Model comparison
GPT-5.3 Chat vs MiMo-V2-Pro
GPT-5.3 Chat and MiMo-V2-Pro score almost the same on the Noometry Index (42.8 vs 43.0), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 3 categories and MiMo-V2-Pro in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.3 Chat leads 28.5 to 22.1.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 128K.
Side by side
| GPT-5.3 Chat | MiMo-V2-Pro | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 42.8 | 43.0 |
| Released | 2026-03-03 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 16K | 131K |
| Input $ / M tokens | $1.75 | $0.43 |
| Output $ / M tokens | $14 | $0.87 |
| Results tracked | 18 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
GPT-5.3 Chat: 41.4 (#124), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1408 | 1476 |
| LMArena WebDev | — | 1433 |
| ALE-Bench | — | 785.17 |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
Math MiMo-V2-Pro leads
GPT-5.3 Chat: 38.2 (#142), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1389 | 1447 |
Knowledge MiMo-V2-Pro leads
GPT-5.3 Chat: 38.8 (#140), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1397 | 1478 |
Multilingual MiMo-V2-Pro leads
GPT-5.3 Chat: 50.3 (#124), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1382 | 1416 |
| LMArena Chinese | 1432 | 1456 |
| LMArena French | 1397 | 1469 |
| LMArena German | 1384 | 1417 |
| LMArena Japanese | 1352 | 1366 |
| LMArena Korean | 1346 | 1400 |
| LMArena Russian | 1400 | 1427 |
| LMArena Spanish | 1371 | 1457 |
Instruction Following MiMo-V2-Pro leads
GPT-5.3 Chat: 72.8 (#129), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1378 | 1445 |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#120), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1396 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference Too close to call
GPT-5.3 Chat: 63.1 (#68), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1389 | 1436 |
| LMArena Creative Writing | 1355 | 1415 |
| LMArena Multi-Turn | 1412 | 1456 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than MiMo-V2-Pro?
GPT-5.3 Chat and MiMo-V2-Pro score almost the same on the Noometry Index (42.8 vs 43.0), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.3 Chat 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-5.3 Chat lists at $1.75 and $14.
Is GPT-5.3 Chat or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 128K.
How many benchmarks do GPT-5.3 Chat and MiMo-V2-Pro share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and MiMo-V2-Pro has 23.