# GPT-5.6 Terra vs MiMo-V2.5-Pro

> GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 45.2 on the Noometry Index. MiMo-V2.5-Pro costs 8.3× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-6-terra-vs-mimo-v2-5-pro
- Last updated: 2026-10-12
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. GPT-5.6 Terra scores higher in 5 categories and MiMo-V2.5-Pro in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 40.0.
- The biggest single-benchmark swing is ProofBench: 74% for GPT-5.6 Terra and 22% for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $2 / $12 for GPT-5.6 Terra.
- GPT-5.6 Terra accepts more context: 1.05M tokens versus 1.05M.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.6 Terra | MiMo-V2.5-Pro |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 59.2 | 45.2 |
| Rank | 17 | 74 |
| Context | 1.05M | 1.05M |
| Input $/M | $2 | $0.43 |
| Output $/M | $12 | $0.87 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.6 Terra: 57.7 (#19)
- MiMo-V2.5-Pro: 47.4 (#60)

| Benchmark | GPT-5.6 Terra | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1522 | 1479 |
| SciCode | 55% | 50.2% |
| LMArena Coding | 1484 | 1503 |
| ALE-Bench | 1,951 | 899.8 |
| DeepSWE | 69.6% | — |
| FrontierCode | 41.3% | — |
| CursorBench | 41.3% | — |
| WeirdML | 78.3% | — |

## Agentic & Tool Use

- GPT-5.6 Terra: 40.1 (#25)
- MiMo-V2.5-Pro: —

| Benchmark | GPT-5.6 Terra | MiMo-V2.5-Pro |
|---|---|---|
| APEX-Agents | 58.2% | — |
| BALROG | 53.2% | — |
| GDP.pdf | 24.7% | — |
| Vending-Bench 2 | 7,343 | — |

## Reasoning

- GPT-5.6 Terra: 60.7 (#21)
- MiMo-V2.5-Pro: 26.8 (#130)

| Benchmark | GPT-5.6 Terra | MiMo-V2.5-Pro |
|---|---|---|
| NYT Connections (extended) | 78.4% | 34.4% |
| CritPt | 30% | 4% |
| LMArena Hard Prompts | 1468 | 1488 |
| DTBench | 93.3% | 84.5% |
| LMCA | 55% | 29.5% |
| ARC-AGI-2 | 83.9% | — |
| SimpleBench | 48.9% | — |
| Kagi LLM Benchmark | 51.3% | — |
| ARC-AGI-1 | 96.5% | — |
| Chess Puzzles | 54% | — |
| Mystery Game Puzzles | 35% | — |
| Surface Evolver Bench | 83.8% | — |
| Epoch Capabilities Index | 159.62 | — |

## Math

- GPT-5.6 Terra: 81.6 (#12)
- MiMo-V2.5-Pro: 40.0 (#96)

| Benchmark | GPT-5.6 Terra | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | 74% | 22% |
| LMArena Math | 1466 | 1481 |
| FrontierMath (Tiers 1-3) | 86% | — |
| FrontierMath Tier 4 | 70.7% | — |
| OTIS Mock AIME 2024-2025 | 99.7% | — |

## Knowledge

- GPT-5.6 Terra: 61.2 (#30)
- MiMo-V2.5-Pro: 42.2 (#98)

| Benchmark | GPT-5.6 Terra | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1492 | 1503 |
| GPQA Diamond | 93.3% | — |
| SimpleQA Verified | 43.2% | — |

## Multimodal

- GPT-5.6 Terra: 47.3 (#11)
- MiMo-V2.5-Pro: —

| Benchmark | GPT-5.6 Terra | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1271 | — |
| Blueprint-Bench 2 | 30.8% | — |
| Furniture Assembly | 54.2% | — |
| LMArena Document | 1472 | — |

## Multilingual

- GPT-5.6 Terra: 54.4 (#44)
- MiMo-V2.5-Pro: 55.1 (#34)

| Benchmark | GPT-5.6 Terra | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1439 | 1449 |
| LMArena Chinese | 1513 | 1507 |
| LMArena French | 1471 | 1488 |
| LMArena German | 1460 | 1458 |
| LMArena Japanese | 1457 | 1412 |
| LMArena Korean | 1425 | 1437 |
| LMArena Russian | 1450 | 1450 |
| LMArena Spanish | 1448 | 1471 |

## Instruction Following

- GPT-5.6 Terra: 76.4 (#40)
- MiMo-V2.5-Pro: 77.5 (#21)

| Benchmark | GPT-5.6 Terra | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1454 | 1477 |

## Long Context

- GPT-5.6 Terra: 44.4 (#68)
- MiMo-V2.5-Pro: 45.4 (#37)

| Benchmark | GPT-5.6 Terra | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1451 | 1483 |

## Writing & Preference

- GPT-5.6 Terra: 70.2 (#23)
- MiMo-V2.5-Pro: 65.3 (#49)

| Benchmark | GPT-5.6 Terra | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1447 | 1465 |
| LMArena Creative Writing | 1410 | 1440 |
| EQ-Bench Creative Writing | 1855 | 1493 |
| EQ-Bench 4 | 1234 | 1208 |
| LMArena Multi-Turn | 1449 | 1477 |

## FAQ

### Is GPT-5.6 Terra better than MiMo-V2.5-Pro?

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 45.2 on the Noometry Index. MiMo-V2.5-Pro costs 8.3× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.6 Terra or MiMo-V2.5-Pro?

MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GPT-5.6 Terra lists at $2 and $12.

### Is GPT-5.6 Terra or MiMo-V2.5-Pro better for coding?

GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 47.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.6 Terra does, with 1.05M tokens against 1.05M.

### How many benchmarks do GPT-5.6 Terra and MiMo-V2.5-Pro share?

27 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and MiMo-V2.5-Pro has 27.