Pairwise benchmark snapshot · Aug 17, 2026
In this head-to-head showdown, Z.ai: GLM 5V Turbo delivers higher overall intelligence and human-preferred responses (Elo 1,475 vs 1,430), while Z.ai: GLM 5V Turbo leads in SWE-bench software engineering benchmarks (65.2%), while Yi-Large is more budget-friendly at $0.3/1M per 1M output tokens, while Z.ai: GLM 5V Turbo provides faster response streaming (112 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.
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Δ 45 Arena Elo pts
112 tok/s
$0.3 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | Z.ai: GLM 5V Turbo | Yi-Large | Advantage Delta |
|---|---|---|---|
| Preference Elo | Z.ai: GLM 5V Turbo (+45) | ||
| Coding Elo | Z.ai: GLM 5V Turbo (+72) | ||
| LiveBench | Z.ai: GLM 5V Turbo (+3.3%) | ||
| SWE-bench | Z.ai: GLM 5V Turbo (+11.4%) | ||
| GPQA Diamond | Z.ai: GLM 5V Turbo (+5%) | ||
| Time to first token | Z.ai: GLM 5V Turbo (+40 ms) | ||
| Output speed | 112 tok/s | 90 tok/s | Z.ai: GLM 5V Turbo (+22 tok/s) |
| Input price | $1.2/1M | $0.3/1M | Yi-Large (+$0.9/1M) |
| Output price | $0.3/1M | Yi-Large (+$3.7/1M) | |
| Context window | Z.ai: GLM 5V Turbo (+170k) |
Simulate monthly production API costs in USD (US Dollar).
Yi-Large is estimated to save $87.00/month ($1,044/year).
Higher SWE-bench (65.2%).
Lower output list price ($0.3/1M).
Lower TTFT (180 ms).
Larger window (203k).
Z.ai: GLM 5V Turbo is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Z.ai: GLM 5V Turbo | Higher SWE-bench (65.2%). |
| High-volume chat | Yi-Large | Lower output list price ($0.3/1M). |
| Voice / low-latency UI | Z.ai: GLM 5V Turbo | Lower TTFT (180 ms). |
| Long-document RAG | Z.ai: GLM 5V Turbo | Larger window (203k). |
| Screenshots / vision | Z.ai: GLM 5V Turbo | Z.ai: GLM 5V Turbo is the side marked multimodal in the catalog. |
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