Model comparison
GPT-5.3 Codex vs Hunyuan Turbos 20250226
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 40.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 39.3.
Side by side
| GPT-5.3 Codex | Hunyuan Turbos 20250226 | |
|---|---|---|
| Provider | OpenAI | Tencent |
| Noometry Index | 45.5 | 40.6 |
| Released | 2026-02-05 | — |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 8 | 16 |
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Category by category
Coding GPT-5.3 Codex leads
GPT-5.3 Codex: 48.5 (#51), Hunyuan Turbos 20250226: 39.3 (#148)
| Benchmark | GPT-5.3 Codex | Hunyuan Turbos 20250226 |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1408 | — |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1361 |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 47.8 (#9), Hunyuan Turbos 20250226: —
| Benchmark | GPT-5.3 Codex | Hunyuan Turbos 20250226 |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Hunyuan Turbos 20250226: 26.7 (#115)
| Benchmark | GPT-5.3 Codex | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Hard Prompts | — | 1374 |
| Epoch Capabilities Index | 156.84 | — |
Math Not comparable
GPT-5.3 Codex: —, Hunyuan Turbos 20250226: 34.8 (#155)
| Benchmark | GPT-5.3 Codex | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Math | — | 1359 |
Knowledge Not comparable
GPT-5.3 Codex: —, Hunyuan Turbos 20250226: 36.4 (#158)
| Benchmark | GPT-5.3 Codex | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Expert | — | 1338 |
Multilingual Not comparable
GPT-5.3 Codex: —, Hunyuan Turbos 20250226: 49.1 (#132)
| Benchmark | GPT-5.3 Codex | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Non-English | — | 1362 |
| LMArena Chinese | — | 1416 |
| LMArena French | — | 1390 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1338 |
| LMArena Korean | — | 1351 |
| LMArena Russian | — | 1368 |
Instruction Following Not comparable
GPT-5.3 Codex: —, Hunyuan Turbos 20250226: 71.2 (#153)
| Benchmark | GPT-5.3 Codex | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Instruction Following | — | 1344 |
Long Context Not comparable
GPT-5.3 Codex: —, Hunyuan Turbos 20250226: 41.6 (#132)
| Benchmark | GPT-5.3 Codex | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Longer Query | — | 1365 |
Writing & Preference Not comparable
GPT-5.3 Codex: —, Hunyuan Turbos 20250226: 57.5 (#125)
| Benchmark | GPT-5.3 Codex | Hunyuan Turbos 20250226 |
|---|---|---|
| LMArena Text | — | 1377 |
| LMArena Creative Writing | — | 1358 |
| LMArena Multi-Turn | — | 1387 |
Frequently asked questions
Is GPT-5.3 Codex better than Hunyuan Turbos 20250226?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 40.6 on the Noometry Index.
Is GPT-5.3 Codex or Hunyuan Turbos 20250226 better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 39.3 in the Noometry coding category.
How many benchmarks do GPT-5.3 Codex and Hunyuan Turbos 20250226 share?
0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Hunyuan Turbos 20250226 has 16.