# GPT-5.6 Terra vs Kimi K2.7 Code

> GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 2.6× 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-kimi-k2-7-code
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GPT-5.6 Terra scores higher in 5 categories and Kimi K2.7 Code in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 52.9.
- The biggest single-benchmark swing is FrontierMath Tier 4: 70.7% for GPT-5.6 Terra and 12.2% for Kimi K2.7 Code.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $2 / $12 for GPT-5.6 Terra.
- GPT-5.6 Terra accepts more context: 1.05M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.6 Terra | Kimi K2.7 Code |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 59.2 | 43.3 |
| Rank | 17 | 94 |
| Context | 1.05M | 262K |
| Input $/M | $2 | $0.95 |
| Output $/M | $12 | $4 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.6 Terra: 57.7 (#19)
- Kimi K2.7 Code: 42.9 (#95)

| Benchmark | GPT-5.6 Terra | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | 69.6% | 30.5% |
| FrontierCode | 41.3% | 30.1% |
| LMArena WebDev | 1522 | 1473 |
| SciCode | 55% | 47.5% |
| WeirdML | 78.3% | 54.1% |
| ALE-Bench | 1,951 | 886.23 |
| CursorBench | 41.3% | — |
| LMArena Coding | 1484 | — |

## Agentic & Tool Use

- GPT-5.6 Terra: 40.1 (#25)
- Kimi K2.7 Code: 24.0 (#122)

| Benchmark | GPT-5.6 Terra | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | 58.2% | 37.6% |
| Vending-Bench 2 | 7,343 | 5,083 |
| BALROG | 53.2% | — |
| GBAEval | — | 0.9% |
| GDP.pdf | 24.7% | — |

## Reasoning

- GPT-5.6 Terra: 60.7 (#21)
- Kimi K2.7 Code: 39.0 (#61)

| Benchmark | GPT-5.6 Terra | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 48.9% | 57.9% |
| CritPt | 30% | 10% |
| Chess Puzzles | 54% | 21% |
| Surface Evolver Bench | 83.8% | 48.8% |
| Epoch Capabilities Index | 159.62 | 149.97 |
| ARC-AGI-2 | 83.9% | — |
| Kagi LLM Benchmark | 51.3% | — |
| NYT Connections (extended) | 78.4% | — |
| ARC-AGI-1 | 96.5% | — |
| LMArena Hard Prompts | 1468 | — |
| Mystery Game Puzzles | 35% | — |
| DTBench | 93.3% | — |
| LMCA | 55% | — |

## Math

- GPT-5.6 Terra: 81.6 (#12)
- Kimi K2.7 Code: 52.9 (#48)

| Benchmark | GPT-5.6 Terra | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 86% | 54% |
| FrontierMath Tier 4 | 70.7% | 12.2% |
| OTIS Mock AIME 2024-2025 | 99.7% | 95.6% |
| ProofBench | 74% | — |
| LMArena Math | 1466 | — |

## Knowledge

- GPT-5.6 Terra: 61.2 (#30)
- Kimi K2.7 Code: 53.5 (#57)

| Benchmark | GPT-5.6 Terra | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 93.3% | 87.9% |
| SimpleQA Verified | 43.2% | 36.5% |
| LMArena Expert | 1492 | — |

## Multimodal

- GPT-5.6 Terra: 47.3 (#11)
- Kimi K2.7 Code: —

| Benchmark | GPT-5.6 Terra | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1271 | — |
| Blueprint-Bench 2 | 30.8% | — |
| Furniture Assembly | 54.2% | — |
| LMArena Document | 1472 | — |

## Multilingual

- GPT-5.6 Terra: 54.4 (#44)
- Kimi K2.7 Code: —

| Benchmark | GPT-5.6 Terra | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1439 | — |
| LMArena Chinese | 1513 | — |
| LMArena French | 1471 | — |
| LMArena German | 1460 | — |
| LMArena Japanese | 1457 | — |
| LMArena Korean | 1425 | — |
| LMArena Russian | 1450 | — |
| LMArena Spanish | 1448 | — |

## Instruction Following

- GPT-5.6 Terra: 76.4 (#40)
- Kimi K2.7 Code: —

| Benchmark | GPT-5.6 Terra | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1454 | — |

## Long Context

- GPT-5.6 Terra: 44.4 (#68)
- Kimi K2.7 Code: —

| Benchmark | GPT-5.6 Terra | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1451 | — |

## Writing & Preference

- GPT-5.6 Terra: 70.2 (#23)
- Kimi K2.7 Code: —

| Benchmark | GPT-5.6 Terra | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1447 | — |
| LMArena Creative Writing | 1410 | — |
| EQ-Bench Creative Writing | 1855 | — |
| EQ-Bench 4 | 1234 | — |
| LMArena Multi-Turn | 1449 | — |

## FAQ

### Is GPT-5.6 Terra better than Kimi K2.7 Code?

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 2.6× 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 Kimi K2.7 Code?

Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; GPT-5.6 Terra lists at $2 and $12.

### Is GPT-5.6 Terra or Kimi K2.7 Code better for coding?

GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 42.9 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.6 Terra does, with 1.05M tokens against 262K.

### How many benchmarks do GPT-5.6 Terra and Kimi K2.7 Code share?

18 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and Kimi K2.7 Code has 19.