Data points: 141
The readout for GPT-5.3 Codex and Qwen3.5, before the detailed comparison sheet.
Decision read
GPT-5.3 Codex
GPT-5.3 Codex currently has the stronger profile, with verified wins split 4 to 2.
Evidence depth
141 data points
Includes 38 benchmark rows, 0 audit samples, and 8 provider examples.
Selection signal
Start with GPT-5.3 Codex
The charts below split 46 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-5.3 Codex vs Qwen3.5gpt-5-3-codex-vs-qwen3-5 | Model A GPT-5.3 Codex | Model B Qwen3.5 |
|---|---|---|
| Overall leader | Leading | Contender |
| Verified metric wins | 4 wins | 2 wins |
| Where it leads | Cheapest input price, Average speed, First-token latency, Provider coverage |
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-5.3 Codex
67.1
Avg. score
Qwen3.5
67.7
Selected category
Agents
GPT-5.3 Codex leads by 12.2
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
GPT-5.3 Codex
winner83.0
Rank #7/82 · confidence 1 · eval date 2026-02-05
Qwen3.5
62.0
Rank #33/82 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner96.0 tok/s
Rank #36/78 · confidence 4
Qwen3.5
51.9 tok/s
Rank #60/78 · confidence 4
GPT-5.3 Codex
42.59 s
Rank #73/78 · confidence 4
Qwen3.5
winner1.75 s
Rank #50/78 · confidence 4
GPT-5.3 Codex
winner42.59 s
Rank #64/78 · confidence 4
Qwen3.5
63.12 s
Rank #72/78 · confidence 4
GPT-5.3 Codex
$1.75/M
Rank #69/95 · confidence 4
Qwen3.5
winner$0.600/M
Rank #45/95 · confidence 4
GPT-5.3 Codex
$4.81/M
Rank #75/95 · confidence 4
Qwen3.5
winner$1.35/M
Rank #51/95 · confidence 4
GPT-5.3 Codex
$14.00/M
Rank #75/95 · confidence 4
Qwen3.5
winner$3.60/M
Rank #53/95 · confidence 4
GPT-5.3 Codex
winner74.0
Rank #4/57 · confidence 1 · eval date 2026-02-05
Qwen3.5
58.0
Rank #37/57 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner87.8
Rank #4/58 · confidence 1 · eval date 2026-02-05
Qwen3.5
57.4
Rank #30/58 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner16.9
Rank #6/44 · confidence 1 · eval date 2026-02-05
Qwen3.5
0.9
Rank #36/44 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner91.5%
Rank #6/103 · confidence 4
Qwen3.5
89.3%
Rank #14/103 · confidence 4
GPT-5.3 Codex
winner39.9%
Rank #8/103 · confidence 4
Qwen3.5
27.3%
Rank #22/103 · confidence 4
GPT-5.3 Codex
winner86.7
Rank #4/70 · confidence 1 · eval date 2026-02-05
Qwen3.5
66.6
Rank #35/70 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner85.0
Rank #4/28 · confidence 1 · eval date 2026-02-05
Qwen3.5
76.2
Rank #17/28 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner53.1
Rank #5/61 · confidence 1 · eval date 2026-02-05
Qwen3.5
37.4
Rank #28/61 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner53.0
Rank #5/59 · confidence 1 · eval date 2026-02-05
Qwen3.5
35.6
Rank #26/59 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
58.2
Rank #9/10 · confidence 1 · eval date 2026-02-05
Qwen3.5
winner58.9
Rank #6/10 · confidence 3 · eval date 2026-03-04
GPT-5.3 Codex
winner53.2
Rank #7/63 · confidence 1 · eval date 2026-02-05
Qwen3.5
41.1
Rank #32/63 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner53.2%
Rank #8/101 · confidence 4
Qwen3.5
42.0%
Rank #37/101 · confidence 4
GPT-5.3 Codex
winner56.8
Rank #9/20 · confidence 1 · eval date 2026-02-05
Qwen3.5
50.9
Rank #19/20 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner90.2
Rank #2/51 · confidence 1 · eval date 2026-02-05
Qwen3.5
68.2
Rank #23/51 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner51.8
Rank #3/58 · confidence 1 · eval date 2026-02-05
Qwen3.5
24.3
Rank #40/58 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner91.2
Rank #3/67 · confidence 1 · eval date 2026-02-05
Qwen3.5
71.1
Rank #24/67 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner91.5
Rank #4/63 · confidence 1 · eval date 2026-02-05
Qwen3.5
86.1
Rank #21/63 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner39.9
Rank #5/63 · confidence 1 · eval date 2026-02-05
Qwen3.5
18.8
Rank #31/63 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner44.3
Rank #6/66 · confidence 1 · eval date 2026-02-05
Qwen3.5
32.0
Rank #34/66 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner86.9
Rank #16/58 · confidence 1 · eval date 2026-02-05
Qwen3.5
79.8
Rank #25/58 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner96.9
Rank #4/51 · confidence 1 · eval date 2026-02-05
Qwen3.5
71.8
Rank #16/51 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner92.0
Rank #2/60 · confidence 1 · eval date 2026-02-05
Qwen3.5
65.1
