Model comparison
GPT-3.5-turbo vs Granite 4.2 8B
Granite 4.2 8B is the stronger model overall, scoring 40.5 to 23.2 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and Granite 4.2 8B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Granite 4.2 8B leads 38.4 to 10.0.
- Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $0.50 / $1.50 for GPT-3.5-turbo.
- Granite 4.2 8B accepts more context: 131K tokens versus 16K.
- Granite 4.2 8B has downloadable open weights; the other is API-only.
Side by side
| GPT-3.5-turbo | Granite 4.2 8B | |
|---|---|---|
| Provider | OpenAI | IBM |
| Noometry Index | 23.2 | 40.5 |
| Released | 2023-03-01 | — |
| Weights | Proprietary | Open |
| Context window | 16K | 131K |
| Max output | 4K | 118K |
| Input $ / M tokens | $0.50 | $0.06 |
| Output $ / M tokens | $1.50 | $0.25 |
| Results tracked | 44 | 11 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Granite 4.2 8B leads
GPT-3.5-turbo: 23.9 (#331), Granite 4.2 8B: 40.5 (#137)
| Benchmark | GPT-3.5-turbo | Granite 4.2 8B |
|---|---|---|
| LMArena Coding | 1136 | 1380 |
| WeirdML | 3.5% | — |
| BigCodeBench Instruct | 39.1% | — |
| BigCodeBench Complete | 50.6% | — |
| HumanEval+ | 70.7% | — |
| MBPP+ | 69.7% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, Granite 4.2 8B: —
| Benchmark | GPT-3.5-turbo | Granite 4.2 8B |
|---|---|---|
| METR Time Horizons | 21.5% | — |
Reasoning Granite 4.2 8B leads
GPT-3.5-turbo: 13.8 (#332), Granite 4.2 8B: 26.6 (#131)
| Benchmark | GPT-3.5-turbo | Granite 4.2 8B |
|---|---|---|
| LMArena Hard Prompts | 1108 | 1329 |
| Chess Puzzles | 0% | — |
| Mystery Game Puzzles | 3% | — |
| DTBench | 48.5% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| Epoch Capabilities Index | 118.55 | — |
| ForecastBench | 50.4 | — |
| WinoGrande | 81.6% | — |
Math Not comparable
GPT-3.5-turbo: 6.3 (#327), Granite 4.2 8B: —
| Benchmark | GPT-3.5-turbo | Granite 4.2 8B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0% | — |
| OTIS Mock AIME 2024-2025 | 2.2% | — |
| LMArena Math | 1142 | — |
| MATH Level 5 | 15.9% | — |
| GSM8K | 57.8% | — |
Knowledge Granite 4.2 8B leads
GPT-3.5-turbo: 10.0 (#303), Granite 4.2 8B: 38.4 (#145)
| Benchmark | GPT-3.5-turbo | Granite 4.2 8B |
|---|---|---|
| LMArena Expert | 1070 | 1384 |
| GPQA Diamond | 28% | — |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual Granite 4.2 8B leads
GPT-3.5-turbo: 31.5 (#258), Granite 4.2 8B: 44.5 (#178)
| Benchmark | GPT-3.5-turbo | Granite 4.2 8B |
|---|---|---|
| LMArena Non-English | 1108 | 1302 |
| LMArena Chinese | 1075 | 1366 |
| LMArena Russian | 1123 | 1285 |
| LMArena French | 1118 | — |
| LMArena German | 1090 | — |
| LMArena Japanese | 1043 | — |
| LMArena Korean | 1019 | — |
| LMArena Spanish | 1121 | — |
Instruction Following Granite 4.2 8B leads
GPT-3.5-turbo: 57.9 (#262), Granite 4.2 8B: 68.7 (#184)
| Benchmark | GPT-3.5-turbo | Granite 4.2 8B |
|---|---|---|
| LMArena Instruction Following | 1119 | 1301 |
Long Context Granite 4.2 8B leads
GPT-3.5-turbo: 34.0 (#254), Granite 4.2 8B: 40.3 (#159)
| Benchmark | GPT-3.5-turbo | Granite 4.2 8B |
|---|---|---|
| LMArena Longer Query | 1121 | 1324 |
Writing & Preference Granite 4.2 8B leads
GPT-3.5-turbo: 25.3 (#305), Granite 4.2 8B: 49.6 (#189)
| Benchmark | GPT-3.5-turbo | Granite 4.2 8B |
|---|---|---|
| LMArena Text | 1125 | 1320 |
| LMArena Creative Writing | 1092 | 1236 |
| LMArena Multi-Turn | 1117 | 1301 |
| EQ-Bench Creative Writing | 451 | — |
Frequently asked questions
Is GPT-3.5-turbo better than Granite 4.2 8B?
Granite 4.2 8B is the stronger model overall, scoring 40.5 to 23.2 on the Noometry Index.
Which is cheaper, GPT-3.5-turbo or Granite 4.2 8B?
Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; GPT-3.5-turbo lists at $0.50 and $1.50.
Is GPT-3.5-turbo or Granite 4.2 8B better for coding?
Granite 4.2 8B scores higher on coding benchmarks: 40.5 versus 23.9 in the Noometry coding category.
Which has the bigger context window?
Granite 4.2 8B does, with 131K tokens against 16K.
How many benchmarks do GPT-3.5-turbo and Granite 4.2 8B share?
11 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Granite 4.2 8B has 11.