Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Qwen3.5 Omni Plus | GPT-5.4 mini (xhigh) |
|---|---|---|
| Input ($/M tokens) | $0.4 | $0.75 |
| Output ($/M tokens) | $4.8 | $4.5 |
Verdict. GPT-5.4 mini (xhigh) 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 mid-tier bracket for output-token pricing. At 1.1× the per-million-token cost, GPT-5.4 mini (xhigh) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). GPT-5.4 mini (xhigh) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Qwen3.5 Omni Plus is strongest on Intelligence Index (20.4). GPT-5.4 mini (xhigh) leads on Coding Index (56.1), Intelligence Index (24.6).
Speed. On throughput, GPT-5.4 mini (xhigh) generates tokens at 234 tok/s versus 99 tok/s — about 58% faster. On time-to-first-token, Qwen3.5 Omni Plus responds in 2140ms vs 131610ms, which matters most for chat-style UIs.
Provider. Alibaba and OpenAI sell to overlapping but distinct developer audiences: Alibaba tends to ship frontier reasoning models with premium positioning, while OpenAI 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): Qwen3.5 Omni Plus costs $84.00 ($1008/year); GPT-5.4 mini (xhigh) costs $90.00 ($1080/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Qwen3.5 Omni Plus ≈ $11.60/run, GPT-5.4 mini (xhigh) ≈ $12.75/run. At agent/realtime scale (200M input / 100M output per million requests): Qwen3.5 Omni Plus ≈ $560/run, GPT-5.4 mini (xhigh) ≈ $600/run. Qwen3.5 Omni Plus 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
Qwen3.5 Omni Plus is cheaper overall. Its blended price (3:1 input/output ratio) is $1.50/M tokens vs $1.69/M for GPT-5.4 mini (xhigh).
GPT-5.4 mini (xhigh) wins 2 out of 12 benchmarks compared to 0 for Qwen3.5 Omni Plus. See the detailed benchmark chart above for per-category results.
GPT-5.4 mini (xhigh) generates tokens faster at 234 tok/s vs 99 tok/s. Qwen3.5 Omni Plus also has lower time-to-first-token (2.14s vs 131.61s).
Choose based on your priorities: Qwen3.5 Omni Plus for lower cost, GPT-5.4 mini (xhigh) for stronger benchmark performance, and GPT-5.4 mini (xhigh) for faster generation. For latency-sensitive apps, check the TTFT comparison above.