Rank #25/60 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner78.5
Rank #5/34 · confidence 1 · eval date 2026-02-05
Qwen3.5
52.7
Rank #32/34 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner91.4
Rank #5/58 · confidence 1 · eval date 2026-02-05
Qwen3.5
84.8
Rank #12/58 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner75.4
Rank #8/60 · confidence 1 · eval date 2026-02-05
Qwen3.5
51.6
Rank #34/60 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner77.3
Rank #3/24 · confidence 1 · eval date 2026-02-05
Qwen3.5
52.5
Rank #19/24 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner74.8
Rank #9/69 · confidence 1 · eval date 2026-02-05
Qwen3.5
54.0
Rank #33/69 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner64.7
Rank #9/13 · confidence 1 · eval date 2026-02-05
Qwen3.5
58.0
Rank #11/13 · confidence 3 · eval date 2026-03-04
GPT-5.3 Codex
winner57.5
Rank #10/36 · confidence 1 · eval date 2026-02-05
Qwen3.5
46.8
Rank #21/36 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner60.5
Rank #17/57 · confidence 1 · eval date 2026-02-05
Qwen3.5
53.3
Rank #26/57 · confidence 4 · eval date 2026-02-16
GPT-5.3 Codex
winner86.0
Rank #21/58 · confidence 1 · eval date 2026-02-05
Qwen3.5
83.9
Rank #26/58 · confidence 4 · eval date 2026-02-16
Latest completed audits from shared providers, with four safety and integrity score groups plus report links.
| Provider | GPT-5.3 Codex | Qwen3.5 |
|---|---|---|
| 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-5.3 Codex | Qwen3.5 |
|---|---|---|
50 tests | GPT-5.3 Codex speed / latency 38 tok/s / 4553ms input / output No data |
This report only uses LMSpeed data for GPT-5.3 Codex and Qwen3.5: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Guidance | GPT-5.3 Codex | Qwen3.5 |
|---|---|---|
| When to choose each model | GPT-5.3 Codex GPT-5.3 Codex is stronger when you prioritize Cheapest input price, Average speed, First-token latency, Provider coverage. | Qwen3.5 Qwen3.5 is stronger when you prioritize Free providers, Recent tests. |
TL;DR: GPT-5.3 Codex leads across 141 verifiable data points, including pricing, speed, latency, benchmarks, and provider examples.
Continue from GPT-5.3 Codex vs Qwen3.5 into nearby model comparisons with enough verified LMSpeed data.
| Free providers, Recent tests |
| Model metadata | GPT-5.3 Codex exposes 400K tokens; notable signals: Text input, Image input, File input, Text output. | Qwen3.5 exposes 262.1K tokens; notable signals: Text input, Image input, Text output, Tool calling. |
|---|---|---|
| Developer | OpenAI | No data |
| Context window | 400K tokens | 262.1K tokens |
| Max output | 128K tokens | 262.1K tokens |
| Released | Feb 2026 | Mar 2026 |
| Modalities | Input TextImageFile Output Text | Input TextImagevideo Output Text |
| Features | Text inputImage inputFile inputText outputTool callingStructured outputsJSON modeReasoning | Text inputImage inputText outputTool callingStructured outputsJSON modeReasoning |
| Parameters | No data | 9B |
| Tokenizer | GPT | Qwen3 |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | openai/gpt-5.3-codex | qwen/qwen3.5-9b |
| References | No data | No data |
Qwen3.5
speed / latency
31 tok/s / 3233ms
input / output
No data
小水管 API10 tests | GPT-5.3 Codex speed / latency 201 tok/s / 2135ms input / output No data | Qwen3.5 speed / latency N/A / N/A input / output No data |
|---|
6i25 tests | GPT-5.3 Codex speed / latency 269 tok/s / 2392ms input / output No data | Qwen3.5 speed / latency N/A / N/A input / output No data |
|---|
6i2 API5 tests | GPT-5.3 Codex speed / latency 89 tok/s / 12856ms input / output No data | Qwen3.5 speed / latency N/A / N/A input / output No data |
|---|
91VIP5 tests | GPT-5.3 Codex speed / latency 35 tok/s / 17640ms input / output No data | Qwen3.5 speed / latency N/A / N/A input / output No data |
|---|
GPT-5.3 Codex gpt-5.3-codex-openai-compact speed / latency No data input / output $75.00/M / $600.00/M | Qwen3.5 qwen3.5-397b-a17b speed / latency No data input / output $0/M / $0/M |
GPT-5.3 Codex gpt-5.3-codex-openai-compact speed / latency No data input / output $75.00/M / $600.00/M | Qwen3.5 qwen3.5-4b speed / latency No data input / output $0/M / $0/M |
GPT-5.3 Codex gpt-5.3-codex speed / latency No data input / output $0.050/M / $0.050/M | Qwen3.5 Qwen3.5-397B speed / latency No data input / output $0.010/M / $0.010/M |
Rankings are based on community-submitted tests and periodic health probes. Advisory only, not official data.
