8K tokens |
| Released | Dec 2025 | No data |
| Modalities | Input FileImageText Output Text | Input TextImage Output Text |
| Features | Text inputImage inputFile inputText outputTool callingStructured outputsJSON modeReasoning | Text inputImage inputText outputTool callingStructured outputsJSON mode |
| Parameters | No data | 32B |
| Tokenizer | GPT | Qwen |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | openai/gpt-5.2 | qwen/qwen3-vl-32b-instruct |
| References | No data | No data |
Qwen3 VL 32B Instruct
qwen3-vl-32b-instruct
speed / latency
N/A / N/A
input / output
$0.274/M / $1.10/M
AI API0 tests | GPT-5.2 openai/gpt-5.2-chat speed / latency N/A / N/A input / output $3.50/M / $28.00/M | Qwen3 VL 32B Instruct qwen/qwen3-vl-32b-instruct speed / latency N/A / N/A input / output $0.208/M / $0.832/M |
|---|
KFCV500 tests | GPT-5.2 gpt-5.2 speed / latency N/A / N/A input / output $0.014/M / $0.014/M | Qwen3 VL 32B Instruct qwen3-vl-32b-instruct speed / latency N/A / N/A input / output $10.27/M / $10.27/M |
|---|
神马中转API0 tests | GPT-5.2 gpt-5.2-all speed / latency N/A / N/A input / output $0.014/M / $0.014/M | Qwen3 VL 32B Instruct qwen3-vl-32b-instruct speed / latency N/A / N/A input / output $0.548/M / $2.19/M |
|---|
Rankings are based on community-submitted tests and periodic health probes. Advisory only, not official data.
