Model comparison
GPT-5.5 Pro vs MiMo-V2-Flash
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 386× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-5.5 Pro scores higher in 3 categories and MiMo-V2-Flash in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 24.9.
- The biggest single-benchmark swing is CritPt: 30.6% for GPT-5.5 Pro and 0% for MiMo-V2-Flash.
- MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 262K.
- MiMo-V2-Flash has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | MiMo-V2-Flash | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 64.3 | 41.3 |
| Released | 2026-04-23 | 2025-12-16 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $30 | $0.14 |
| Output $ / M tokens | $180 | $0.28 |
| Results tracked | 14 | 21 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, MiMo-V2-Flash: 36.1 (#211)
| Benchmark | GPT-5.5 Pro | MiMo-V2-Flash |
|---|---|---|
| LMArena WebDev | — | 1330 |
| SciCode | — | 25.9% |
| LMArena Coding | — | 1443 |
| ALE-Bench | — | 737.95 |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), MiMo-V2-Flash: 24.9 (#157)
| Benchmark | GPT-5.5 Pro | MiMo-V2-Flash |
|---|---|---|
| CritPt | 30.6% | 0% |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| Chess Puzzles | 64% | — |
| LMArena Hard Prompts | — | 1420 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Epoch Capabilities Index | 162.07 | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), MiMo-V2-Flash: 38.3 (#139)
| Benchmark | GPT-5.5 Pro | MiMo-V2-Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LMArena Math | — | 1396 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), MiMo-V2-Flash: 39.7 (#131)
| Benchmark | GPT-5.5 Pro | MiMo-V2-Flash |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| LMArena Expert | — | 1425 |
Multilingual Not comparable
GPT-5.5 Pro: —, MiMo-V2-Flash: 51.0 (#113)
| Benchmark | GPT-5.5 Pro | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | — | 1392 |
| LMArena Chinese | — | 1462 |
| LMArena French | — | 1429 |
| LMArena German | — | 1395 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1358 |
| LMArena Russian | — | 1387 |
| LMArena Spanish | — | 1420 |
Instruction Following Not comparable
GPT-5.5 Pro: —, MiMo-V2-Flash: 73.5 (#120)
| Benchmark | GPT-5.5 Pro | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | — | 1392 |
Long Context Not comparable
GPT-5.5 Pro: —, MiMo-V2-Flash: 43.0 (#110)
| Benchmark | GPT-5.5 Pro | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | — | 1409 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, MiMo-V2-Flash: 59.7 (#106)
| Benchmark | GPT-5.5 Pro | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | — | 1411 |
| LMArena Creative Writing | — | 1375 |
| LMArena Multi-Turn | — | 1404 |
Frequently asked questions
Is GPT-5.5 Pro better than MiMo-V2-Flash?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 386× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 Pro or MiMo-V2-Flash?
MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 262K.
How many benchmarks do GPT-5.5 Pro and MiMo-V2-Flash share?
1 benchmark has published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and MiMo-V2-Flash has 21.