Pairwise benchmark snapshot · Aug 17, 2026
This page compares Gemini 3 Pro (Google) and Z.ai: GLM 5V Turbo (Zhipu) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Gemini 3 Pro is ahead by 77 points (1,552 vs 1,475; lmarena (Aug 17, 2026)). On SWE-bench coding, Gemini 3 Pro resolves 72.4% versus 65.2% (swebench (Aug 17, 2026)). Z.ai: GLM 5V Turbo streams faster (112 tok/s) while Z.ai: GLM 5V Turbo is the cheaper output token ($4/1M). Gemini 3 Pro has the larger context window (2M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.
Google frontier multimodal model with a multi-million-token context window.
Zhipu
Z.ai: GLM 5V TurboAuto-discovered from OpenRouter (z-ai/glm-5v-turbo). Preview until a second source matches.
thinking_budgetReasoning models scale test-time compute by generating hidden chain-of-thought (CoT) tokens. These tokens are billed at standard output rates and directly expand latency (TTFT) in exchange for higher GPQA Diamond and SWE-bench Verified problem resolve rates.
Balanced reasoning for coding and multimodal comprehension.
"thinking": {
"type": "enabled",
"budget_tokens": 16384
}"reasoning": {
"effort": "medium",
"max_tokens": 2400
}Instant pairwise benchmark recalculation across 400+ LLMs
Category wins across intelligence, speed, and pricing efficiency.
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
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
77 pts advantage
20 tok/s faster
$1.00/1M cheaper
Simulate monthly production API costs in USD (US Dollar).
Z.ai: GLM 5V Turbo is estimated to save $16.75/month ($201/year).
Higher SWE-bench (72.4%).
Lower output list price ($4/1M).
Lower TTFT (180 ms).
Larger window (2M).
Both accept images. Defaulting to the higher-Elo side (Gemini 3 Pro).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Gemini 3 Pro | Higher SWE-bench (72.4%). |
| High-volume chat | Z.ai: GLM 5V Turbo | Lower output list price ($4/1M). |
| Voice / low-latency UI | Z.ai: GLM 5V Turbo | Lower TTFT (180 ms). |
| Long-document RAG | Gemini 3 Pro | Larger window (2M). |
| Screenshots / vision | Gemini 3 Pro | Both accept images. Defaulting to the higher-Elo side (Gemini 3 Pro). |
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The real PNG is generated at /compare/gemini-3-pro-vs-glm-5v-turbo/opengraph-image for crawlers.
Verified head-to-head card