Model comparison
Llama 4 Maverick vs Yi-34B
Llama 4 Maverick is the stronger model overall, scoring 30.9 to 27.8 on the Noometry Index.
Last verified . 20 shared benchmarks.
MetaSummary
- They share 20 benchmarks with published results for both. Llama 4 Maverick scores higher in 5 categories and Yi-34B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 4 Maverick leads 33.4 to 7.5.
- The biggest single-benchmark swing is MATH Level 5: 73% for Llama 4 Maverick and 5.1% for Yi-34B.
Side by side
| Llama 4 Maverick | Yi-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 30.9 | 27.8 |
| Released | 2025-04-05 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.19 | — |
| Output $ / M tokens | $0.65 | — |
| Results tracked | 54 | 23 |
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Category by category
Coding Yi-34B leads
Llama 4 Maverick: 26.6 (#324), Yi-34B: 32.3 (#274)
| Benchmark | Llama 4 Maverick | Yi-34B |
|---|---|---|
| LMArena Coding | 1302 | 1112 |
| 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
Llama 4 Maverick: 28.2 (#91), Yi-34B: —
| Benchmark | Llama 4 Maverick | Yi-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.3% | — |
Reasoning Yi-34B leads
Llama 4 Maverick: 10.1 (#342), Yi-34B: 21.2 (#226)
| Benchmark | Llama 4 Maverick | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1281 | 1104 |
| Epoch Capabilities Index | 132.2 | 117.39 |
| 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% | — |
| BIG-Bench Hard | — | 71.7% |
| ForecastBench | 57.5 | — |
Math Llama 4 Maverick leads
Llama 4 Maverick: 26.0 (#262), Yi-34B: 21.6 (#282)
| Benchmark | Llama 4 Maverick | Yi-34B |
|---|---|---|
| LMArena Math | 1299 | 1114 |
| MATH Level 5 | 73% | 5.1% |
| OTIS Mock AIME 2024-2025 | 20.6% | — |
| Omni-MATH | 42.2% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
| GSM8K | — | 76% |
Knowledge Llama 4 Maverick leads
Llama 4 Maverick: 33.4 (#204), Yi-34B: 7.5 (#309)
| Benchmark | Llama 4 Maverick | Yi-34B |
|---|---|---|
| GPQA Diamond | 67% | 14.7% |
| LMArena Expert | 1259 | 1061 |
| Humanity's Last Exam | 5.7% | — |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |
| MMLU | — | 76.3% |
Multimodal Not comparable
Llama 4 Maverick: 31.6 (#105), Yi-34B: —
| Benchmark | Llama 4 Maverick | Yi-34B |
|---|---|---|
| LMArena Vision | 1142 | — |
| GeoBench | 52% | — |
| SpatialViz-Bench | 31.8% | — |
Multilingual Llama 4 Maverick leads
Llama 4 Maverick: 42.2 (#195), Yi-34B: 29.7 (#264)
| Benchmark | Llama 4 Maverick | Yi-34B |
|---|---|---|
| LMArena Non-English | 1269 | 1079 |
| LMArena Chinese | 1277 | 1176 |
| LMArena French | 1259 | 1081 |
| LMArena German | 1291 | 1042 |
| LMArena Japanese | 1207 | 993 |
| LMArena Korean | 1203 | 959 |
| LMArena Russian | 1286 | 1050 |
| LMArena Spanish | 1293 | 1070 |
Instruction Following Llama 4 Maverick leads
Llama 4 Maverick: 71.7 (#146), Yi-34B: 56.2 (#274)
| Benchmark | Llama 4 Maverick | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1267 | 1091 |
| IFEval | 90.8% | — |
Long Context Yi-34B leads
Llama 4 Maverick: 31.4 (#279), Yi-34B: 33.2 (#264)
| Benchmark | Llama 4 Maverick | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1280 | 1094 |
| Fiction.LiveBench | 46.2% | — |
Writing & Preference Llama 4 Maverick leads
Llama 4 Maverick: 38.8 (#252), Yi-34B: 34.1 (#273)
| Benchmark | Llama 4 Maverick | Yi-34B |
|---|---|---|
| LMArena Text | 1287 | 1129 |
| LMArena Creative Writing | 1267 | 1108 |
| LMArena Multi-Turn | 1289 | 1113 |
| Short-Story Creative Writing | 62% | — |
| EQ-Bench Creative Writing | 860 | — |
| WildBench | 80% | — |
Frequently asked questions
Is Llama 4 Maverick better than Yi-34B?
Llama 4 Maverick is the stronger model overall, scoring 30.9 to 27.8 on the Noometry Index.
Is Llama 4 Maverick or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 26.6 in the Noometry coding category.
How many benchmarks do Llama 4 Maverick and Yi-34B share?
20 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and Yi-34B has 23.