Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
In this head-to-head showdown, Z.ai: GLM 4.6V is more budget-friendly at $0.9/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
Auto-discovered from OpenRouter (z-ai/glm-4.6v). Preview until a second source matches.
Single model data
No latency data
$0.8999999999999999 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
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 | Z.ai: GLM 4.6V | Qwen 3 Max | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| Coding Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | — | 80 tok/s | — |
| Input price | $0.3/1M | $0.78/1M | Z.ai: GLM 4.6V (+$0.48/1M) |
| Output price | $0.9/1M | $3.9/1M | Z.ai: GLM 4.6V (+$3/1M) |
| Context window | Qwen 3 Max (+131k) |
Simulate monthly production API costs in USD (US Dollar).
Z.ai: GLM 4.6V is estimated to save $61.80/month ($742/year).
Need SWE-bench on both sides.
Lower output list price ($0.9/1M).
Need TTFT on both sides.
Larger window (262k).
Qwen 3 Max is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | Z.ai: GLM 4.6V | Lower output list price ($0.9/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | Qwen 3 Max | Larger window (262k). |
| Screenshots / vision | Qwen 3 Max | Qwen 3 Max is the side marked multimodal in the catalog. |
Closed flagship. Strong math. Compare to Sol and Opus on GPQA and SWE-bench, not on brand heat.
Sep 2025 open-weight mixture-of-experts. Self-host path. Don’t confuse it with Qwen 3 Max.
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The real PNG is generated at /compare/glm-4-6v-vs-qwen-3-max/opengraph-image for crawlers.
Verified head-to-head card
