Model comparison
DeepSeek-V3.1-Terminus vs Wizardlm 70b
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 33.0 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeek
MicrosoftSummary
- They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Wizardlm 70b in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.0 to 34.8.
Side by side
| DeepSeek-V3.1-Terminus | Wizardlm 70b | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 43.1 | 33.0 |
| Released | 2025-09-22 | — |
| Weights | Open | Open |
| Context window | 164K | — |
| Max output | 147K | — |
| Input $ / M tokens | $0.27 | — |
| Output $ / M tokens | $1 | — |
| Results tracked | 16 | 12 |
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Category by category
Coding DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 42.0 (#113), Wizardlm 70b: 31.4 (#285)
| Benchmark | DeepSeek-V3.1-Terminus | Wizardlm 70b |
|---|---|---|
| LMArena Coding | 1426 | 1081 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 26.4 (#133), Wizardlm 70b: 20.7 (#234)
| Benchmark | DeepSeek-V3.1-Terminus | Wizardlm 70b |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1079 |
| 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), Wizardlm 70b: 32.2 (#218)
| Benchmark | DeepSeek-V3.1-Terminus | Wizardlm 70b |
|---|---|---|
| LMArena Math | 1402 | 1116 |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.1 (#92), Wizardlm 70b: 29.6 (#265)
| Benchmark | DeepSeek-V3.1-Terminus | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | 1407 | 1078 |
| LMArena Russian | 1436 | 1155 |
| LMArena Chinese | — | 1052 |
| LMArena German | — | 1083 |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.0 (#106), Wizardlm 70b: 56.3 (#273)
| Benchmark | DeepSeek-V3.1-Terminus | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | 1404 | 1093 |
Long Context DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 43.4 (#97), Wizardlm 70b: 33.3 (#263)
| Benchmark | DeepSeek-V3.1-Terminus | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | 1421 | 1097 |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.0 (#92), Wizardlm 70b: 34.8 (#269)
| Benchmark | DeepSeek-V3.1-Terminus | Wizardlm 70b |
|---|---|---|
| LMArena Text | 1419 | 1120 |
| LMArena Creative Writing | 1403 | 1149 |
| LMArena Multi-Turn | 1411 | 1108 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Wizardlm 70b?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 33.0 on the Noometry Index.
Is DeepSeek-V3.1-Terminus or Wizardlm 70b better for coding?
DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 31.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1-Terminus and Wizardlm 70b share?
10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Wizardlm 70b has 12.