# Granite 4.0 Micro vs Kimi K2.7 Code

> Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 42× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/granite-4-0-micro-vs-kimi-k2-7-code
- Last updated: 2026-10-12
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Granite 4.0 Micro scores higher in 0 categories and Kimi K2.7 Code in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 9.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 2.8% for Granite 4.0 Micro and 95.6% for Kimi K2.7 Code.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 131K.

## Snapshot

| | Granite 4.0 Micro | Kimi K2.7 Code |
|---|---|---|
| Provider | IBM | Moonshot AI |
| Noometry Index | 29.0 | 43.3 |
| Rank | 318 | 94 |
| Context | 131K | 262K |
| Input $/M | $0.017 | $0.95 |
| Output $/M | $0.11 | $4 |
| Weights | Open | Open |

## Coding

- Granite 4.0 Micro: —
- Kimi K2.7 Code: 42.9 (#95)

| Benchmark | Granite 4.0 Micro | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| WeirdML | — | 54.1% |
| ALE-Bench | — | 886.23 |

## Agentic & Tool Use

- Granite 4.0 Micro: —
- Kimi K2.7 Code: 24.0 (#122)

| Benchmark | Granite 4.0 Micro | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |

## Reasoning

- Granite 4.0 Micro: 19.2 (#265)
- Kimi K2.7 Code: 39.0 (#61)

| Benchmark | Granite 4.0 Micro | Kimi K2.7 Code |
|---|---|---|
| Chess Puzzles | 0% | 21% |
| SimpleBench | — | 57.9% |
| CritPt | — | 10% |
| Surface Evolver Bench | — | 48.8% |
| Epoch Capabilities Index | — | 149.97 |

## Math

- Granite 4.0 Micro: 12.0 (#307)
- Kimi K2.7 Code: 52.9 (#48)

| Benchmark | Granite 4.0 Micro | Kimi K2.7 Code |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.8% | 95.6% |
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| Omni-MATH | 20.9% | — |

## Knowledge

- Granite 4.0 Micro: 9.9 (#304)
- Kimi K2.7 Code: 53.5 (#57)

| Benchmark | Granite 4.0 Micro | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 28.3% | 87.9% |
| SimpleQA Verified | — | 36.5% |
| MMLU-Pro | 39.5% | — |
| GPQA (HELM) | 30.7% | — |

## Instruction Following

- Granite 4.0 Micro: 69.9 (#169)
- Kimi K2.7 Code: —

| Benchmark | Granite 4.0 Micro | Kimi K2.7 Code |
|---|---|---|
| IFEval | 84.9% | — |

## Writing & Preference

- Granite 4.0 Micro: 46.7 (#216)
- Kimi K2.7 Code: —

| Benchmark | Granite 4.0 Micro | Kimi K2.7 Code |
|---|---|---|
| WildBench | 67% | — |

## FAQ

### Is Granite 4.0 Micro better than Kimi K2.7 Code?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 42× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

### Which is cheaper, Granite 4.0 Micro or Kimi K2.7 Code?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 131K.

### How many benchmarks do Granite 4.0 Micro and Kimi K2.7 Code share?

3 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and Kimi K2.7 Code has 19.