Model comparison
Granite 4.2 8B vs Llama 4 Maverick
Granite 4.2 8B is the stronger model overall, scoring 40.0 to 30.6 on the Noometry Index.
Last verified . 11 shared benchmarks.
MetaSummary
- They share 11 benchmarks with published results for both. Granite 4.2 8B scores higher in 6 categories and Llama 4 Maverick in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Granite 4.2 8B leads 25.5 to 10.1.
- Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $0.19 / $0.65 for Llama 4 Maverick.
- Granite 4.2 8B accepts more context: 131K tokens versus 128K.
Side by side
| Granite 4.2 8B | Llama 4 Maverick | |
|---|---|---|
| Provider | IBM | Meta |
| Noometry Index | 40.0 | 30.6 |
| Released | — | 2025-04-05 |
| Weights | Open | Open |
| Context window | 131K | 128K |
| Max output | 118K | 4K |
| Input $ / M tokens | $0.06 | $0.19 |
| Output $ / M tokens | $0.25 | $0.65 |
| Results tracked | 11 | 54 |
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Category by category
Coding Granite 4.2 8B leads
Granite 4.2 8B: 39.9 (#138), Llama 4 Maverick: 26.3 (#318)
| Benchmark | Granite 4.2 8B | Llama 4 Maverick |
|---|---|---|
| LMArena Coding | 1379 | 1302 |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| SciCode | — | 33.1% |
| WeirdML | — | 24.5% |
| BigCodeBench Instruct | — | 49.7% |
| BigCodeBench Complete | — | 61.4% |
| ALE-Bench | — | 172.97 |
Agentic & Tool Use Not comparable
Granite 4.2 8B: —, Llama 4 Maverick: 27.9 (#86)
| Benchmark | Granite 4.2 8B | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
Reasoning Granite 4.2 8B leads
Granite 4.2 8B: 25.5 (#130), Llama 4 Maverick: 10.1 (#337)
| Benchmark | Granite 4.2 8B | Llama 4 Maverick |
|---|---|---|
| LMArena Hard Prompts | 1327 | 1281 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| Kagi LLM Benchmark | — | 55.9% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| EnigmaEval | — | 0.6% |
| DTBench | — | 61.9% |
| LMCA | — | 15.9% |
| Epoch Capabilities Index | — | 132.2 |
| ForecastBench | — | 57.5 |
Math Not comparable
Granite 4.2 8B: —, Llama 4 Maverick: 24.6 (#256)
| Benchmark | Granite 4.2 8B | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 20.6% |
| Omni-MATH | — | 42.2% |
| LMArena Math | — | 1299 |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Granite 4.2 8B leads
Granite 4.2 8B: 37.7 (#144), Llama 4 Maverick: 33.3 (#196)
| Benchmark | Granite 4.2 8B | Llama 4 Maverick |
|---|---|---|
| LMArena Expert | 1380 | 1259 |
| GPQA Diamond | — | 67% |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
Multimodal Not comparable
Granite 4.2 8B: —, Llama 4 Maverick: 30.9 (#100)
| Benchmark | Granite 4.2 8B | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1141 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |
Multilingual Granite 4.2 8B leads
Granite 4.2 8B: 44.5 (#173), Llama 4 Maverick: 42.4 (#190)
| Benchmark | Granite 4.2 8B | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1299 | 1269 |
| LMArena Chinese | 1361 | 1277 |
| LMArena Russian | 1283 | 1286 |
| LMArena French | — | 1258 |
| LMArena German | — | 1291 |
| LMArena Japanese | — | 1207 |
| LMArena Korean | — | 1203 |
| LMArena Spanish | — | 1293 |
Instruction Following Llama 4 Maverick leads
Granite 4.2 8B: 68.7 (#183), Llama 4 Maverick: 71.9 (#140)
| Benchmark | Granite 4.2 8B | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1298 | 1267 |
| IFEval | — | 90.8% |
Long Context Granite 4.2 8B leads
Granite 4.2 8B: 40.2 (#154), Llama 4 Maverick: 31.4 (#274)
| Benchmark | Granite 4.2 8B | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1323 | 1280 |
| Fiction.LiveBench | — | 46.2% |
Writing & Preference Granite 4.2 8B leads
Granite 4.2 8B: 49.8 (#183), Llama 4 Maverick: 39.0 (#247)
| Benchmark | Granite 4.2 8B | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1319 | 1287 |
| LMArena Creative Writing | 1238 | 1266 |
| LMArena Multi-Turn | 1299 | 1289 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
Frequently asked questions
Is Granite 4.2 8B better than Llama 4 Maverick?
Granite 4.2 8B is the stronger model overall, scoring 40.0 to 30.6 on the Noometry Index.
Which is cheaper, Granite 4.2 8B or Llama 4 Maverick?
Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; Llama 4 Maverick lists at $0.19 and $0.65.
Is Granite 4.2 8B or Llama 4 Maverick better for coding?
Granite 4.2 8B scores higher on coding benchmarks: 39.9 versus 26.3 in the Noometry coding category.
Which has the bigger context window?
Granite 4.2 8B does, with 131K tokens against 128K.
How many benchmarks do Granite 4.2 8B and Llama 4 Maverick share?
11 benchmarks have published results for both models. Granite 4.2 8B has 11 scored results on Noometry and Llama 4 Maverick has 54.