Model comparison
GPT-5.2 Codex vs MiMo-V2-Flash
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 27× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. GPT-5.2 Codex scores higher in 1 category and MiMo-V2-Flash in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 36.1.
- MiMo-V2-Flash 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.
- MiMo-V2-Flash has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Codex | MiMo-V2-Flash | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 42.6 | 41.3 |
| Released | 2025-12-18 | 2025-12-16 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $1.75 | $0.14 |
| Output $ / M tokens | $14 | $0.28 |
| Results tracked | 5 | 21 |
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Category by category
Coding GPT-5.2 Codex leads
GPT-5.2 Codex: 45.5 (#71), MiMo-V2-Flash: 36.1 (#211)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Flash |
|---|---|---|
| LMArena WebDev | 1339 | 1330 |
| ALE-Bench | 1,300 | 737.95 |
| SWE-bench Verified (bash only) | 72.8% | — |
| SWE-bench Multilingual | 66.3% | — |
| SciCode | — | 25.9% |
| LMArena Coding | — | 1443 |
Agentic & Tool Use Not comparable
GPT-5.2 Codex: 41.0 (#22), MiMo-V2-Flash: —
| Benchmark | GPT-5.2 Codex | MiMo-V2-Flash |
|---|---|---|
| Terminal-Bench | 66.5% | — |
Reasoning Not comparable
GPT-5.2 Codex: —, MiMo-V2-Flash: 24.9 (#157)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Flash |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | — | 1420 |
Math Not comparable
GPT-5.2 Codex: —, MiMo-V2-Flash: 38.3 (#139)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | — | 1396 |
Knowledge Not comparable
GPT-5.2 Codex: —, MiMo-V2-Flash: 39.7 (#131)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | — | 1425 |
Multilingual Not comparable
GPT-5.2 Codex: —, MiMo-V2-Flash: 51.0 (#113)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | — | 1392 |
| LMArena Chinese | — | 1462 |
| LMArena French | — | 1429 |
| LMArena German | — | 1395 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1358 |
| LMArena Russian | — | 1387 |
| LMArena Spanish | — | 1420 |
Instruction Following Not comparable
GPT-5.2 Codex: —, MiMo-V2-Flash: 73.5 (#120)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | — | 1392 |
Long Context Not comparable
GPT-5.2 Codex: —, MiMo-V2-Flash: 43.0 (#110)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | — | 1409 |
Writing & Preference Not comparable
GPT-5.2 Codex: —, MiMo-V2-Flash: 59.7 (#106)
| Benchmark | GPT-5.2 Codex | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | — | 1411 |
| LMArena Creative Writing | — | 1375 |
| LMArena Multi-Turn | — | 1404 |
Frequently asked questions
Is GPT-5.2 Codex better than MiMo-V2-Flash?
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 27× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 Codex or MiMo-V2-Flash?
MiMo-V2-Flash 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-Flash better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 36.1 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-Flash share?
2 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and MiMo-V2-Flash has 21.