Model comparison
GPT-6.1 Sol vs MiMo-V2-Omni
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 43.6 on the Noometry Index. MiMo-V2-Omni 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 . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and MiMo-V2-Omni in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 39.1.
- MiMo-V2-Omni 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.
Side by side
| GPT-6.1 Sol | MiMo-V2-Omni | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 65.6 | 43.6 |
| Released | 2026-09-29 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 262K |
| Max output | 128K | 131K |
| Input $ / M tokens | $2 | $0.14 |
| Output $ / M tokens | $10 | $0.28 |
| Results tracked | 34 | 18 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1487 | 1466 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), MiMo-V2-Omni: —
| Benchmark | GPT-6.1 Sol | MiMo-V2-Omni |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), MiMo-V2-Omni: 29.7 (#88)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1466 | 1445 |
| ARC-AGI-2 | 94.2% | — |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| 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-Omni: 39.1 (#115)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1464 | 1430 |
| 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-Omni: 40.5 (#118)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1502 | 1449 |
| GPQA Diamond | 95.4% | — |
| SimpleQA Verified | 73.9% | — |
Multimodal GPT-6.1 Sol leads
GPT-6.1 Sol: 52.7 (#5), MiMo-V2-Omni: 38.6 (#63)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | 1288 | 1228 |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), MiMo-V2-Omni: 51.8 (#102)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1438 | 1404 |
| LMArena Chinese | 1477 | 1465 |
| LMArena Russian | 1455 | 1412 |
| LMArena French | — | 1447 |
| LMArena German | — | 1399 |
| LMArena Japanese | — | 1317 |
| LMArena Korean | — | 1355 |
| LMArena Spanish | — | 1434 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), MiMo-V2-Omni: 75.2 (#66)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1468 | 1428 |
Long Context Too close to call
GPT-6.1 Sol: 44.9 (#54), MiMo-V2-Omni: 44.1 (#76)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1465 | 1442 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), MiMo-V2-Omni: 61.4 (#87)
| Benchmark | GPT-6.1 Sol | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1447 | 1423 |
| LMArena Creative Writing | 1432 | 1392 |
| LMArena Multi-Turn | 1449 | 1445 |
Frequently asked questions
Is GPT-6.1 Sol better than MiMo-V2-Omni?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 43.6 on the Noometry Index. MiMo-V2-Omni 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-Omni?
MiMo-V2-Omni 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-Omni better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 43.3 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-Omni share?
13 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and MiMo-V2-Omni has 18.