Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, GLM-5V Turbo delivers higher overall intelligence and human-preferred responses (Elo 1,475 vs 1,430), while 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 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.
10 direct benchmark disciplines evaluated across capability, speed, and cost
Zhipu high-throughput multimodal vision model with sub-second latency and competitive coding.
01.AI full-scale dense model for complex instruction following.
Currently comparing GLM-5V Turbo vs Yi-Large. Alternative family tiers available.
Δ 45 Arena Elo pts
112 tok/s
$0.3 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.
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 | GLM-5V Turbo | Yi-Large | Advantage Delta |
|---|---|---|---|
| Preference Elo | +45 | ||
| Coding Elo | +72 | ||
| LiveBench | +3.3% | ||
| SWE-bench | +11.4% | ||
| GPQA Diamond | +5% | ||
| Time to first token | +40 ms | ||
| Output speed | 112 tok/s | 90 tok/s | +22 tok/s |
| Input price | $0.15/1M | $0.3/1M | +$0.15/1M |
| Output price | $0.6/1M | $0.3/1M | +$0.3/1M |
| Context window | +95k |
Simulate monthly production API costs in USD (US Dollar).
GLM-5V Turbo is estimated to save $0.75/month ($9/year).
Higher SWE-bench (65.2%).
Lower output list price ($0.3/1M).
Lower TTFT (180 ms).
Larger window (128k).
GLM-5V Turbo is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | GLM-5V Turbo | Higher SWE-bench (65.2%). |
| High-volume chat | Yi-Large | Lower output list price ($0.3/1M). |
| Voice / low-latency UI | GLM-5V Turbo | Lower TTFT (180 ms). |
| Long-document RAG | GLM-5V Turbo | Larger window (128k). |
| Screenshots / vision | GLM-5V Turbo | GLM-5V Turbo is the side marked multimodal in the catalog. |
No comments posted on this matchup yet. Be the first to share an evaluation note!
Dynamic OpenGraph banner generated at /compare/glm-5v-turbo-vs-yi-large/opengraph-image
Verified Head-to-Head Telemetry