Pairwise benchmark snapshot · Aug 16, 2026
In this head-to-head showdown, GLM-5V Turbo delivers higher overall intelligence and human-preferred responses (Elo 1,475 vs 1,466), while GLM-5V Turbo leads in SWE-bench software engineering benchmarks (65.2%), while GLM-5V Turbo is more budget-friendly at $0.6/1M per 1M output tokens, while GPT-5.6 Luna provides faster response streaming (188 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.
OpenAI 5.6 fast/cheap tier. Official API $0.20/$1.20 per 1M after the Jul 30 80% Luna cut.
Currently comparing GLM-5V Turbo vs GPT-5.6 Luna. Alternative family tiers available.
Δ 9 Arena Elo pts
188 tok/s
$0.6 / 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 | GPT-5.6 Luna | Advantage Delta |
|---|---|---|---|
| Preference Elo | +9 | ||
| Coding Elo | +24 | ||
| LiveBench | +0.4% | ||
| SWE-bench | +3.4% | ||
| GPQA Diamond | +2% | ||
| Time to first token | +92 ms | ||
| Output speed | 112 tok/s | 188 tok/s | +76 tok/s |
| Input price | $0.15/1M | +$0.05/1M | |
| Output price | $0.6/1M | +$0.6/1M | |
| Context window | +872k |
Simulate monthly production API costs in USD (US Dollar).
GLM-5V Turbo is estimated to save $10.75/month ($129/year).
Higher SWE-bench (65.2%).
Lower output list price ($0.6/1M).
Lower TTFT (88 ms).
Larger window (1M).
Both accept images. Defaulting to the higher-Elo side (GLM-5V Turbo).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | GLM-5V Turbo | Higher SWE-bench (65.2%). |
| High-volume chat | GLM-5V Turbo | Lower output list price ($0.6/1M). |
| Voice / low-latency UI | GPT-5.6 Luna | Lower TTFT (88 ms). |
| Long-document RAG | GPT-5.6 Luna | Larger window (1M). |
| Screenshots / vision | GLM-5V Turbo | Both accept images. Defaulting to the higher-Elo side (GLM-5V Turbo). |
Luna is the OpenAI fast/cheap 5.6 SKU after Jul 30. It is not Sol. Sort by price and TTFT, not Elo.
High-volume agents that cannot pay Sol. Compare to Luna before you assume the new cheap SKU wins.
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Verified Head-to-Head Telemetry
