Model comparison
GPT-4 Turbo vs Granite 4.0 Micro
GPT-4 Turbo is the stronger model overall, scoring 30.3 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 368× less per token, which makes it the better buy when GPT-4 Turbo's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. GPT-4 Turbo scores higher in 2 categories and Granite 4.0 Micro in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4 Turbo leads 24.3 to 9.9.
- The biggest single-benchmark swing is GPQA Diamond: 46.6% for GPT-4 Turbo and 28.3% for Granite 4.0 Micro.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
- Granite 4.0 Micro accepts more context: 131K tokens versus 128K.
- Granite 4.0 Micro has downloadable open weights; the other is API-only.
Side by side
| GPT-4 Turbo | Granite 4.0 Micro | |
|---|---|---|
| Provider | OpenAI | IBM |
| Noometry Index | 30.3 | 28.8 |
| Released | 2023-11-06 | 2025-10-02 |
| Weights | Proprietary | Open |
| Context window | 128K | 131K |
| Max output | 4K | 118K |
| Input $ / M tokens | $10 | $0.017 |
| Output $ / M tokens | $30 | $0.11 |
| Results tracked | 36 | 8 |
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Category by category
Coding Not comparable
GPT-4 Turbo: 33.4 (#247), Granite 4.0 Micro: —
| Benchmark | GPT-4 Turbo | Granite 4.0 Micro |
|---|---|---|
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1268 | — |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Granite 4.0 Micro: —
| Benchmark | GPT-4 Turbo | Granite 4.0 Micro |
|---|---|---|
| METR Time Horizons | 36.7% | — |
Reasoning Granite 4.0 Micro leads
GPT-4 Turbo: 14.9 (#311), Granite 4.0 Micro: 18.5 (#261)
| Benchmark | GPT-4 Turbo | Granite 4.0 Micro |
|---|---|---|
| Chess Puzzles | 6% | 0% |
| SimpleBench | 25.1% | — |
| LMArena Hard Prompts | 1251 | — |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| Epoch Capabilities Index | 127.25 | — |
| ForecastBench | 59.4 | — |
Math Granite 4.0 Micro leads
GPT-4 Turbo: 8.6 (#316), Granite 4.0 Micro: 11.2 (#301)
| Benchmark | GPT-4 Turbo | Granite 4.0 Micro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.7% | 2.8% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| Omni-MATH | — | 20.9% |
| LMArena Math | 1272 | — |
| MATH Level 5 | 46.7% | — |
Knowledge GPT-4 Turbo leads
GPT-4 Turbo: 24.3 (#263), Granite 4.0 Micro: 9.9 (#299)
| Benchmark | GPT-4 Turbo | Granite 4.0 Micro |
|---|---|---|
| GPQA Diamond | 46.6% | 28.3% |
| MMLU-Pro | — | 39.5% |
| Confabulations | 28.4% | — |
| GPQA (HELM) | — | 30.7% |
| LMArena Expert | 1223 | — |
| MMLU | 81.3% | — |
Multimodal Not comparable
GPT-4 Turbo: 30.0 (#104), Granite 4.0 Micro: —
| Benchmark | GPT-4 Turbo | Granite 4.0 Micro |
|---|---|---|
| LMArena Vision | 1090 | — |
Multilingual Not comparable
GPT-4 Turbo: 40.7 (#211), Granite 4.0 Micro: —
| Benchmark | GPT-4 Turbo | Granite 4.0 Micro |
|---|---|---|
| LMArena Non-English | 1245 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1275 | — |
| LMArena German | 1259 | — |
| LMArena Japanese | 1194 | — |
| LMArena Korean | 1187 | — |
| LMArena Russian | 1259 | — |
| LMArena Spanish | 1260 | — |
Instruction Following Granite 4.0 Micro leads
GPT-4 Turbo: 66.0 (#211), Granite 4.0 Micro: 70.0 (#164)
| Benchmark | GPT-4 Turbo | Granite 4.0 Micro |
|---|---|---|
| IFEval | — | 84.9% |
| LMArena Instruction Following | 1250 | — |
Long Context Not comparable
GPT-4 Turbo: 38.0 (#200), Granite 4.0 Micro: —
| Benchmark | GPT-4 Turbo | Granite 4.0 Micro |
|---|---|---|
| LMArena Longer Query | 1254 | — |
Writing & Preference GPT-4 Turbo leads
GPT-4 Turbo: 47.9 (#201), Granite 4.0 Micro: 46.7 (#212)
| Benchmark | GPT-4 Turbo | Granite 4.0 Micro |
|---|---|---|
| LMArena Text | 1272 | — |
| LMArena Creative Writing | 1269 | — |
| WildBench | — | 67% |
| LMArena Multi-Turn | 1267 | — |
Frequently asked questions
Is GPT-4 Turbo better than Granite 4.0 Micro?
GPT-4 Turbo is the stronger model overall, scoring 30.3 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 368× less per token, which makes it the better buy when GPT-4 Turbo's lead doesn't matter for your workload.
Which is cheaper, GPT-4 Turbo 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-4 Turbo lists at $10 and $30.
Which has the bigger context window?
Granite 4.0 Micro does, with 131K tokens against 128K.
How many benchmarks do GPT-4 Turbo and Granite 4.0 Micro share?
3 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Granite 4.0 Micro has 8.