Model comparison
GPT-5.4 nano vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 41.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-5.4 nano scores higher in 4 categories and MiMo-V2-Pro in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.8 to 55.7.
- GPT-5.4 nano is cheaper at $0.20 / $1.25 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5.4 nano | MiMo-V2-Pro | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 41.9 | 43.0 |
| Released | 2026-03-17 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.20 | $0.43 |
| Output $ / M tokens | $1.25 | $0.87 |
| Results tracked | 40 | 23 |
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Category by category
Coding Too close to call
GPT-5.4 nano: 43.6 (#84), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | GPT-5.4 nano | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1405 | 1476 |
| ALE-Bench | 1,005 | 785.17 |
| LMArena WebDev | — | 1433 |
| SciCode | 46.9% | — |
| WeirdML | 49.2% | — |
Reasoning GPT-5.4 nano leads
GPT-5.4 nano: 23.7 (#173), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | GPT-5.4 nano | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1381 | 1457 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| NYT Connections (extended) | — | 25.8% |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| Thematic Generalization | — | 45.9% |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 36.9% | — |
| Epoch Capabilities Index | 145.81 | — |
| ForecastBench | 57.3 | — |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.9 (#88), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | GPT-5.4 nano | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1406 | 1447 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge Too close to call
GPT-5.4 nano: 41.9 (#103), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | GPT-5.4 nano | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1396 | 1478 |
| GPQA Diamond | 78.5% | — |
| SimpleQA Verified | 11.7% | — |
| Vectara Hallucination Rate | 3.1% | — |
Multimodal Not comparable
GPT-5.4 nano: 36.7 (#78), MiMo-V2-Pro: —
| Benchmark | GPT-5.4 nano | MiMo-V2-Pro |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual MiMo-V2-Pro leads
GPT-5.4 nano: 48.6 (#140), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | GPT-5.4 nano | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1359 | 1416 |
| LMArena Chinese | 1392 | 1456 |
| LMArena French | 1396 | 1469 |
| LMArena German | 1367 | 1417 |
| LMArena Japanese | 1343 | 1366 |
| LMArena Korean | 1320 | 1400 |
| LMArena Russian | 1363 | 1427 |
| LMArena Spanish | 1371 | 1457 |
Instruction Following MiMo-V2-Pro leads
GPT-5.4 nano: 71.9 (#144), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | GPT-5.4 nano | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1362 | 1445 |
Long Context Too close to call
GPT-5.4 nano: 41.6 (#137), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | GPT-5.4 nano | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1366 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference MiMo-V2-Pro leads
GPT-5.4 nano: 55.7 (#142), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | GPT-5.4 nano | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1372 | 1436 |
| LMArena Creative Writing | 1314 | 1415 |
| LMArena Multi-Turn | 1382 | 1456 |
Frequently asked questions
Is GPT-5.4 nano better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 41.9 on the Noometry Index.
Which is cheaper, GPT-5.4 nano or MiMo-V2-Pro?
GPT-5.4 nano is cheaper. It lists at $0.20 per million input tokens and $1.25 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Is GPT-5.4 nano or MiMo-V2-Pro better for coding?
They score almost the same on coding (43.6 vs 43.8); test both on your own repository before choosing.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5.4 nano and MiMo-V2-Pro share?
18 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and MiMo-V2-Pro has 23.