Model comparison
Granite 4.2 8B vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 40.5 on the Noometry Index. Granite 4.2 8B costs 326× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in long context, where o3-pro leads 72.2 to 40.3.
- Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 131K.
- Granite 4.2 8B has downloadable open weights; the other is API-only.
Side by side
| Granite 4.2 8B | o3-pro | |
|---|---|---|
| Provider | IBM | OpenAI |
| Noometry Index | 40.5 | 42.9 |
| Released | — | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 131K | 200K |
| Max output | 118K | 100K |
| Input $ / M tokens | $0.06 | $20 |
| Output $ / M tokens | $0.25 | $80 |
| Results tracked | 11 | 12 |
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Category by category
Coding o3-pro leads
Granite 4.2 8B: 40.5 (#137), o3-pro: 55.5 (#24)
| Benchmark | Granite 4.2 8B | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1380 | — |
Reasoning Granite 4.2 8B leads
Granite 4.2 8B: 26.6 (#131), o3-pro: 23.8 (#171)
| Benchmark | Granite 4.2 8B | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1329 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.42 |
Knowledge Granite 4.2 8B leads
Granite 4.2 8B: 38.4 (#145), o3-pro: 29.5 (#238)
| Benchmark | Granite 4.2 8B | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1384 | — |
Multilingual Not comparable
Granite 4.2 8B: 44.5 (#178), o3-pro: —
| Benchmark | Granite 4.2 8B | o3-pro |
|---|---|---|
| LMArena Non-English | 1302 | — |
| LMArena Chinese | 1366 | — |
| LMArena Russian | 1285 | — |
Instruction Following Not comparable
Granite 4.2 8B: 68.7 (#184), o3-pro: —
| Benchmark | Granite 4.2 8B | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1301 | — |
Long Context o3-pro leads
Granite 4.2 8B: 40.3 (#159), o3-pro: 72.2 (#1)
| Benchmark | Granite 4.2 8B | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1324 | — |
Writing & Preference o3-pro leads
Granite 4.2 8B: 49.6 (#189), o3-pro: 57.1 (#133)
| Benchmark | Granite 4.2 8B | o3-pro |
|---|---|---|
| LMArena Text | 1320 | — |
| LMArena Creative Writing | 1236 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1301 | — |
Frequently asked questions
Is Granite 4.2 8B better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 40.5 on the Noometry Index. Granite 4.2 8B costs 326× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Which is cheaper, Granite 4.2 8B or o3-pro?
Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; o3-pro lists at $20 and $80.
Is Granite 4.2 8B or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 40.5 in the Noometry coding category.
Which has the bigger context window?
o3-pro does, with 200K tokens against 131K.
How many benchmarks do Granite 4.2 8B and o3-pro share?
0 benchmarks have published results for both models. Granite 4.2 8B has 11 scored results on Noometry and o3-pro has 12.