Model comparison
GPT-5-Codex vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 37.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 22.1.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5-Codex | MiMo-V2-Pro | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 37.9 | 43.0 |
| Released | 2025-09-15 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.25 | $0.43 |
| Output $ / M tokens | $10 | $0.87 |
| Results tracked | 3 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
GPT-5-Codex: 42.4 (#103), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | — | 1433 |
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1476 |
| ALE-Bench | — | 785.17 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), MiMo-V2-Pro: —
| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
| LMArena Hard Prompts | — | 1457 |
Math Not comparable
GPT-5-Codex: —, MiMo-V2-Pro: 39.5 (#102)
| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | — | 1447 |
Knowledge Not comparable
GPT-5-Codex: —, MiMo-V2-Pro: 41.4 (#111)
| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | — | 1478 |
Multilingual Not comparable
GPT-5-Codex: —, MiMo-V2-Pro: 52.7 (#81)
| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | — | 1416 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Russian | — | 1427 |
| LMArena Spanish | — | 1457 |
Instruction Following Not comparable
GPT-5-Codex: —, MiMo-V2-Pro: 76.0 (#49)
| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1445 |
Long Context Not comparable
GPT-5-Codex: —, MiMo-V2-Pro: 41.5 (#138)
| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
| LMArena Longer Query | — | 1455 |
Writing & Preference Not comparable
GPT-5-Codex: —, MiMo-V2-Pro: 62.8 (#70)
| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | — | 1436 |
| LMArena Creative Writing | — | 1415 |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is GPT-5-Codex better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 37.9 on the Noometry Index.
Which is cheaper, GPT-5-Codex 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-Codex lists at $1.25 and $10.
Is GPT-5-Codex or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5-Codex and MiMo-V2-Pro share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and MiMo-V2-Pro has 23.