Model comparison
gpt-oss-20b vs MiMo-V2-Flash
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 32.5 on the Noometry Index. gpt-oss-20b costs 4.9× less per token, which makes it the better buy when MiMo-V2-Flash's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. gpt-oss-20b scores higher in 2 categories and MiMo-V2-Flash in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Flash leads 59.7 to 35.5.
- The biggest single-benchmark swing is SciCode: 34.4% for gpt-oss-20b and 25.9% for MiMo-V2-Flash.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Flash.
- MiMo-V2-Flash accepts more context: 262K tokens versus 131K.
Side by side
| gpt-oss-20b | MiMo-V2-Flash | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 32.5 | 41.3 |
| Released | 2025-08-05 | 2025-12-16 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.018 | $0.14 |
| Output $ / M tokens | $0.09 | $0.28 |
| Results tracked | 34 | 21 |
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Category by category
Coding gpt-oss-20b leads
gpt-oss-20b: 37.6 (#192), MiMo-V2-Flash: 36.1 (#211)
| Benchmark | gpt-oss-20b | MiMo-V2-Flash |
|---|---|---|
| SciCode | 34.4% | 25.9% |
| LMArena Coding | 1306 | 1443 |
| ALE-Bench | 566.05 | 737.95 |
| LMArena WebDev | — | 1330 |
| WeirdML | 40.9% | — |
Agentic & Tool Use Not comparable
gpt-oss-20b: 9.3 (#154), MiMo-V2-Flash: —
| Benchmark | gpt-oss-20b | MiMo-V2-Flash |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning MiMo-V2-Flash leads
gpt-oss-20b: 19.3 (#261), MiMo-V2-Flash: 24.9 (#157)
| Benchmark | gpt-oss-20b | MiMo-V2-Flash |
|---|---|---|
| CritPt | 1.4% | 0% |
| LMArena Hard Prompts | 1274 | 1420 |
| Kagi LLM Benchmark | 53.2% | — |
| Chess Puzzles | 4% | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| Epoch Capabilities Index | 137.82 | — |
Math gpt-oss-20b leads
gpt-oss-20b: 39.4 (#103), MiMo-V2-Flash: 38.3 (#139)
| Benchmark | gpt-oss-20b | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1317 | 1396 |
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
Knowledge MiMo-V2-Flash leads
gpt-oss-20b: 34.6 (#195), MiMo-V2-Flash: 39.7 (#131)
| Benchmark | gpt-oss-20b | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1258 | 1425 |
| GPQA Diamond | 60.8% | — |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
Multilingual MiMo-V2-Flash leads
gpt-oss-20b: 42.2 (#197), MiMo-V2-Flash: 51.0 (#113)
| Benchmark | gpt-oss-20b | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1268 | 1392 |
| LMArena Chinese | 1314 | 1462 |
| LMArena German | 1255 | 1395 |
| LMArena Japanese | 1244 | 1325 |
| LMArena Korean | 1236 | 1358 |
| LMArena Russian | 1278 | 1387 |
| LMArena Spanish | 1267 | 1420 |
| LMArena French | — | 1429 |
Instruction Following MiMo-V2-Flash leads
gpt-oss-20b: 61.8 (#240), MiMo-V2-Flash: 73.5 (#120)
| Benchmark | gpt-oss-20b | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1236 | 1392 |
| IFEval | 73.2% | — |
Long Context MiMo-V2-Flash leads
gpt-oss-20b: 37.9 (#209), MiMo-V2-Flash: 43.0 (#110)
| Benchmark | gpt-oss-20b | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1250 | 1409 |
Writing & Preference MiMo-V2-Flash leads
gpt-oss-20b: 35.5 (#265), MiMo-V2-Flash: 59.7 (#106)
| Benchmark | gpt-oss-20b | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1287 | 1411 |
| LMArena Creative Writing | 1201 | 1375 |
| LMArena Multi-Turn | 1268 | 1404 |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
Frequently asked questions
Is gpt-oss-20b better than MiMo-V2-Flash?
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 32.5 on the Noometry Index. gpt-oss-20b costs 4.9× less per token, which makes it the better buy when MiMo-V2-Flash's lead doesn't matter for your workload.
Which is cheaper, gpt-oss-20b or MiMo-V2-Flash?
gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; MiMo-V2-Flash lists at $0.14 and $0.28.
Is gpt-oss-20b or MiMo-V2-Flash better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 36.1 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Flash does, with 262K tokens against 131K.
How many benchmarks do gpt-oss-20b and MiMo-V2-Flash share?
19 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and MiMo-V2-Flash has 21.