Model comparison
Amazon Nova Experimental Chat 26 02 10 vs Llama 4 Maverick
Amazon Nova Experimental Chat 26 02 10 is the stronger model overall, scoring 44.5 to 30.9 on the Noometry Index.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. Amazon Nova Experimental Chat 26 02 10 scores higher in 8 categories and Llama 4 Maverick in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Amazon Nova Experimental Chat 26 02 10 leads 61.8 to 38.8.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 26 02 10 | Llama 4 Maverick | |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 44.5 | 30.9 |
| Released | — | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.19 |
| Output $ / M tokens | — | $0.65 |
| Results tracked | 12 | 54 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 43.9 (#82), Llama 4 Maverick: 26.6 (#324)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Llama 4 Maverick |
|---|---|---|
| LMArena Coding | 1483 | 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
Amazon Nova Experimental Chat 26 02 10: —, Llama 4 Maverick: 28.2 (#91)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
Reasoning Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 30.1 (#86), Llama 4 Maverick: 10.1 (#342)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Llama 4 Maverick |
|---|---|---|
| LMArena Hard Prompts | 1458 | 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 Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 39.3 (#109), Llama 4 Maverick: 26.0 (#262)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Llama 4 Maverick |
|---|---|---|
| LMArena Math | 1438 | 1299 |
| OTIS Mock AIME 2024-2025 | — | 20.6% |
| Omni-MATH | — | 42.2% |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 42.3 (#97), Llama 4 Maverick: 33.4 (#204)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Llama 4 Maverick |
|---|---|---|
| LMArena Expert | 1506 | 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
Amazon Nova Experimental Chat 26 02 10: —, Llama 4 Maverick: 31.6 (#105)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |
Multilingual Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 54.0 (#50), Llama 4 Maverick: 42.2 (#195)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1434 | 1269 |
| LMArena Chinese | 1463 | 1277 |
| LMArena Russian | 1423 | 1286 |
| LMArena French | — | 1259 |
| LMArena German | — | 1291 |
| LMArena Japanese | — | 1207 |
| LMArena Korean | — | 1203 |
| LMArena Spanish | — | 1293 |
Instruction Following Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 75.2 (#69), Llama 4 Maverick: 71.7 (#146)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1427 | 1267 |
| IFEval | — | 90.8% |
Long Context Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 44.0 (#77), Llama 4 Maverick: 31.4 (#279)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1441 | 1280 |
| Fiction.LiveBench | — | 46.2% |
Writing & Preference Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 61.8 (#84), Llama 4 Maverick: 38.8 (#252)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1448 | 1287 |
| LMArena Creative Writing | 1368 | 1267 |
| LMArena Multi-Turn | 1442 | 1289 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
Frequently asked questions
Is Amazon Nova Experimental Chat 26 02 10 better than Llama 4 Maverick?
Amazon Nova Experimental Chat 26 02 10 is the stronger model overall, scoring 44.5 to 30.9 on the Noometry Index.
Is Amazon Nova Experimental Chat 26 02 10 or Llama 4 Maverick better for coding?
Amazon Nova Experimental Chat 26 02 10 scores higher on coding benchmarks: 43.9 versus 26.6 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 26 02 10 and Llama 4 Maverick share?
12 benchmarks have published results for both models. Amazon Nova Experimental Chat 26 02 10 has 12 scored results on Noometry and Llama 4 Maverick has 54.