Model comparison
GPT-5.4 mini vs MiMo-V2.5-Pro
GPT-5.4 mini and MiMo-V2.5-Pro score almost the same on the Noometry Index (45.0 vs 45.2), so choose on price, context window or the category you care about most.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. GPT-5.4 mini scores higher in 3 categories and MiMo-V2.5-Pro in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.5 to 42.2.
- The biggest single-benchmark swing is NYT Connections (extended): 61.8% for GPT-5.4 mini and 34.4% for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.75 / $4.50 for GPT-5.4 mini.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 400K.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 mini | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 45.0 | 45.2 |
| Released | 2026-03-17 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | 400K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.75 | $0.43 |
| Output $ / M tokens | $4.50 | $0.87 |
| Results tracked | 46 | 27 |
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Category by category
Coding MiMo-V2.5-Pro leads
GPT-5.4 mini: 45.2 (#72), MiMo-V2.5-Pro: 47.4 (#60)
| Benchmark | GPT-5.4 mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1397 | 1479 |
| SciCode | 49.9% | 50.2% |
| LMArena Coding | 1438 | 1503 |
| ALE-Bench | 1,189 | 899.8 |
| FrontierCode | 27% | — |
| WeirdML | 60.3% | — |
Agentic & Tool Use Not comparable
GPT-5.4 mini: 29.9 (#81), MiMo-V2.5-Pro: —
| Benchmark | GPT-5.4 mini | MiMo-V2.5-Pro |
|---|---|---|
| DeepResearch Bench | 36.3% | — |
Reasoning GPT-5.4 mini leads
GPT-5.4 mini: 30.4 (#85), MiMo-V2.5-Pro: 26.8 (#130)
| Benchmark | GPT-5.4 mini | MiMo-V2.5-Pro |
|---|---|---|
| NYT Connections (extended) | 61.8% | 34.4% |
| CritPt | 10% | 4% |
| LMArena Hard Prompts | 1424 | 1488 |
| DTBench | 80% | 84.5% |
| LMCA | 40.8% | 29.5% |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| ARC-AGI-1 | 63.7% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| Epoch Capabilities Index | 148.84 | — |
| ForecastBench | 57 | — |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.5 (#75), MiMo-V2.5-Pro: 40.0 (#96)
| Benchmark | GPT-5.4 mini | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | 21% | 22% |
| LMArena Math | 1419 | 1481 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-5.4 mini leads
GPT-5.4 mini: 51.5 (#67), MiMo-V2.5-Pro: 42.2 (#98)
| Benchmark | GPT-5.4 mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1435 | 1503 |
| GPQA Diamond | 86.9% | — |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |
Multimodal Not comparable
GPT-5.4 mini: 39.7 (#56), MiMo-V2.5-Pro: —
| Benchmark | GPT-5.4 mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual MiMo-V2.5-Pro leads
GPT-5.4 mini: 51.9 (#96), MiMo-V2.5-Pro: 55.1 (#34)
| Benchmark | GPT-5.4 mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1405 | 1449 |
| LMArena Chinese | 1446 | 1507 |
| LMArena French | 1440 | 1488 |
| LMArena German | 1409 | 1458 |
| LMArena Japanese | 1374 | 1412 |
| LMArena Korean | 1368 | 1437 |
| LMArena Russian | 1417 | 1450 |
| LMArena Spanish | 1405 | 1471 |
Instruction Following MiMo-V2.5-Pro leads
GPT-5.4 mini: 74.1 (#102), MiMo-V2.5-Pro: 77.5 (#21)
| Benchmark | GPT-5.4 mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1405 | 1477 |
Long Context MiMo-V2.5-Pro leads
GPT-5.4 mini: 43.0 (#112), MiMo-V2.5-Pro: 45.4 (#37)
| Benchmark | GPT-5.4 mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1407 | 1483 |
Writing & Preference MiMo-V2.5-Pro leads
GPT-5.4 mini: 64.0 (#58), MiMo-V2.5-Pro: 65.3 (#49)
| Benchmark | GPT-5.4 mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1412 | 1465 |
| LMArena Creative Writing | 1370 | 1440 |
| EQ-Bench Creative Writing | 1665 | 1493 |
| LMArena Multi-Turn | 1429 | 1477 |
| EQ-Bench 4 | — | 1208 |
Frequently asked questions
Is GPT-5.4 mini better than MiMo-V2.5-Pro?
GPT-5.4 mini and MiMo-V2.5-Pro score almost the same on the Noometry Index (45.0 vs 45.2), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.4 mini or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GPT-5.4 mini lists at $0.75 and $4.50.
Is GPT-5.4 mini or MiMo-V2.5-Pro better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 45.2 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5.4 mini and MiMo-V2.5-Pro share?
26 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and MiMo-V2.5-Pro has 27.