Model comparison
DeepSeek-V3.1-Terminus vs MiMo-V2.6-Flash
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 43.1 on the Noometry Index.
Last verified . 12 shared benchmarks.
DeepSeekSummary
- They share 12 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 0 categories and MiMo-V2.6-Flash in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.6-Flash leads 51.9 to 38.5.
- The biggest single-benchmark swing is SciCode: 40.6% for DeepSeek-V3.1-Terminus and 51.3% for MiMo-V2.6-Flash.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.27 / $1 for DeepSeek-V3.1-Terminus.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 164K.
Side by side
| DeepSeek-V3.1-Terminus | MiMo-V2.6-Flash | |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 43.1 | 48.5 |
| Released | 2025-09-22 | 2026-09-21 |
| Weights | Open | Open |
| Context window | 164K | 1.05M |
| Max output | 147K | 131K |
| Input $ / M tokens | $0.27 | $0.14 |
| Output $ / M tokens | $1 | $0.28 |
| Results tracked | 16 | 19 |
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Category by category
Coding MiMo-V2.6-Flash leads
DeepSeek-V3.1-Terminus: 42.0 (#113), MiMo-V2.6-Flash: 53.4 (#30)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2.6-Flash |
|---|---|---|
| SciCode | 40.6% | 51.3% |
| LMArena Coding | 1426 | 1504 |
| LMArena WebDev | — | 1637 |
| ALE-Bench | 745.17 | — |
Reasoning MiMo-V2.6-Flash leads
DeepSeek-V3.1-Terminus: 26.4 (#133), MiMo-V2.6-Flash: 36.5 (#66)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2.6-Flash |
|---|---|---|
| CritPt | 1.7% | 12% |
| LMArena Hard Prompts | 1426 | 1482 |
| Kagi LLM Benchmark | 57.4% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
Math MiMo-V2.6-Flash leads
DeepSeek-V3.1-Terminus: 38.5 (#137), MiMo-V2.6-Flash: 51.9 (#52)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Math | 1402 | 1468 |
| ProofBench | — | 63% |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, MiMo-V2.6-Flash: 42.2 (#99)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | — | 1501 |
Multimodal Not comparable
DeepSeek-V3.1-Terminus: —, MiMo-V2.6-Flash: 40.5 (#47)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | — | 1259 |
Multilingual MiMo-V2.6-Flash leads
DeepSeek-V3.1-Terminus: 52.1 (#92), MiMo-V2.6-Flash: 54.0 (#51)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1407 | 1434 |
| LMArena Russian | 1436 | 1409 |
| LMArena Chinese | — | 1511 |
| LMArena French | — | 1475 |
| LMArena Spanish | — | 1456 |
Instruction Following MiMo-V2.6-Flash leads
DeepSeek-V3.1-Terminus: 74.0 (#106), MiMo-V2.6-Flash: 76.8 (#35)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1404 | 1463 |
Long Context MiMo-V2.6-Flash leads
DeepSeek-V3.1-Terminus: 43.4 (#97), MiMo-V2.6-Flash: 44.8 (#57)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1421 | 1463 |
Writing & Preference MiMo-V2.6-Flash leads
DeepSeek-V3.1-Terminus: 61.0 (#92), MiMo-V2.6-Flash: 63.1 (#67)
| Benchmark | DeepSeek-V3.1-Terminus | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1419 | 1455 |
| LMArena Creative Writing | 1403 | 1400 |
| LMArena Multi-Turn | 1411 | 1451 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than MiMo-V2.6-Flash?
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 43.1 on the Noometry Index.
Which is cheaper, DeepSeek-V3.1-Terminus or MiMo-V2.6-Flash?
MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.27 and $1.
Is DeepSeek-V3.1-Terminus or MiMo-V2.6-Flash better for coding?
MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 42.0 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Flash does, with 1.05M tokens against 164K.
How many benchmarks do DeepSeek-V3.1-Terminus and MiMo-V2.6-Flash share?
12 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and MiMo-V2.6-Flash has 19.