Model comparison
GPT-5.3 Chat vs MiMo-V2-Omni
GPT-5.3 Chat and MiMo-V2-Omni score almost the same on the Noometry Index (42.8 vs 43.6), 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 1 category and MiMo-V2-Omni in 7 categories; 7 gaps are clear of the uncertainty.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- MiMo-V2-Omni accepts more context: 262K tokens versus 128K.
Side by side
| GPT-5.3 Chat | MiMo-V2-Omni | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 42.8 | 43.6 |
| Released | 2026-03-03 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 262K |
| Max output | 16K | 131K |
| Input $ / M tokens | $1.75 | $0.14 |
| Output $ / M tokens | $14 | $0.28 |
| Results tracked | 18 | 18 |
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Category by category
Coding MiMo-V2-Omni leads
GPT-5.3 Chat: 41.4 (#124), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1408 | 1466 |
Reasoning MiMo-V2-Omni leads
GPT-5.3 Chat: 28.5 (#102), MiMo-V2-Omni: 29.7 (#88)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1445 |
Math Too close to call
GPT-5.3 Chat: 38.2 (#142), MiMo-V2-Omni: 39.1 (#115)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1389 | 1430 |
Knowledge MiMo-V2-Omni leads
GPT-5.3 Chat: 38.8 (#140), MiMo-V2-Omni: 40.5 (#118)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1397 | 1449 |
Multimodal Not comparable
GPT-5.3 Chat: —, MiMo-V2-Omni: 38.6 (#63)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |
Multilingual MiMo-V2-Omni leads
GPT-5.3 Chat: 50.3 (#124), MiMo-V2-Omni: 51.8 (#102)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1382 | 1404 |
| LMArena Chinese | 1432 | 1465 |
| LMArena French | 1397 | 1447 |
| LMArena German | 1384 | 1399 |
| LMArena Japanese | 1352 | 1317 |
| LMArena Korean | 1346 | 1355 |
| LMArena Russian | 1400 | 1412 |
| LMArena Spanish | 1371 | 1434 |
Instruction Following MiMo-V2-Omni leads
GPT-5.3 Chat: 72.8 (#129), MiMo-V2-Omni: 75.2 (#66)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1378 | 1428 |
Long Context MiMo-V2-Omni leads
GPT-5.3 Chat: 42.6 (#120), MiMo-V2-Omni: 44.1 (#76)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1396 | 1442 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), MiMo-V2-Omni: 61.4 (#87)
| Benchmark | GPT-5.3 Chat | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1389 | 1423 |
| LMArena Creative Writing | 1355 | 1392 |
| LMArena Multi-Turn | 1412 | 1445 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than MiMo-V2-Omni?
GPT-5.3 Chat and MiMo-V2-Omni score almost the same on the Noometry Index (42.8 vs 43.6), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.3 Chat or MiMo-V2-Omni?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is GPT-5.3 Chat or MiMo-V2-Omni better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 128K.
How many benchmarks do GPT-5.3 Chat and MiMo-V2-Omni share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and MiMo-V2-Omni has 18.