Model comparison
Granite 4.2 30b vs Qwen2.5 7B Instruct
Granite 4.2 30b is the stronger model overall, scoring 41.8 to 29.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Granite 4.2 30b leads 39.1 to 17.0.
Side by side
| Granite 4.2 30b | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | IBM | Alibaba (Qwen) |
| Noometry Index | 41.8 | 29.0 |
| Released | — | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 11 | 15 |
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Category by category
Coding Granite 4.2 30b leads
Granite 4.2 30b: 41.0 (#126), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Granite 4.2 30b | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1396 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Granite 4.2 30b: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Granite 4.2 30b | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Granite 4.2 30b leads
Granite 4.2 30b: 27.8 (#112), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Granite 4.2 30b | Qwen2.5 7B Instruct |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1374 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.51 |
Math Not comparable
Granite 4.2 30b: —, Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Granite 4.2 30b | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
Knowledge Granite 4.2 30b leads
Granite 4.2 30b: 39.1 (#138), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Granite 4.2 30b | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1406 | — |
| MMLU | — | 72.9% |
Multilingual Not comparable
Granite 4.2 30b: 47.3 (#151), Qwen2.5 7B Instruct: —
| Benchmark | Granite 4.2 30b | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1340 | — |
| LMArena Chinese | 1414 | — |
| LMArena Russian | 1343 | — |
Instruction Following Granite 4.2 30b leads
Granite 4.2 30b: 71.2 (#155), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Granite 4.2 30b | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1347 | — |
Long Context Not comparable
Granite 4.2 30b: 41.4 (#140), Qwen2.5 7B Instruct: —
| Benchmark | Granite 4.2 30b | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1359 | — |
Writing & Preference Granite 4.2 30b leads
Granite 4.2 30b: 53.8 (#156), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Granite 4.2 30b | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1361 | — |
| LMArena Creative Writing | 1288 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1339 | — |
Frequently asked questions
Is Granite 4.2 30b better than Qwen2.5 7B Instruct?
Granite 4.2 30b is the stronger model overall, scoring 41.8 to 29.0 on the Noometry Index.
Is Granite 4.2 30b or Qwen2.5 7B Instruct better for coding?
Granite 4.2 30b scores higher on coding benchmarks: 41.0 versus 36.5 in the Noometry coding category.
How many benchmarks do Granite 4.2 30b and Qwen2.5 7B Instruct share?
0 benchmarks have published results for both models. Granite 4.2 30b has 11 scored results on Noometry and Qwen2.5 7B Instruct has 15.