# GPT-5.6 Sol vs Granite 4.0 Micro

> GPT-5.6 Sol is the stronger model overall, scoring 65.0 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 196× less per token, which makes it the better buy when GPT-5.6 Sol's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-6-sol-vs-granite-4-0-micro
- Last updated: 2026-10-12
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. GPT-5.6 Sol scores higher in 5 categories and Granite 4.0 Micro in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Sol leads 85.6 to 12.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-5.6 Sol and 2.8% for Granite 4.0 Micro.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $4 / $20 for GPT-5.6 Sol.
- GPT-5.6 Sol accepts more context: 1.05M tokens versus 131K.
- Granite 4.0 Micro has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.6 Sol | Granite 4.0 Micro |
|---|---|---|
| Provider | OpenAI | IBM |
| Noometry Index | 65.0 | 29.0 |
| Rank | 7 | 318 |
| Context | 1.05M | 131K |
| Input $/M | $4 | $0.017 |
| Output $/M | $20 | $0.11 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.6 Sol: 65.1 (#7)
- Granite 4.0 Micro: —

| Benchmark | GPT-5.6 Sol | Granite 4.0 Micro |
|---|---|---|
| DeepSWE | 72.7% | — |
| FrontierCode | 47.5% | — |
| CursorBench | 41.7% | — |
| LMArena WebDev | 1618 | — |
| FrontierSWE | 32.2% | — |
| SciCode | 57.1% | — |
| GSO | 76.5% | — |
| WeirdML | 89.4% | — |
| LMArena Coding | 1498 | — |
| MirrorCode | 20% | — |
| ALE-Bench | 2,177 | — |

## Agentic & Tool Use

- GPT-5.6 Sol: 50.3 (#7)
- Granite 4.0 Micro: —

| Benchmark | GPT-5.6 Sol | Granite 4.0 Micro |
|---|---|---|
| APEX-Agents | 51.4% | — |
| OSWorld 2.0 | 27.3% | — |
| τ²-bench Banking | 46.9% | — |
| PostTrainBench | 36.2% | — |
| BALROG | 60% | — |
| GBAEval | 52.6% | — |
| GDP.pdf | 30.7% | — |
| LMArena Search | 1257 | — |
| Vending-Bench 2 | 9,619 | — |

## Reasoning

- GPT-5.6 Sol: 74.8 (#8)
- Granite 4.0 Micro: 19.2 (#265)

| Benchmark | GPT-5.6 Sol | Granite 4.0 Micro |
|---|---|---|
| Chess Puzzles | 64% | 0% |
| ARC-AGI-2 | 92.5% | — |
| SimpleBench | 71.7% | — |
| Kagi LLM Benchmark | 67% | — |
| NYT Connections (extended) | 93.8% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 32.3% | — |
| EnigmaEval | 37.1% | — |
| EBR-Bench | 44.8% | — |
| LMArena Hard Prompts | 1484 | — |
| Mystery Game Puzzles | 58% | — |
| DTBench | 96% | — |
| LMCA | 59.2% | — |
| Surface Evolver Bench | 93.1% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 161.66 | — |

## Math

- GPT-5.6 Sol: 85.6 (#9)
- Granite 4.0 Micro: 12.0 (#307)

| Benchmark | GPT-5.6 Sol | Granite 4.0 Micro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 2.8% |
| FrontierMath (Tiers 1-3) | 89.1% | — |
| FrontierMath Tier 4 | 82.9% | — |
| ProofBench | 83% | — |
| Omni-MATH | — | 20.9% |
| LMArena Math | 1474 | — |
| FrontierMath Erdős | 0% | — |

## Knowledge

- GPT-5.6 Sol: 64.3 (#18)
- Granite 4.0 Micro: 9.9 (#304)

| Benchmark | GPT-5.6 Sol | Granite 4.0 Micro |
|---|---|---|
| GPQA Diamond | 93.5% | 28.3% |
| SimpleQA Verified | 69.7% | — |
| MMLU-Pro | — | 39.5% |
| Vectara Hallucination Rate | 12.4% | — |
| GPQA (HELM) | — | 30.7% |
| LMArena Expert | 1516 | — |

## Multimodal

- GPT-5.6 Sol: 48.6 (#9)
- Granite 4.0 Micro: —

| Benchmark | GPT-5.6 Sol | Granite 4.0 Micro |
|---|---|---|
| LMArena Vision | 1281 | — |
| Blueprint-Bench 2 | 33.6% | — |
| Furniture Assembly | 56.7% | — |
| LMArena Document | 1483 | — |

## Multilingual

- GPT-5.6 Sol: 55.3 (#32)
- Granite 4.0 Micro: —

| Benchmark | GPT-5.6 Sol | Granite 4.0 Micro |
|---|---|---|
| LMArena Non-English | 1452 | — |
| LMArena Chinese | 1527 | — |
| LMArena French | 1477 | — |
| LMArena German | 1476 | — |
| LMArena Japanese | 1471 | — |
| LMArena Korean | 1442 | — |
| LMArena Russian | 1468 | — |
| LMArena Spanish | 1441 | — |

## Instruction Following

- GPT-5.6 Sol: 77.7 (#16)
- Granite 4.0 Micro: 69.9 (#169)

| Benchmark | GPT-5.6 Sol | Granite 4.0 Micro |
|---|---|---|
| IFEval | — | 84.9% |
| LMArena Instruction Following | 1482 | — |

## Long Context

- GPT-5.6 Sol: 45.4 (#42)
- Granite 4.0 Micro: —

| Benchmark | GPT-5.6 Sol | Granite 4.0 Micro |
|---|---|---|
| LMArena Longer Query | 1480 | — |

## Writing & Preference

- GPT-5.6 Sol: 73.3 (#12)
- Granite 4.0 Micro: 46.7 (#216)

| Benchmark | GPT-5.6 Sol | Granite 4.0 Micro |
|---|---|---|
| LMArena Text | 1457 | — |
| LMArena Creative Writing | 1448 | — |
| EQ-Bench Creative Writing | 1972 | — |
| WildBench | — | 67% |
| EQ-Bench 4 | 1250 | — |
| LMArena Multi-Turn | 1460 | — |

## FAQ

### Is GPT-5.6 Sol better than Granite 4.0 Micro?

GPT-5.6 Sol is the stronger model overall, scoring 65.0 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 196× less per token, which makes it the better buy when GPT-5.6 Sol's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.6 Sol or Granite 4.0 Micro?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; GPT-5.6 Sol lists at $4 and $20.

### Which has the bigger context window?

GPT-5.6 Sol does, with 1.05M tokens against 131K.

### How many benchmarks do GPT-5.6 Sol and Granite 4.0 Micro share?

3 benchmarks have published results for both models. GPT-5.6 Sol has 65 scored results on Noometry and Granite 4.0 Micro has 8.