Model comparison
GPT-5.2 Codex vs MiMo-V2-Omni
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 42.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 Codex accepts more context: 400K tokens versus 262K.
Side by side
| GPT-5.2 Codex | MiMo-V2-Omni | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 42.6 | 43.6 |
| Released | 2025-12-18 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 262K |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.75 | $0.14 |
| Output $ / M tokens | $14 | $0.28 |
| Results tracked | 5 | 18 |
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Category by category
Coding GPT-5.2 Codex leads
GPT-5.2 Codex: 45.5 (#71), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Omni |
|---|---|---|
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1339 | — |
| SWE-bench Multilingual | 66.3% | — |
| LMArena Coding | — | 1466 |
| ALE-Bench | 1,300 | — |
Agentic & Tool Use Not comparable
GPT-5.2 Codex: 41.0 (#22), MiMo-V2-Omni: —
| Benchmark | GPT-5.2 Codex | MiMo-V2-Omni |
|---|---|---|
| Terminal-Bench | 66.5% | — |
Reasoning Not comparable
GPT-5.2 Codex: —, MiMo-V2-Omni: 29.7 (#88)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | — | 1445 |
Math Not comparable
GPT-5.2 Codex: —, MiMo-V2-Omni: 39.1 (#115)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | — | 1430 |
Knowledge Not comparable
GPT-5.2 Codex: —, MiMo-V2-Omni: 40.5 (#118)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | — | 1449 |
Multimodal Not comparable
GPT-5.2 Codex: —, MiMo-V2-Omni: 38.6 (#63)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |
Multilingual Not comparable
GPT-5.2 Codex: —, MiMo-V2-Omni: 51.8 (#102)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | — | 1404 |
| LMArena Chinese | — | 1465 |
| LMArena French | — | 1447 |
| LMArena German | — | 1399 |
| LMArena Japanese | — | 1317 |
| LMArena Korean | — | 1355 |
| LMArena Russian | — | 1412 |
| LMArena Spanish | — | 1434 |
Instruction Following Not comparable
GPT-5.2 Codex: —, MiMo-V2-Omni: 75.2 (#66)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | — | 1428 |
Long Context Not comparable
GPT-5.2 Codex: —, MiMo-V2-Omni: 44.1 (#76)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | — | 1442 |
Writing & Preference Not comparable
GPT-5.2 Codex: —, MiMo-V2-Omni: 61.4 (#87)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | — | 1423 |
| LMArena Creative Writing | — | 1392 |
| LMArena Multi-Turn | — | 1445 |
Frequently asked questions
Is GPT-5.2 Codex better than MiMo-V2-Omni?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 42.6 on the Noometry Index.
Which is cheaper, GPT-5.2 Codex 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-5.2 Codex lists at $1.75 and $14.
Is GPT-5.2 Codex or MiMo-V2-Omni better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 43.3 in the Noometry coding category.
Which has the bigger context window?
GPT-5.2 Codex does, with 400K tokens against 262K.
How many benchmarks do GPT-5.2 Codex and MiMo-V2-Omni share?
0 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and MiMo-V2-Omni has 18.