# GPT-5 Nano vs MiMo-V2.6-Pro

> MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 33.4 on the Noometry Index. GPT-5 Nano costs 4.0× less per token, which makes it the better buy when MiMo-V2.6-Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-nano-vs-mimo-v2-6-pro
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GPT-5 Nano scores higher in 0 categories and MiMo-V2.6-Pro in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.6-Pro leads 66.9 to 39.4.
- GPT-5 Nano is cheaper at $0.05 / $0.40 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.6-Pro.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 400K.
- MiMo-V2.6-Pro has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5 Nano | MiMo-V2.6-Pro |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 33.4 | 46.7 |
| Rank | 234 | 55 |
| Context | 400K | 1.05M |
| Input $/M | $0.05 | $0.43 |
| Output $/M | $0.40 | $0.87 |
| Weights | Proprietary | Open |

## Coding

- GPT-5 Nano: 33.3 (#248)
- MiMo-V2.6-Pro: 53.2 (#27)

| Benchmark | GPT-5 Nano | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1351 | 1538 |
| SWE-bench Verified (bash only) | 34.8% | — |
| LMArena WebDev | — | 1618 |
| WeirdML | 38.1% | — |
| ALE-Bench | 718.67 | — |

## Agentic & Tool Use

- GPT-5 Nano: 25.6 (#99)
- MiMo-V2.6-Pro: —

| Benchmark | GPT-5 Nano | MiMo-V2.6-Pro |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |

## Reasoning

- GPT-5 Nano: 16.4 (#291)
- MiMo-V2.6-Pro: 30.4 (#76)

| Benchmark | GPT-5 Nano | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1329 | 1511 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| ARC-AGI-1 | 20.7% | — |
| Chess Puzzles | 27% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| Epoch Capabilities Index | 139.39 | — |
| ForecastBench | 59.1 | — |

## Math

- GPT-5 Nano: 29.1 (#221)
- MiMo-V2.6-Pro: 37.9 (#91)

| Benchmark | GPT-5 Nano | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1318 | 1497 |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 81.1% | — |
| ProofBench | 12% | — |
| Omni-MATH | 54.6% | — |
| MATH Level 5 | 95.2% | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GPT-5 Nano: 35.8 (#166)
- MiMo-V2.6-Pro: 43.0 (#85)

| Benchmark | GPT-5 Nano | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1321 | 1548 |
| GPQA Diamond | 69.4% | — |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| Vectara Hallucination Rate | 10.5% | — |
| GPQA (HELM) | 67.9% | — |

## Multimodal

- GPT-5 Nano: 30.7 (#102)
- MiMo-V2.6-Pro: 40.2 (#40)

| Benchmark | GPT-5 Nano | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | 1159 | 1265 |
| VPCT | 37.2% | — |

## Multilingual

- GPT-5 Nano: 45.5 (#167)
- MiMo-V2.6-Pro: 57.0 (#15)

| Benchmark | GPT-5 Nano | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1313 | 1474 |
| LMArena Chinese | 1355 | 1532 |
| LMArena Russian | 1296 | 1481 |
| LMArena German | 1329 | — |
| LMArena Korean | 1269 | — |
| LMArena Spanish | 1360 | — |

## Instruction Following

- GPT-5 Nano: 75.2 (#72)
- MiMo-V2.6-Pro: 78.2 (#10)

| Benchmark | GPT-5 Nano | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1306 | 1490 |
| IFEval | 93.2% | — |

## Long Context

- GPT-5 Nano: 31.3 (#275)
- MiMo-V2.6-Pro: 46.0 (#26)

| Benchmark | GPT-5 Nano | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1313 | 1500 |
| Fiction.LiveBench | 44.4% | — |

## Writing & Preference

- GPT-5 Nano: 39.4 (#244)
- MiMo-V2.6-Pro: 66.9 (#32)

| Benchmark | GPT-5 Nano | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1320 | 1491 |
| LMArena Creative Writing | 1250 | 1465 |
| LMArena Multi-Turn | 1311 | 1463 |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |

## FAQ

### Is GPT-5 Nano better than MiMo-V2.6-Pro?

MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 33.4 on the Noometry Index. GPT-5 Nano costs 4.0× less per token, which makes it the better buy when MiMo-V2.6-Pro's lead doesn't matter for your workload.

### Which is cheaper, GPT-5 Nano or MiMo-V2.6-Pro?

GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; MiMo-V2.6-Pro lists at $0.43 and $0.87.

### Is GPT-5 Nano or MiMo-V2.6-Pro better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 53.2 versus 33.3 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 400K.

### How many benchmarks do GPT-5 Nano and MiMo-V2.6-Pro share?

13 benchmarks have published results for both models. GPT-5 Nano has 48 scored results on Noometry and MiMo-V2.6-Pro has 14.