Model comparison
DeepSeek-V3.1-Terminus vs Hunyuan Large 2025 02 10
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeek
TencentSummary
- They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Hunyuan Large 2025 02 10 in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.0 to 48.7.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 | |
|---|---|---|
| Provider | DeepSeek | Tencent |
| Noometry Index | 43.1 | 38.6 |
| Released | 2025-09-22 | — |
| Weights | Open | Proprietary |
| Context window | 164K | — |
| Max output | 147K | — |
| Input $ / M tokens | $0.27 | — |
| Output $ / M tokens | $1 | — |
| Results tracked | 16 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 42.0 (#113), Hunyuan Large 2025 02 10: 38.2 (#181)
| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Coding | 1426 | 1307 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |
Reasoning Too close to call
DeepSeek-V3.1-Terminus: 26.4 (#133), Hunyuan Large 2025 02 10: 25.5 (#148)
| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1286 |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
Math DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 38.5 (#137), Hunyuan Large 2025 02 10: 35.8 (#178)
| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Math | 1402 | 1281 |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Hunyuan Large 2025 02 10: 35.1 (#188)
| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Expert | — | 1276 |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.1 (#92), Hunyuan Large 2025 02 10: 42.0 (#200)
| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Non-English | 1407 | 1265 |
| LMArena Russian | 1436 | 1266 |
| LMArena Chinese | — | 1346 |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.0 (#106), Hunyuan Large 2025 02 10: 67.3 (#197)
| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1277 |
Long Context DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 43.4 (#97), Hunyuan Large 2025 02 10: 40.8 (#149)
| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Longer Query | 1421 | 1341 |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.0 (#92), Hunyuan Large 2025 02 10: 48.7 (#197)
| Benchmark | DeepSeek-V3.1-Terminus | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Text | 1419 | 1288 |
| LMArena Creative Writing | 1403 | 1264 |
| LMArena Multi-Turn | 1411 | 1284 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Hunyuan Large 2025 02 10?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index.
Is DeepSeek-V3.1-Terminus or Hunyuan Large 2025 02 10 better for coding?
DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 38.2 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1-Terminus and Hunyuan Large 2025 02 10 share?
10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Hunyuan Large 2025 02 10 has 12.