Model comparison
GPT-6.1 Sol vs MiMo-V2-Flash
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 23× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. GPT-6.1 Sol scores higher in 8 categories and MiMo-V2-Flash in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 24.9.
- The biggest single-benchmark swing is CritPt: 31.7% for GPT-6.1 Sol and 0% for MiMo-V2-Flash.
- MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 262K.
- MiMo-V2-Flash has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | MiMo-V2-Flash | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 65.6 | 41.3 |
| Released | 2026-09-29 | 2025-12-16 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $0.14 |
| Output $ / M tokens | $10 | $0.28 |
| Results tracked | 34 | 21 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), MiMo-V2-Flash: 36.1 (#211)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Flash |
|---|---|---|
| LMArena WebDev | 1755 | 1330 |
| SciCode | 55.8% | 25.9% |
| LMArena Coding | 1487 | 1443 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| ALE-Bench | — | 737.95 |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), MiMo-V2-Flash: —
| Benchmark | GPT-6.1 Sol | MiMo-V2-Flash |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), MiMo-V2-Flash: 24.9 (#157)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Flash |
|---|---|---|
| CritPt | 31.7% | 0% |
| LMArena Hard Prompts | 1466 | 1420 |
| ARC-AGI-2 | 94.2% | — |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |
| Epoch Capabilities Index | 166.09 | — |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), MiMo-V2-Flash: 38.3 (#139)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1464 | 1396 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 99% | — |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), MiMo-V2-Flash: 39.7 (#131)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1502 | 1425 |
| GPQA Diamond | 95.4% | — |
| SimpleQA Verified | 73.9% | — |
Multimodal Not comparable
GPT-6.1 Sol: 52.7 (#5), MiMo-V2-Flash: —
| Benchmark | GPT-6.1 Sol | MiMo-V2-Flash |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), MiMo-V2-Flash: 51.0 (#113)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1438 | 1392 |
| LMArena Chinese | 1477 | 1462 |
| LMArena Russian | 1455 | 1387 |
| LMArena French | — | 1429 |
| LMArena German | — | 1395 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1358 |
| LMArena Spanish | — | 1420 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), MiMo-V2-Flash: 73.5 (#120)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1468 | 1392 |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), MiMo-V2-Flash: 43.0 (#110)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1465 | 1409 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), MiMo-V2-Flash: 59.7 (#106)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1447 | 1411 |
| LMArena Creative Writing | 1432 | 1375 |
| LMArena Multi-Turn | 1449 | 1404 |
Frequently asked questions
Is GPT-6.1 Sol better than MiMo-V2-Flash?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 23× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Which is cheaper, GPT-6.1 Sol 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-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or MiMo-V2-Flash better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 36.1 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 262K.
How many benchmarks do GPT-6.1 Sol and MiMo-V2-Flash share?
15 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and MiMo-V2-Flash has 21.