Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, GLM-5.2 delivers higher overall intelligence and human-preferred responses (Elo 1,492 vs 1,260), while GLM-5.2 leads in SWE-bench software engineering benchmarks (69.3%), while GLM-5.2 is more budget-friendly at $1.8/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
9 direct benchmark disciplines evaluated across capability, speed, and cost
First million-token Gemini Pro. Baseline for 1.5 vs 2.5 vs 3.x Pro.
Zhipu flagship. Strong Chinese/English coding and agents.
Δ 232 Arena Elo pts
84 tok/s
$1.8 / 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 | Gemini 1.5 Pro | GLM-5.2 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +232 | ||
| Coding Elo | — | — | |
| LiveBench | +16% | ||
| SWE-bench | +31.3% | ||
| GPQA Diamond | +21.5% | ||
| Time to first token | +30 ms | ||
| Output speed | 70 tok/s | 84 tok/s | +14 tok/s |
| Input price | $1.25/1M | $0.5/1M | +$0.75/1M |
| Output price | $1.8/1M | +$3.2/1M | |
| Context window | +1.8M |
Simulate monthly production API costs in USD (US Dollar).
GLM-5.2 is estimated to save $74.25/month ($891/year).
Higher SWE-bench (69.3%).
Lower output list price ($1.8/1M).
Lower TTFT (240 ms).
Larger window (2M).
Both accept images. Defaulting to the higher-Elo side (GLM-5.2).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | GLM-5.2 | Higher SWE-bench (69.3%). |
| High-volume chat | GLM-5.2 | Lower output list price ($1.8/1M). |
| Voice / low-latency UI | Gemini 1.5 Pro | Lower TTFT (240 ms). |
| Long-document RAG | Gemini 1.5 Pro | Larger window (2M). |
| Screenshots / vision | GLM-5.2 | Both accept images. Defaulting to the higher-Elo side (GLM-5.2). |
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Verified Head-to-Head Telemetry
