Model comparison
ERNIE 5.0 0110 vs GPT-5.3 Codex
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 41.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
BaiduSummary
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 43.0.
Side by side
| ERNIE 5.0 0110 | GPT-5.3 Codex | |
|---|---|---|
| Provider | Baidu | OpenAI |
| Noometry Index | 41.8 | 45.8 |
| Released | — | 2026-02-05 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 20 | 8 |
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Category by category
Coding GPT-5.3 Codex leads
ERNIE 5.0 0110: 43.0 (#94), GPT-5.3 Codex: 48.6 (#56)
| Benchmark | ERNIE 5.0 0110 | GPT-5.3 Codex |
|---|---|---|
| SWE-bench Verified | — | 74.8% |
| LMArena WebDev | — | 1409 |
| WeirdML | — | 79.3% |
| LMArena Coding | 1455 | — |
| ALE-Bench | — | 1,655 |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, GPT-5.3 Codex: 48.0 (#9)
| Benchmark | ERNIE 5.0 0110 | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | — | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |
Reasoning Not comparable
ERNIE 5.0 0110: 17.0 (#297), GPT-5.3 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.3 Codex |
|---|---|---|
| NYT Connections (extended) | 10.3% | — |
| Thematic Generalization | 41.7% | — |
| LMArena Hard Prompts | 1445 | — |
| Epoch Capabilities Index | — | 156.77 |
Math Not comparable
ERNIE 5.0 0110: 39.3 (#110), GPT-5.3 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.3 Codex |
|---|---|---|
| LMArena Math | 1437 | — |
Knowledge Not comparable
ERNIE 5.0 0110: 39.8 (#128), GPT-5.3 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.3 Codex |
|---|---|---|
| LMArena Expert | 1428 | — |
Multimodal Not comparable
ERNIE 5.0 0110: 39.9 (#53), GPT-5.3 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.3 Codex |
|---|---|---|
| LMArena Vision | 1249 | — |
Multilingual Not comparable
ERNIE 5.0 0110: 54.1 (#49), GPT-5.3 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.3 Codex |
|---|---|---|
| LMArena Non-English | 1436 | — |
| LMArena Chinese | 1512 | — |
| LMArena French | 1467 | — |
| LMArena German | 1460 | — |
| LMArena Japanese | 1382 | — |
| LMArena Korean | 1406 | — |
| LMArena Russian | 1446 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Not comparable
ERNIE 5.0 0110: 74.5 (#92), GPT-5.3 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.3 Codex |
|---|---|---|
| LMArena Instruction Following | 1413 | — |
Long Context Not comparable
ERNIE 5.0 0110: 43.4 (#95), GPT-5.3 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1422 | — |
Writing & Preference Not comparable
ERNIE 5.0 0110: 63.1 (#66), GPT-5.3 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1445 | — |
| LMArena Creative Writing | 1426 | — |
| LMArena Multi-Turn | 1434 | — |
Frequently asked questions
Is ERNIE 5.0 0110 better than GPT-5.3 Codex?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 41.8 on the Noometry Index.
Is ERNIE 5.0 0110 or GPT-5.3 Codex better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 43.0 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and GPT-5.3 Codex share?
0 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and GPT-5.3 Codex has 8.