Model comparison
GPT-5-Codex vs Hunyuan Standard 2025 02 10
GPT-5-Codex and Hunyuan Standard 2025 02 10 score almost the same on the Noometry Index (37.9 vs 37.9), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
TencentSummary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 25.0.
Side by side
| GPT-5-Codex | Hunyuan Standard 2025 02 10 | |
|---|---|---|
| Provider | OpenAI | Tencent |
| Noometry Index | 37.9 | 37.9 |
| Released | 2025-09-15 | — |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 3 | 12 |
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Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 42.4 (#103), Hunyuan Standard 2025 02 10: 37.1 (#197)
| Benchmark | GPT-5-Codex | Hunyuan Standard 2025 02 10 |
|---|---|---|
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1270 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), Hunyuan Standard 2025 02 10: —
| Benchmark | GPT-5-Codex | Hunyuan Standard 2025 02 10 |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Hunyuan Standard 2025 02 10: 25.0 (#154)
| Benchmark | GPT-5-Codex | Hunyuan Standard 2025 02 10 |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 1264 |
Math Not comparable
GPT-5-Codex: —, Hunyuan Standard 2025 02 10: 35.6 (#179)
| Benchmark | GPT-5-Codex | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Math | — | 1274 |
Knowledge Not comparable
GPT-5-Codex: —, Hunyuan Standard 2025 02 10: 34.2 (#197)
| Benchmark | GPT-5-Codex | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Expert | — | 1248 |
Multilingual Not comparable
GPT-5-Codex: —, Hunyuan Standard 2025 02 10: 41.7 (#203)
| Benchmark | GPT-5-Codex | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Non-English | — | 1262 |
| LMArena Chinese | — | 1319 |
| LMArena Russian | — | 1258 |
Instruction Following Not comparable
GPT-5-Codex: —, Hunyuan Standard 2025 02 10: 65.5 (#219)
| Benchmark | GPT-5-Codex | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Instruction Following | — | 1245 |
Long Context Not comparable
GPT-5-Codex: —, Hunyuan Standard 2025 02 10: 39.5 (#173)
| Benchmark | GPT-5-Codex | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Longer Query | — | 1301 |
Writing & Preference Not comparable
GPT-5-Codex: —, Hunyuan Standard 2025 02 10: 47.2 (#214)
| Benchmark | GPT-5-Codex | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Text | — | 1274 |
| LMArena Creative Writing | — | 1242 |
| LMArena Multi-Turn | — | 1275 |
Frequently asked questions
Is GPT-5-Codex better than Hunyuan Standard 2025 02 10?
GPT-5-Codex and Hunyuan Standard 2025 02 10 score almost the same on the Noometry Index (37.9 vs 37.9), so choose on price, context window or the category you care about most.
Is GPT-5-Codex or Hunyuan Standard 2025 02 10 better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 37.1 in the Noometry coding category.
How many benchmarks do GPT-5-Codex and Hunyuan Standard 2025 02 10 share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Hunyuan Standard 2025 02 10 has 12.