Model comparison
GPT-4 vs MiMo-V2.6-Pro
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 29.1 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. GPT-4 scores higher in 0 categories and MiMo-V2.6-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.6-Pro leads 54.5 to 10.8.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $30 / $60 for GPT-4.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 8K.
- MiMo-V2.6-Pro has downloadable open weights; the other is API-only.
Side by side
| GPT-4 | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 29.1 | 50.3 |
| Released | 2023-03-14 | 2026-09-21 |
| Weights | Proprietary | Open |
| Context window | 8K | 1.05M |
| Max output | 8K | 131K |
| Input $ / M tokens | $30 | $0.43 |
| Output $ / M tokens | $60 | $0.87 |
| Results tracked | 38 | 19 |
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Category by category
Coding MiMo-V2.6-Pro leads
GPT-4: 31.6 (#283), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | GPT-4 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1254 | 1534 |
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| WeirdML | 12.4% | — |
| BigCodeBench Instruct | 46% | — |
| BigCodeBench Complete | 57.2% | — |
| ALE-Bench | — | 1,158 |
| HumanEval+ | 79.3% | — |
Agentic & Tool Use Not comparable
GPT-4: —, MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | GPT-4 | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |
| METR Time Horizons | 36.1% | — |
Reasoning MiMo-V2.6-Pro leads
GPT-4: 17.8 (#289), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | GPT-4 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1512 |
| CritPt | — | 26.6% |
| Chess Puzzles | 4% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 62.7% | — |
| LMCA | 17.1% | — |
| BIG-Bench Hard | 75.1% | — |
| Epoch Capabilities Index | 125.89 | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |
Math MiMo-V2.6-Pro leads
GPT-4: 10.8 (#309), MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | GPT-4 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1269 | 1494 |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| ProofBench | — | 70% |
| MATH Level 5 | 23% | — |
| GSM8K | 92% | — |
Knowledge MiMo-V2.6-Pro leads
GPT-4: 18.4 (#282), MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | GPT-4 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1211 | 1543 |
| GPQA Diamond | 35.7% | — |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |
Multimodal Not comparable
GPT-4: —, MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | GPT-4 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1264 |
Multilingual MiMo-V2.6-Pro leads
GPT-4: 40.6 (#215), MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | GPT-4 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1246 | 1474 |
| LMArena Chinese | 1242 | 1529 |
| LMArena Russian | 1251 | 1480 |
| LMArena French | 1283 | — |
| LMArena German | 1251 | — |
| LMArena Japanese | 1209 | — |
| LMArena Korean | 1184 | — |
| LMArena Spanish | 1261 | — |
Instruction Following MiMo-V2.6-Pro leads
GPT-4: 65.3 (#222), MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | GPT-4 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1241 | 1493 |
Long Context MiMo-V2.6-Pro leads
GPT-4: 37.7 (#212), MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | GPT-4 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1244 | 1501 |
Writing & Preference MiMo-V2.6-Pro leads
GPT-4: 34.9 (#268), MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | GPT-4 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1263 | 1492 |
| LMArena Creative Writing | 1244 | 1468 |
| LMArena Multi-Turn | 1257 | 1464 |
| EQ-Bench Creative Writing | 752 | — |
Frequently asked questions
Is GPT-4 better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 29.1 on the Noometry Index.
Which is cheaper, GPT-4 or MiMo-V2.6-Pro?
MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GPT-4 lists at $30 and $60.
Is GPT-4 or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 31.6 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 8K.
How many benchmarks do GPT-4 and MiMo-V2.6-Pro share?
12 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and MiMo-V2.6-Pro has 19.