Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Qwen3 Omni 30B A3B (Reasoning) | GLM-4.5-Air |
|---|---|---|
| Input ($/M tokens) | $0.25 | $0.17 |
| Output ($/M tokens) | $0.97 | $0.98 |
Verdict. GLM-4.5-Air takes the aggregate benchmark matchup 1–0 across 1 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 1.0× the per-million-token cost, Qwen3 Omni 30B A3B (Reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Qwen3 Omni 30B A3B (Reasoning) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Qwen3 Omni 30B A3B (Reasoning) is strongest on Intelligence Index (9.5). GLM-4.5-Air leads on Intelligence Index (16.7).
Speed. On throughput, Qwen3 Omni 30B A3B (Reasoning) generates tokens at 99 tok/s versus 43 tok/s — about 56% faster. On time-to-first-token, Qwen3 Omni 30B A3B (Reasoning) responds in 1920ms vs 2820ms, which matters most for chat-style UIs.
Provider. Alibaba and Z AI sell to overlapping but distinct developer audiences: Alibaba tends to ship frontier reasoning models with premium positioning, while Z AI 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): Qwen3 Omni 30B A3B (Reasoning) costs $22.05 ($265/year); GLM-4.5-Air costs $19.80 ($238/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Qwen3 Omni 30B A3B (Reasoning) ≈ $3.19/run, GLM-4.5-Air ≈ $2.81/run. At agent/realtime scale (200M input / 100M output per million requests): Qwen3 Omni 30B A3B (Reasoning) ≈ $147/run, GLM-4.5-Air ≈ $132/run. GLM-4.5-Air 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.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
GLM-4.5-Air is cheaper overall. Its blended price (3:1 input/output ratio) is $0.37/M tokens vs $0.43/M for Qwen3 Omni 30B A3B (Reasoning).
GLM-4.5-Air wins 1 out of 12 benchmarks compared to 0 for Qwen3 Omni 30B A3B (Reasoning). See the detailed benchmark chart above for per-category results.
Qwen3 Omni 30B A3B (Reasoning) generates tokens faster at 99 tok/s vs 43 tok/s. Qwen3 Omni 30B A3B (Reasoning) also has lower time-to-first-token (1.92s vs 2.82s).
Choose based on your priorities: GLM-4.5-Air for lower cost, GLM-4.5-Air for stronger benchmark performance, and Qwen3 Omni 30B A3B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.