Model comparison
GPT-5.2 Codex vs Hunyuan Large Vision
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 37.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
TencentSummary
- The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 38.3.
Side by side
| GPT-5.2 Codex | Hunyuan Large Vision | |
|---|---|---|
| Provider | OpenAI | Tencent |
| Noometry Index | 42.6 | 37.6 |
| Released | 2025-12-18 | — |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 5 | 13 |
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Category by category
Coding GPT-5.2 Codex leads
GPT-5.2 Codex: 45.5 (#71), Hunyuan Large Vision: 38.3 (#180)
| Benchmark | GPT-5.2 Codex | Hunyuan Large Vision |
|---|---|---|
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1339 | — |
| SWE-bench Multilingual | 66.3% | — |
| LMArena Coding | — | 1308 |
| ALE-Bench | 1,300 | — |
Agentic & Tool Use Not comparable
GPT-5.2 Codex: 41.0 (#22), Hunyuan Large Vision: —
| Benchmark | GPT-5.2 Codex | Hunyuan Large Vision |
|---|---|---|
| Terminal-Bench | 66.5% | — |
Reasoning Not comparable
GPT-5.2 Codex: —, Hunyuan Large Vision: 24.8 (#158)
| Benchmark | GPT-5.2 Codex | Hunyuan Large Vision |
|---|---|---|
| LMArena Hard Prompts | — | 1257 |
Math Not comparable
GPT-5.2 Codex: —, Hunyuan Large Vision: 35.5 (#183)
| Benchmark | GPT-5.2 Codex | Hunyuan Large Vision |
|---|---|---|
| LMArena Math | — | 1268 |
Knowledge Not comparable
GPT-5.2 Codex: —, Hunyuan Large Vision: 34.4 (#196)
| Benchmark | GPT-5.2 Codex | Hunyuan Large Vision |
|---|---|---|
| LMArena Expert | — | 1252 |
Multimodal Not comparable
GPT-5.2 Codex: —, Hunyuan Large Vision: 35.7 (#83)
| Benchmark | GPT-5.2 Codex | Hunyuan Large Vision |
|---|---|---|
| LMArena Vision | — | 1180 |
Multilingual Not comparable
GPT-5.2 Codex: —, Hunyuan Large Vision: 39.9 (#221)
| Benchmark | GPT-5.2 Codex | Hunyuan Large Vision |
|---|---|---|
| LMArena Non-English | — | 1236 |
| LMArena Chinese | — | 1287 |
| LMArena Russian | — | 1243 |
Instruction Following Not comparable
GPT-5.2 Codex: —, Hunyuan Large Vision: 65.8 (#215)
| Benchmark | GPT-5.2 Codex | Hunyuan Large Vision |
|---|---|---|
| LMArena Instruction Following | — | 1251 |
Long Context Not comparable
GPT-5.2 Codex: —, Hunyuan Large Vision: 38.9 (#189)
| Benchmark | GPT-5.2 Codex | Hunyuan Large Vision |
|---|---|---|
| LMArena Longer Query | — | 1280 |
Writing & Preference Not comparable
GPT-5.2 Codex: —, Hunyuan Large Vision: 46.5 (#218)
| Benchmark | GPT-5.2 Codex | Hunyuan Large Vision |
|---|---|---|
| LMArena Text | — | 1263 |
| LMArena Creative Writing | — | 1248 |
| LMArena Multi-Turn | — | 1254 |
Frequently asked questions
Is GPT-5.2 Codex better than Hunyuan Large Vision?
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 37.6 on the Noometry Index.
Is GPT-5.2 Codex or Hunyuan Large Vision better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 38.3 in the Noometry coding category.
How many benchmarks do GPT-5.2 Codex and Hunyuan Large Vision share?
0 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Hunyuan Large Vision has 13.