Model comparison
GPT-5.3 Codex vs MiMo-V2-Pro
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 8.9× less per token, which makes it the better buy when GPT-5.3 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-5.3 Codex scores higher in 1 category and MiMo-V2-Pro in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 43.8.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5.3 Codex | MiMo-V2-Pro | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 45.8 | 43.0 |
| Released | 2026-02-05 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.75 | $0.43 |
| Output $ / M tokens | $14 | $0.87 |
| Results tracked | 8 | 23 |
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Category by category
Coding GPT-5.3 Codex leads
GPT-5.3 Codex: 48.6 (#56), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | GPT-5.3 Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | 1409 | 1433 |
| ALE-Bench | 1,655 | 785.17 |
| SWE-bench Verified | 74.8% | — |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1476 |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 48.0 (#9), MiMo-V2-Pro: —
| Benchmark | GPT-5.3 Codex | MiMo-V2-Pro |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, MiMo-V2-Pro: 22.1 (#206)
| Benchmark | GPT-5.3 Codex | MiMo-V2-Pro |
|---|---|---|
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
| LMArena Hard Prompts | — | 1457 |
| Epoch Capabilities Index | 156.77 | — |
Math Not comparable
GPT-5.3 Codex: —, MiMo-V2-Pro: 39.5 (#102)
| Benchmark | GPT-5.3 Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | — | 1447 |
Knowledge Not comparable
GPT-5.3 Codex: —, MiMo-V2-Pro: 41.4 (#111)
| Benchmark | GPT-5.3 Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | — | 1478 |
Multilingual Not comparable
GPT-5.3 Codex: —, MiMo-V2-Pro: 52.7 (#81)
| Benchmark | GPT-5.3 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-5.3 Codex: —, MiMo-V2-Pro: 76.0 (#49)
| Benchmark | GPT-5.3 Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1445 |
Long Context Not comparable
GPT-5.3 Codex: —, MiMo-V2-Pro: 41.5 (#138)
| Benchmark | GPT-5.3 Codex | MiMo-V2-Pro |
|---|---|---|
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
| LMArena Longer Query | — | 1455 |
Writing & Preference Not comparable
GPT-5.3 Codex: —, MiMo-V2-Pro: 62.8 (#70)
| Benchmark | GPT-5.3 Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | — | 1436 |
| LMArena Creative Writing | — | 1415 |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is GPT-5.3 Codex better than MiMo-V2-Pro?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 8.9× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.3 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-5.3 Codex lists at $1.75 and $14.
Is GPT-5.3 Codex or MiMo-V2-Pro better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 43.8 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-5.3 Codex and MiMo-V2-Pro share?
2 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and MiMo-V2-Pro has 23.