Model comparison
DeepSeek-V3.1-Terminus vs MiMo-V2-Pro
DeepSeek-V3.1-Terminus and MiMo-V2-Pro score almost the same on the Noometry Index (43.1 vs 43.0), so choose on price, context window or the category you care about most.
Last verified . 11 shared benchmarks.
DeepSeekSummary
- They share 11 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 2 categories and MiMo-V2-Pro in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1-Terminus leads 26.4 to 22.1.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1-Terminus | MiMo-V2-Pro | |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 43.1 | 43.0 |
| Released | 2025-09-22 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 164K | 1.05M |
| Max output | 147K | 131K |
| Input $ / M tokens | $0.27 | $0.43 |
| Output $ / M tokens | $1 | $0.87 |
| Results tracked | 16 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
DeepSeek-V3.1-Terminus: 42.0 (#113), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1426 | 1476 |
| ALE-Bench | 745.17 | 785.17 |
| LMArena WebDev | — | 1433 |
| SciCode | 40.6% | — |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 26.4 (#133), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1457 |
| Kagi LLM Benchmark | 57.4% | — |
| NYT Connections (extended) | — | 25.8% |
| CritPt | 1.7% | — |
| Thematic Generalization | — | 45.9% |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
Math MiMo-V2-Pro leads
DeepSeek-V3.1-Terminus: 38.5 (#137), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1402 | 1447 |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, MiMo-V2-Pro: 41.4 (#111)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | — | 1478 |
Multilingual Too close to call
DeepSeek-V3.1-Terminus: 52.1 (#92), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1407 | 1416 |
| LMArena Russian | 1436 | 1427 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Spanish | — | 1457 |
Instruction Following MiMo-V2-Pro leads
DeepSeek-V3.1-Terminus: 74.0 (#106), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1404 | 1445 |
Long Context DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 43.4 (#97), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1421 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference MiMo-V2-Pro leads
DeepSeek-V3.1-Terminus: 61.0 (#92), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1419 | 1436 |
| LMArena Creative Writing | 1403 | 1415 |
| LMArena Multi-Turn | 1411 | 1456 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than MiMo-V2-Pro?
DeepSeek-V3.1-Terminus and MiMo-V2-Pro score almost the same on the Noometry Index (43.1 vs 43.0), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek-V3.1-Terminus or MiMo-V2-Pro?
DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Is DeepSeek-V3.1-Terminus or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 42.0 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 164K.
How many benchmarks do DeepSeek-V3.1-Terminus and MiMo-V2-Pro share?
11 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and MiMo-V2-Pro has 23.