Model comparison
GPT-5-Codex vs MiMo-V2.6-Flash
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 37.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where MiMo-V2.6-Flash leads 53.4 to 42.4.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 400K.
- MiMo-V2.6-Flash has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | MiMo-V2.6-Flash | |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 37.9 | 48.5 |
| Released | 2025-09-15 | 2026-09-21 |
| Weights | Proprietary | Open |
| Context window | 400K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.25 | $0.14 |
| Output $ / M tokens | $10 | $0.28 |
| Results tracked | 3 | 19 |
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Category by category
Coding MiMo-V2.6-Flash leads
GPT-5-Codex: 42.4 (#103), MiMo-V2.6-Flash: 53.4 (#30)
| Benchmark | GPT-5-Codex | MiMo-V2.6-Flash |
|---|---|---|
| LMArena WebDev | — | 1637 |
| SciCode | — | 51.3% |
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1504 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), MiMo-V2.6-Flash: —
| Benchmark | GPT-5-Codex | MiMo-V2.6-Flash |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning MiMo-V2.6-Flash leads
GPT-5-Codex: 30.9 (#83), MiMo-V2.6-Flash: 36.5 (#66)
| Benchmark | GPT-5-Codex | MiMo-V2.6-Flash |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| CritPt | — | 12% |
| LMArena Hard Prompts | — | 1482 |
Math Not comparable
GPT-5-Codex: —, MiMo-V2.6-Flash: 51.9 (#52)
| Benchmark | GPT-5-Codex | MiMo-V2.6-Flash |
|---|---|---|
| ProofBench | — | 63% |
| LMArena Math | — | 1468 |
Knowledge Not comparable
GPT-5-Codex: —, MiMo-V2.6-Flash: 42.2 (#99)
| Benchmark | GPT-5-Codex | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | — | 1501 |
Multimodal Not comparable
GPT-5-Codex: —, MiMo-V2.6-Flash: 40.5 (#47)
| Benchmark | GPT-5-Codex | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | — | 1259 |
Multilingual Not comparable
GPT-5-Codex: —, MiMo-V2.6-Flash: 54.0 (#51)
| Benchmark | GPT-5-Codex | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | — | 1434 |
| LMArena Chinese | — | 1511 |
| LMArena French | — | 1475 |
| LMArena Russian | — | 1409 |
| LMArena Spanish | — | 1456 |
Instruction Following Not comparable
GPT-5-Codex: —, MiMo-V2.6-Flash: 76.8 (#35)
| Benchmark | GPT-5-Codex | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | — | 1463 |
Long Context Not comparable
GPT-5-Codex: —, MiMo-V2.6-Flash: 44.8 (#57)
| Benchmark | GPT-5-Codex | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | — | 1463 |
Writing & Preference Not comparable
GPT-5-Codex: —, MiMo-V2.6-Flash: 63.1 (#67)
| Benchmark | GPT-5-Codex | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | — | 1455 |
| LMArena Creative Writing | — | 1400 |
| LMArena Multi-Turn | — | 1451 |
Frequently asked questions
Is GPT-5-Codex better than MiMo-V2.6-Flash?
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 37.9 on the Noometry Index.
Which is cheaper, GPT-5-Codex or MiMo-V2.6-Flash?
MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is GPT-5-Codex or MiMo-V2.6-Flash better for coding?
MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Flash does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5-Codex and MiMo-V2.6-Flash share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and MiMo-V2.6-Flash has 19.