Model comparison
Llama 4 Scout vs Yi-34B
Llama 4 Scout and Yi-34B score almost the same on the Noometry Index (27.7 vs 27.8), so choose on price, context window or the category you care about most.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Llama 4 Scout scores higher in 4 categories and Yi-34B in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 4 Scout leads 31.9 to 7.5.
- The biggest single-benchmark swing is MATH Level 5: 62.3% for Llama 4 Scout and 5.1% for Yi-34B.
Side by side
| Llama 4 Scout | Yi-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 27.7 | 27.8 |
| Released | 2025-04-05 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.30 | — |
| Results tracked | 43 | 23 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Yi-34B leads
Llama 4 Scout: 20.2 (#339), Yi-34B: 32.3 (#274)
| Benchmark | Llama 4 Scout | Yi-34B |
|---|---|---|
| LMArena Coding | 1286 | 1112 |
| SWE-bench Verified (bash only) | 9.1% | — |
| SciCode | 17% | — |
| BigCodeBench Complete | 43.1% | — |
Agentic & Tool Use Not comparable
Llama 4 Scout: 24.6 (#119), Yi-34B: —
| Benchmark | Llama 4 Scout | Yi-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.1% | — |
Reasoning Yi-34B leads
Llama 4 Scout: 9.1 (#345), Yi-34B: 21.2 (#226)
| Benchmark | Llama 4 Scout | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1104 |
| Epoch Capabilities Index | 129.64 | 117.39 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 36.9% | — |
| ARC-AGI-1 | 0.5% | — |
| CritPt | 0% | — |
| DTBench | 57.9% | — |
| LMCA | 12% | — |
| BIG-Bench Hard | — | 71.7% |
| ForecastBench | 57.5 | — |
Math Yi-34B leads
Llama 4 Scout: 19.6 (#286), Yi-34B: 21.6 (#282)
| Benchmark | Llama 4 Scout | Yi-34B |
|---|---|---|
| LMArena Math | 1287 | 1114 |
| MATH Level 5 | 62.3% | 5.1% |
| OTIS Mock AIME 2024-2025 | 7.8% | — |
| Omni-MATH | 37.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | — | 76% |
Knowledge Llama 4 Scout leads
Llama 4 Scout: 31.9 (#217), Yi-34B: 7.5 (#309)
| Benchmark | Llama 4 Scout | Yi-34B |
|---|---|---|
| GPQA Diamond | 51.8% | 14.7% |
| LMArena Expert | 1235 | 1061 |
| MMLU-Pro | 74.2% | — |
| Vectara Hallucination Rate | 7.7% | — |
| GPQA (HELM) | 50.7% | — |
| MMLU | — | 76.3% |
Multimodal Not comparable
Llama 4 Scout: 32.2 (#102), Yi-34B: —
| Benchmark | Llama 4 Scout | Yi-34B |
|---|---|---|
| LMArena Vision | 1118 | — |
| SpatialViz-Bench | 34.2% | — |
Multilingual Llama 4 Scout leads
Llama 4 Scout: 41.0 (#212), Yi-34B: 29.7 (#264)
| Benchmark | Llama 4 Scout | Yi-34B |
|---|---|---|
| LMArena Non-English | 1252 | 1079 |
| LMArena Chinese | 1255 | 1176 |
| LMArena French | 1282 | 1081 |
| LMArena German | 1272 | 1042 |
| LMArena Japanese | 1206 | 993 |
| LMArena Korean | 1207 | 959 |
| LMArena Russian | 1263 | 1050 |
| LMArena Spanish | 1278 | 1070 |
Instruction Following Llama 4 Scout leads
Llama 4 Scout: 65.8 (#217), Yi-34B: 56.2 (#274)
| Benchmark | Llama 4 Scout | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1248 | 1091 |
| IFEval | 81.8% | — |
Long Context Yi-34B leads
Llama 4 Scout: 27.5 (#294), Yi-34B: 33.2 (#264)
| Benchmark | Llama 4 Scout | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1265 | 1094 |
| Fiction.LiveBench | 36% | — |
Writing & Preference Llama 4 Scout leads
Llama 4 Scout: 37.0 (#261), Yi-34B: 34.1 (#273)
| Benchmark | Llama 4 Scout | Yi-34B |
|---|---|---|
| LMArena Text | 1279 | 1129 |
| LMArena Creative Writing | 1249 | 1108 |
| LMArena Multi-Turn | 1280 | 1113 |
| EQ-Bench Creative Writing | 783 | — |
| WildBench | 78% | — |
Frequently asked questions
Is Llama 4 Scout better than Yi-34B?
Llama 4 Scout and Yi-34B score almost the same on the Noometry Index (27.7 vs 27.8), so choose on price, context window or the category you care about most.
Is Llama 4 Scout or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 20.2 in the Noometry coding category.
How many benchmarks do Llama 4 Scout and Yi-34B share?
20 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Yi-34B has 23.