Pairwise benchmark snapshot · Aug 17, 2026
In this head-to-head showdown, GLM-5.2 delivers higher overall intelligence and human-preferred responses (Elo 1,492 vs 1,465), while GLM-5.2 leads in SWE-bench software engineering benchmarks (69.3%), while MoonshotAI: Kimi K2 0711 is more budget-friendly at $2.3/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
10 benchmarks evaluated across capability, speed, and cost
Zhipu flagship. Strong Chinese/English coding and agents.
Auto-discovered from OpenRouter (moonshotai/kimi-k2). Preview until a second source matches.
Currently comparing GLM-5.2 vs MoonshotAI: Kimi K2 0711. Alternative family tiers available.
Δ 27 Arena Elo pts
85 tok/s
$2.3 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top standard models across 6 key capability 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-5.2 | MoonshotAI: Kimi K2 0711 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +27 | ||
| Coding Elo | +34 | ||
| LiveBench | +2.4% | ||
| SWE-bench | +3.5% | ||
| GPQA Diamond | +3% | ||
| Time to first token | +30 ms | ||
| Output speed | 84 tok/s | 85 tok/s | +1 tok/s |
| Input price | $1.19/1M | $0.57/1M | +$0.62/1M |
| Output price | $3.74/1M | $2.3/1M | +$1.44/1M |
| Context window | +918k |
Simulate monthly production API costs in USD (US Dollar).
MoonshotAI: Kimi K2 0711 is estimated to save $43.30/month ($520/year).
Higher SWE-bench (69.3%).
Lower output list price ($2.3/1M).
Lower TTFT (240 ms).
Larger window (1M).
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 | MoonshotAI: Kimi K2 0711 | Lower output list price ($2.3/1M). |
| Voice / low-latency UI | MoonshotAI: Kimi K2 0711 | Lower TTFT (240 ms). |
| Long-document RAG | GLM-5.2 | Larger window (1M). |
| Screenshots / vision | GLM-5.2 | Both accept images. Defaulting to the higher-Elo side (GLM-5.2). |
GLM-5.2 undercuts GLM 5V Turbo by 74.2% on input at $0.31/1M, with 1,492 Elo and 69.3% SWE-bench in dated 2026 snapshots.
Strong Chinese/English coding. 5.3 is the new row; 5.2 stays so the delta is visible.
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