Model comparison
Hy3 vs Llama 4 Maverick
Hy3 is the stronger model overall, scoring 44.2 to 30.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
Tencent
MetaSummary
- They share 18 benchmarks with published results for both. Hy3 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 Hy3 leads 62.2 to 38.8.
- The biggest single-benchmark swing is NYT Connections (extended): 41.2% for Hy3 and 8% for Llama 4 Maverick.
- Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $0.19 / $0.65 for Llama 4 Maverick.
- Hy3 accepts more context: 262K tokens versus 128K.
Side by side
| Hy3 | Llama 4 Maverick | |
|---|---|---|
| Provider | Tencent | Meta |
| Noometry Index | 44.2 | 30.9 |
| Released | 2026-07-06 | 2025-04-05 |
| Weights | Open | Open |
| Context window | 262K | 128K |
| Max output | 128K | 4K |
| Input $ / M tokens | $0.0825 | $0.19 |
| Output $ / M tokens | $0.33 | $0.65 |
| Results tracked | 19 | 54 |
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Category by category
Coding Hy3 leads
Hy3: 46.8 (#63), Llama 4 Maverick: 26.6 (#324)
| Benchmark | Hy3 | Llama 4 Maverick |
|---|---|---|
| LMArena Coding | 1464 | 1302 |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| LMArena WebDev | 1508 | — |
| SciCode | — | 33.1% |
| WeirdML | — | 24.5% |
| BigCodeBench Instruct | — | 49.7% |
| BigCodeBench Complete | — | 61.4% |
| ALE-Bench | — | 172.97 |
Agentic & Tool Use Not comparable
Hy3: —, Llama 4 Maverick: 28.2 (#91)
| Benchmark | Hy3 | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
Reasoning Hy3 leads
Hy3: 26.1 (#136), Llama 4 Maverick: 10.1 (#342)
| Benchmark | Hy3 | Llama 4 Maverick |
|---|---|---|
| NYT Connections (extended) | 41.2% | 8% |
| LMArena Hard Prompts | 1447 | 1281 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| Kagi LLM Benchmark | — | 55.9% |
| 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 Hy3 leads
Hy3: 40.1 (#93), Llama 4 Maverick: 26.0 (#262)
| Benchmark | Hy3 | Llama 4 Maverick |
|---|---|---|
| LMArena Math | 1475 | 1299 |
| OTIS Mock AIME 2024-2025 | — | 20.6% |
| Omni-MATH | — | 42.2% |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Hy3 leads
Hy3: 40.8 (#114), Llama 4 Maverick: 33.4 (#204)
| Benchmark | Hy3 | Llama 4 Maverick |
|---|---|---|
| LMArena Expert | 1460 | 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
Hy3: —, Llama 4 Maverick: 31.6 (#105)
| Benchmark | Hy3 | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |
Multilingual Hy3 leads
Hy3: 53.5 (#65), Llama 4 Maverick: 42.2 (#195)
| Benchmark | Hy3 | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1426 | 1269 |
| LMArena Chinese | 1493 | 1277 |
| LMArena French | 1461 | 1259 |
| LMArena German | 1439 | 1291 |
| LMArena Japanese | 1392 | 1207 |
| LMArena Korean | 1395 | 1203 |
| LMArena Russian | 1432 | 1286 |
| LMArena Spanish | 1456 | 1293 |
Instruction Following Hy3 leads
Hy3: 75.1 (#70), Llama 4 Maverick: 71.7 (#146)
| Benchmark | Hy3 | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1426 | 1267 |
| IFEval | — | 90.8% |
Long Context Hy3 leads
Hy3: 44.1 (#75), Llama 4 Maverick: 31.4 (#279)
| Benchmark | Hy3 | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1442 | 1280 |
| Fiction.LiveBench | — | 46.2% |
Writing & Preference Hy3 leads
Hy3: 62.2 (#81), Llama 4 Maverick: 38.8 (#252)
| Benchmark | Hy3 | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1439 | 1287 |
| LMArena Creative Writing | 1402 | 1267 |
| LMArena Multi-Turn | 1436 | 1289 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
Frequently asked questions
Is Hy3 better than Llama 4 Maverick?
Hy3 is the stronger model overall, scoring 44.2 to 30.9 on the Noometry Index.
Which is cheaper, Hy3 or Llama 4 Maverick?
Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; Llama 4 Maverick lists at $0.19 and $0.65.
Is Hy3 or Llama 4 Maverick better for coding?
Hy3 scores higher on coding benchmarks: 46.8 versus 26.6 in the Noometry coding category.
Which has the bigger context window?
Hy3 does, with 262K tokens against 128K.
How many benchmarks do Hy3 and Llama 4 Maverick share?
18 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Llama 4 Maverick has 54.