Model comparison
GPT-6 Luna vs Granite 4.0 Micro
GPT-6 Luna is the stronger model overall, scoring 45.1 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 4.9× less per token, which makes it the better buy when GPT-6 Luna's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where GPT-6 Luna leads 40.1 to 9.9.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.10 / $0.50 for GPT-6 Luna.
- GPT-6 Luna accepts more context: 1.05M tokens versus 131K.
- Granite 4.0 Micro has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Luna | Granite 4.0 Micro | |
|---|---|---|
| Provider | OpenAI | IBM |
| Noometry Index | 45.1 | 28.8 |
| Released | 2026-09-22 | 2025-10-02 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 128K | 118K |
| Input $ / M tokens | $0.10 | $0.017 |
| Output $ / M tokens | $0.50 | $0.11 |
| Results tracked | 18 | 8 |
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Category by category
Coding Not comparable
GPT-6 Luna: 54.7 (#24), Granite 4.0 Micro: —
| Benchmark | GPT-6 Luna | Granite 4.0 Micro |
|---|---|---|
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
| LMArena Coding | 1448 | — |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 31.7 (#68), Granite 4.0 Micro: 18.5 (#261)
| Benchmark | GPT-6 Luna | Granite 4.0 Micro |
|---|---|---|
| NYT Connections (extended) | 68.7% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1415 | — |
Math GPT-6 Luna leads
GPT-6 Luna: 35.6 (#140), Granite 4.0 Micro: 11.2 (#301)
| Benchmark | GPT-6 Luna | Granite 4.0 Micro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.8% |
| Omni-MATH | — | 20.9% |
| LMArena Math | 1396 | — |
Knowledge GPT-6 Luna leads
GPT-6 Luna: 40.1 (#110), Granite 4.0 Micro: 9.9 (#299)
| Benchmark | GPT-6 Luna | Granite 4.0 Micro |
|---|---|---|
| GPQA Diamond | — | 28.3% |
| MMLU-Pro | — | 39.5% |
| GPQA (HELM) | — | 30.7% |
| LMArena Expert | 1458 | — |
Multimodal Not comparable
GPT-6 Luna: 42.0 (#27), Granite 4.0 Micro: —
| Benchmark | GPT-6 Luna | Granite 4.0 Micro |
|---|---|---|
| Furniture Assembly | 44.2% | — |
Multilingual Not comparable
GPT-6 Luna: 51.0 (#111), Granite 4.0 Micro: —
| Benchmark | GPT-6 Luna | Granite 4.0 Micro |
|---|---|---|
| LMArena Non-English | 1390 | — |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1392 | — |
| LMArena Spanish | 1416 | — |
Instruction Following GPT-6 Luna leads
GPT-6 Luna: 74.7 (#85), Granite 4.0 Micro: 70.0 (#164)
| Benchmark | GPT-6 Luna | Granite 4.0 Micro |
|---|---|---|
| IFEval | — | 84.9% |
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
GPT-6 Luna: 43.3 (#95), Granite 4.0 Micro: —
| Benchmark | GPT-6 Luna | Granite 4.0 Micro |
|---|---|---|
| LMArena Longer Query | 1417 | — |
Writing & Preference GPT-6 Luna leads
GPT-6 Luna: 58.4 (#115), Granite 4.0 Micro: 46.7 (#212)
| Benchmark | GPT-6 Luna | Granite 4.0 Micro |
|---|---|---|
| LMArena Text | 1392 | — |
| LMArena Creative Writing | 1357 | — |
| WildBench | — | 67% |
| LMArena Multi-Turn | 1400 | — |
Frequently asked questions
Is GPT-6 Luna better than Granite 4.0 Micro?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 4.9× less per token, which makes it the better buy when GPT-6 Luna's lead doesn't matter for your workload.
Which is cheaper, GPT-6 Luna 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-6 Luna lists at $0.10 and $0.50.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 131K.
How many benchmarks do GPT-6 Luna and Granite 4.0 Micro share?
0 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Granite 4.0 Micro has 8.