Model comparison
GPT-5.2 Pro vs MiMo-V2-Pro
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 106× less per token, which makes it the better buy when GPT-5.2 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-5.2 Pro scores higher in 2 categories and MiMo-V2-Pro in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.2 Pro leads 51.5 to 22.1.
- The biggest single-benchmark swing is NYT Connections (extended): 79.3% for GPT-5.2 Pro and 25.8% for MiMo-V2-Pro.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5.2 Pro | MiMo-V2-Pro | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 52.3 | 43.0 |
| Released | 2025-12-11 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $21 | $0.43 |
| Output $ / M tokens | $168 | $0.87 |
| Results tracked | 8 | 23 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, MiMo-V2-Pro: 43.8 (#83)
| Benchmark | GPT-5.2 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | — | 1433 |
| LMArena Coding | — | 1476 |
| ALE-Bench | — | 785.17 |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | GPT-5.2 Pro | MiMo-V2-Pro |
|---|---|---|
| NYT Connections (extended) | 79.3% | 25.8% |
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| ARC-AGI-1 | 90.5% | — |
| Thematic Generalization | — | 45.9% |
| LMArena Hard Prompts | — | 1457 |
| Epoch Capabilities Index | 155.4 | — |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 65.3 (#29), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | GPT-5.2 Pro | MiMo-V2-Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| LMArena Math | — | 1447 |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, MiMo-V2-Pro: 41.4 (#111)
| Benchmark | GPT-5.2 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | — | 1478 |
Multilingual Not comparable
GPT-5.2 Pro: —, MiMo-V2-Pro: 52.7 (#81)
| Benchmark | GPT-5.2 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | — | 1416 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Russian | — | 1427 |
| LMArena Spanish | — | 1457 |
Instruction Following Not comparable
GPT-5.2 Pro: —, MiMo-V2-Pro: 76.0 (#49)
| Benchmark | GPT-5.2 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1445 |
Long Context Not comparable
GPT-5.2 Pro: —, MiMo-V2-Pro: 41.5 (#138)
| Benchmark | GPT-5.2 Pro | MiMo-V2-Pro |
|---|---|---|
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
| LMArena Longer Query | — | 1455 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, MiMo-V2-Pro: 62.8 (#70)
| Benchmark | GPT-5.2 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | — | 1436 |
| LMArena Creative Writing | — | 1415 |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is GPT-5.2 Pro better than MiMo-V2-Pro?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 106× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 Pro or MiMo-V2-Pro?
MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5.2 Pro and MiMo-V2-Pro share?
1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and MiMo-V2-Pro has 23.