Model comparison
Granite 4.2 30b vs Qwen3 14B
Granite 4.2 30b is the stronger model overall, scoring 41.8 to 35.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Granite 4.2 30b leads 27.8 to 18.5.
Side by side
| Granite 4.2 30b | Qwen3 14B | |
|---|---|---|
| Provider | IBM | Alibaba (Qwen) |
| Noometry Index | 41.8 | 35.5 |
| Released | — | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 11 | 12 |
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Category by category
Coding Granite 4.2 30b leads
Granite 4.2 30b: 41.0 (#126), Qwen3 14B: 37.3 (#195)
| Benchmark | Granite 4.2 30b | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 1396 | — |
Agentic & Tool Use Not comparable
Granite 4.2 30b: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Granite 4.2 30b | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Granite 4.2 30b leads
Granite 4.2 30b: 27.8 (#112), Qwen3 14B: 18.5 (#280)
| Benchmark | Granite 4.2 30b | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1374 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
Math Not comparable
Granite 4.2 30b: —, Qwen3 14B: 38.6 (#133)
| Benchmark | Granite 4.2 30b | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
Knowledge Too close to call
Granite 4.2 30b: 39.1 (#138), Qwen3 14B: 39.3 (#134)
| Benchmark | Granite 4.2 30b | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1406 | — |
Multilingual Not comparable
Granite 4.2 30b: 47.3 (#151), Qwen3 14B: —
| Benchmark | Granite 4.2 30b | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1340 | — |
| LMArena Chinese | 1414 | — |
| LMArena Russian | 1343 | — |
Instruction Following Not comparable
Granite 4.2 30b: 71.2 (#155), Qwen3 14B: —
| Benchmark | Granite 4.2 30b | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1347 | — |
Long Context Granite 4.2 30b leads
Granite 4.2 30b: 41.4 (#140), Qwen3 14B: 38.1 (#204)
| Benchmark | Granite 4.2 30b | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1359 | — |
Writing & Preference Not comparable
Granite 4.2 30b: 53.8 (#156), Qwen3 14B: —
| Benchmark | Granite 4.2 30b | Qwen3 14B |
|---|---|---|
| LMArena Text | 1361 | — |
| LMArena Creative Writing | 1288 | — |
| LMArena Multi-Turn | 1339 | — |
Frequently asked questions
Is Granite 4.2 30b better than Qwen3 14B?
Granite 4.2 30b is the stronger model overall, scoring 41.8 to 35.5 on the Noometry Index.
Is Granite 4.2 30b or Qwen3 14B better for coding?
Granite 4.2 30b scores higher on coding benchmarks: 41.0 versus 37.3 in the Noometry coding category.
How many benchmarks do Granite 4.2 30b and Qwen3 14B share?
0 benchmarks have published results for both models. Granite 4.2 30b has 11 scored results on Noometry and Qwen3 14B has 12.