# Granite 4.0 Micro vs Kimi K2 (Jul 2025)

> Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 25× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/granite-4-0-micro-vs-kimi-k2
- Last updated: 2026-10-11
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. Granite 4.0 Micro scores higher in 0 categories and Kimi K2 (Jul 2025) in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2 (Jul 2025) leads 42.7 to 12.0.
- The biggest single-benchmark swing is Omni-MATH: 20.9% for Granite 4.0 Micro and 65.4% for Kimi K2 (Jul 2025).
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.57 / $2.30 for Kimi K2 (Jul 2025).
- Kimi K2 (Jul 2025) accepts more context: 262K tokens versus 131K.

## Snapshot

| | Granite 4.0 Micro | Kimi K2 (Jul 2025) |
|---|---|---|
| Provider | IBM | Moonshot AI |
| Noometry Index | 29.0 | 41.2 |
| Rank | 318 | 140 |
| Context | 131K | 262K |
| Input $/M | $0.017 | $0.57 |
| Output $/M | $0.11 | $2.30 |
| Weights | Open | Open |

## Coding

- Granite 4.0 Micro: —
- Kimi K2 (Jul 2025): 42.4 (#102)

| Benchmark | Granite 4.0 Micro | Kimi K2 (Jul 2025) |
|---|---|---|
| SWE-bench Verified (bash only) | — | 63.4% |
| Aider Polyglot | — | 59.1% |
| GSO | — | 4.9% |
| WeirdML | — | 42.8% |
| LMArena Coding | — | 1399 |
| ALE-Bench | — | 597.5 |

## Agentic & Tool Use

- Granite 4.0 Micro: —
- Kimi K2 (Jul 2025): 32.4 (#64)

| Benchmark | Granite 4.0 Micro | Kimi K2 (Jul 2025) |
|---|---|---|
| Terminal-Bench | — | 35.7% |
| Berkeley Function Calling Leaderboard | — | 59.1% |
| METR Time Horizons | — | 59.2% |

## Reasoning

- Granite 4.0 Micro: 19.2 (#265)
- Kimi K2 (Jul 2025): 23.3 (#179)

| Benchmark | Granite 4.0 Micro | Kimi K2 (Jul 2025) |
|---|---|---|
| SimpleBench | — | 26.3% |
| Kagi LLM Benchmark | — | 64.4% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1384 |
| Epoch Capabilities Index | — | 146.01 |
| ForecastBench | — | 60.2 |

## Math

- Granite 4.0 Micro: 12.0 (#307)
- Kimi K2 (Jul 2025): 42.7 (#83)

| Benchmark | Granite 4.0 Micro | Kimi K2 (Jul 2025) |
|---|---|---|
| Omni-MATH | 20.9% | 65.4% |
| OTIS Mock AIME 2024-2025 | 2.8% | — |
| LMArena Math | — | 1397 |
| FrontierMath (Feb 2025 set) | — | 21.4% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Granite 4.0 Micro: 9.9 (#304)
- Kimi K2 (Jul 2025): 37.3 (#157)

| Benchmark | Granite 4.0 Micro | Kimi K2 (Jul 2025) |
|---|---|---|
| MMLU-Pro | 39.5% | 81.9% |
| GPQA (HELM) | 30.7% | 65.3% |
| GPQA Diamond | 28.3% | — |
| Confabulations | — | 20.4% |
| Vectara Hallucination Rate | — | 17.9% |
| LMArena Expert | — | 1365 |

## Multilingual

- Granite 4.0 Micro: —
- Kimi K2 (Jul 2025): 49.6 (#130)

| Benchmark | Granite 4.0 Micro | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Non-English | — | 1372 |
| LMArena Chinese | — | 1415 |
| LMArena French | — | 1379 |
| LMArena German | — | 1387 |
| LMArena Japanese | — | 1349 |
| LMArena Korean | — | 1325 |
| LMArena Russian | — | 1385 |
| LMArena Spanish | — | 1386 |

## Instruction Following

- Granite 4.0 Micro: 69.9 (#169)
- Kimi K2 (Jul 2025): 71.1 (#156)

| Benchmark | Granite 4.0 Micro | Kimi K2 (Jul 2025) |
|---|---|---|
| IFEval | 84.9% | 85% |
| LMArena Instruction Following | — | 1348 |

## Long Context

- Granite 4.0 Micro: —
- Kimi K2 (Jul 2025): 41.2 (#145)

| Benchmark | Granite 4.0 Micro | Kimi K2 (Jul 2025) |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 17.6% |
| LMArena Longer Query | — | 1353 |

## Writing & Preference

- Granite 4.0 Micro: 46.7 (#216)
- Kimi K2 (Jul 2025): 62.3 (#78)

| Benchmark | Granite 4.0 Micro | Kimi K2 (Jul 2025) |
|---|---|---|
| WildBench | 67% | 86.2% |
| LMArena Text | — | 1380 |
| LMArena Creative Writing | — | 1350 |
| Short-Story Creative Writing | — | 85.6% |
| EQ-Bench Creative Writing | — | 1666 |
| LMArena Multi-Turn | — | 1371 |

## FAQ

### Is Granite 4.0 Micro better than Kimi K2 (Jul 2025)?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 25× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.

### Which is cheaper, Granite 4.0 Micro or Kimi K2 (Jul 2025)?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.

### Which has the bigger context window?

Kimi K2 (Jul 2025) does, with 262K tokens against 131K.

### How many benchmarks do Granite 4.0 Micro and Kimi K2 (Jul 2025) share?

5 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and Kimi K2 (Jul 2025) has 42.