Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | GLM-4.5V (Non-reasoning) | Grok Build 0.1 0616 |
|---|---|---|
| Input ($/M tokens) | $0.6 | $1 |
| Output ($/M tokens) | $1.8 | $2 |
Verdict. Grok Build 0.1 0616 takes the aggregate benchmark matchup 2–0 across 2 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.
Pricing. Both models sit in the budget bracket for output-token pricing. At 0.9× the per-million-token cost, GLM-4.5V (Non-reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). GLM-4.5V (Non-reasoning) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. GLM-4.5V (Non-reasoning) is strongest on Intelligence Index (6.7). Grok Build 0.1 0616 leads on Coding Index (51.5), Intelligence Index (27.2).
Speed. On throughput, Grok Build 0.1 0616 generates tokens at 59 tok/s versus 42 tok/s — about 30% faster. On time-to-first-token, Grok Build 0.1 0616 responds in 600ms vs 2740ms, which matters most for chat-style UIs.
Provider. Z AI and SpaceXAI sell to overlapping but distinct developer audiences: Z AI tends to ship frontier reasoning models with premium positioning, while SpaceXAI often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): GLM-4.5V (Non-reasoning) costs $45.00 ($540/year); Grok Build 0.1 0616 costs $60.00 ($720/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): GLM-4.5V (Non-reasoning) ≈ $6.60/run, Grok Build 0.1 0616 ≈ $9.00/run. At agent/realtime scale (200M input / 100M output per million requests): GLM-4.5V (Non-reasoning) ≈ $300/run, Grok Build 0.1 0616 ≈ $400/run. GLM-4.5V (Non-reasoning) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Data from Artificial Analysis API — 12 benchmarks
GLM-4.5V (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.90/M tokens vs $1.25/M for Grok Build 0.1 0616.
Grok Build 0.1 0616 wins 2 out of 12 benchmarks compared to 0 for GLM-4.5V (Non-reasoning). See the detailed benchmark chart above for per-category results.
Grok Build 0.1 0616 generates tokens faster at 59 tok/s vs 42 tok/s. However, Grok Build 0.1 0616 has lower time-to-first-token (0.60s vs 2.74s).
Choose based on your priorities: GLM-4.5V (Non-reasoning) for lower cost, Grok Build 0.1 0616 for stronger benchmark performance, and Grok Build 0.1 0616 for faster generation. For latency-sensitive apps, check the TTFT comparison above.