Model comparison
MiMo-V2-Omni vs Step 3.7 Flash
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 37.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where MiMo-V2-Omni leads 29.7 to 21.6.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.18 / $1.11 for Step 3.7 Flash.
- MiMo-V2-Omni accepts more context: 262K tokens versus 256K.
- Step 3.7 Flash has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Omni | Step 3.7 Flash | |
|---|---|---|
| Provider | Xiaomi | StepFun |
| Noometry Index | 43.6 | 37.3 |
| Released | 2026-03-18 | 2026-05-29 |
| Weights | Proprietary | Open |
| Context window | 262K | 256K |
| Max output | 131K | 256K |
| Input $ / M tokens | $0.14 | $0.18 |
| Output $ / M tokens | $0.28 | $1.11 |
| Results tracked | 18 | 5 |
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Category by category
Coding MiMo-V2-Omni leads
MiMo-V2-Omni: 43.3 (#89), Step 3.7 Flash: 40.0 (#150)
| Benchmark | MiMo-V2-Omni | Step 3.7 Flash |
|---|---|---|
| SciCode | — | 40% |
| LMArena Coding | 1466 | — |
| ALE-Bench | — | 694.12 |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 29.7 (#88), Step 3.7 Flash: 21.6 (#219)
| Benchmark | MiMo-V2-Omni | Step 3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
| LMArena Hard Prompts | 1445 | — |
Math Step 3.7 Flash leads
MiMo-V2-Omni: 39.1 (#115), Step 3.7 Flash: 42.9 (#82)
| Benchmark | MiMo-V2-Omni | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
| LMArena Math | 1430 | — |
Knowledge Not comparable
MiMo-V2-Omni: 40.5 (#118), Step 3.7 Flash: —
| Benchmark | MiMo-V2-Omni | Step 3.7 Flash |
|---|---|---|
| LMArena Expert | 1449 | — |
Multimodal Not comparable
MiMo-V2-Omni: 38.6 (#63), Step 3.7 Flash: —
| Benchmark | MiMo-V2-Omni | Step 3.7 Flash |
|---|---|---|
| LMArena Vision | 1228 | — |
Multilingual Not comparable
MiMo-V2-Omni: 51.8 (#102), Step 3.7 Flash: —
| Benchmark | MiMo-V2-Omni | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1447 | — |
| LMArena German | 1399 | — |
| LMArena Japanese | 1317 | — |
| LMArena Korean | 1355 | — |
| LMArena Russian | 1412 | — |
| LMArena Spanish | 1434 | — |
Instruction Following Not comparable
MiMo-V2-Omni: 75.2 (#66), Step 3.7 Flash: —
| Benchmark | MiMo-V2-Omni | Step 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1428 | — |
Long Context Not comparable
MiMo-V2-Omni: 44.1 (#76), Step 3.7 Flash: —
| Benchmark | MiMo-V2-Omni | Step 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1442 | — |
Writing & Preference Not comparable
MiMo-V2-Omni: 61.4 (#87), Step 3.7 Flash: —
| Benchmark | MiMo-V2-Omni | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1423 | — |
| LMArena Creative Writing | 1392 | — |
| LMArena Multi-Turn | 1445 | — |
Frequently asked questions
Is MiMo-V2-Omni better than Step 3.7 Flash?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 37.3 on the Noometry Index.
Which is cheaper, MiMo-V2-Omni or Step 3.7 Flash?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Step 3.7 Flash lists at $0.18 and $1.11.
Is MiMo-V2-Omni or Step 3.7 Flash better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 40.0 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 256K.
How many benchmarks do MiMo-V2-Omni and Step 3.7 Flash share?
0 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Step 3.7 Flash has 5.