Model comparison
ERNIE 5.0 0110 vs GPT-5.2 Codex
ERNIE 5.0 0110 and GPT-5.2 Codex score almost the same on the Noometry Index (41.8 vs 42.6), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
BaiduSide by side
| ERNIE 5.0 0110 | GPT-5.2 Codex | |
|---|---|---|
| Provider | Baidu | OpenAI |
| Noometry Index | 41.8 | 42.6 |
| Released | — | 2025-12-18 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 20 | 5 |
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Category by category
Coding GPT-5.2 Codex leads
ERNIE 5.0 0110: 43.0 (#94), GPT-5.2 Codex: 45.5 (#71)
| Benchmark | ERNIE 5.0 0110 | GPT-5.2 Codex |
|---|---|---|
| SWE-bench Verified (bash only) | — | 72.8% |
| LMArena WebDev | — | 1339 |
| SWE-bench Multilingual | — | 66.3% |
| LMArena Coding | 1455 | — |
| ALE-Bench | — | 1,300 |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, GPT-5.2 Codex: 41.0 (#22)
| Benchmark | ERNIE 5.0 0110 | GPT-5.2 Codex |
|---|---|---|
| Terminal-Bench | — | 66.5% |
Reasoning Not comparable
ERNIE 5.0 0110: 17.0 (#297), GPT-5.2 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.2 Codex |
|---|---|---|
| NYT Connections (extended) | 10.3% | — |
| Thematic Generalization | 41.7% | — |
| LMArena Hard Prompts | 1445 | — |
Math Not comparable
ERNIE 5.0 0110: 39.3 (#110), GPT-5.2 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.2 Codex |
|---|---|---|
| LMArena Math | 1437 | — |
Knowledge Not comparable
ERNIE 5.0 0110: 39.8 (#128), GPT-5.2 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.2 Codex |
|---|---|---|
| LMArena Expert | 1428 | — |
Multimodal Not comparable
ERNIE 5.0 0110: 39.9 (#53), GPT-5.2 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.2 Codex |
|---|---|---|
| LMArena Vision | 1249 | — |
Multilingual Not comparable
ERNIE 5.0 0110: 54.1 (#49), GPT-5.2 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.2 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-5.2 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.2 Codex |
|---|---|---|
| LMArena Instruction Following | 1413 | — |
Long Context Not comparable
ERNIE 5.0 0110: 43.4 (#95), GPT-5.2 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.2 Codex |
|---|---|---|
| LMArena Longer Query | 1422 | — |
Writing & Preference Not comparable
ERNIE 5.0 0110: 63.1 (#66), GPT-5.2 Codex: —
| Benchmark | ERNIE 5.0 0110 | GPT-5.2 Codex |
|---|---|---|
| LMArena Text | 1445 | — |
| LMArena Creative Writing | 1426 | — |
| LMArena Multi-Turn | 1434 | — |
Frequently asked questions
Is ERNIE 5.0 0110 better than GPT-5.2 Codex?
ERNIE 5.0 0110 and GPT-5.2 Codex score almost the same on the Noometry Index (41.8 vs 42.6), so choose on price, context window or the category you care about most.
Is ERNIE 5.0 0110 or GPT-5.2 Codex better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 43.0 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and GPT-5.2 Codex share?
0 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and GPT-5.2 Codex has 5.