Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Nova Pro | Qwen3.5 122B A10B (Reasoning) |
|---|---|---|
| Input ($/M tokens) | $0.8 | $0.4 |
| Output ($/M tokens) | $3.2 | $3.2 |
Verdict. Qwen3.5 122B A10B (Reasoning) 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 1.0× the per-million-token cost, Qwen3.5 122B A10B (Reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Qwen3.5 122B A10B (Reasoning) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Nova Pro is strongest on Intelligence Index (7.5). Qwen3.5 122B A10B (Reasoning) leads on Coding Index (45.7), Intelligence Index (32.8).
Speed. Speed data is incomplete for this pair; benchmark and price should decide.
Provider. Amazon and Alibaba sell to overlapping but distinct developer audiences: Amazon tends to ship frontier reasoning models with premium positioning, while Alibaba 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): Nova Pro costs $72.00 ($864/year); Qwen3.5 122B A10B (Reasoning) costs $60.00 ($720/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Nova Pro ≈ $10.40/run, Qwen3.5 122B A10B (Reasoning) ≈ $8.40/run. At agent/realtime scale (200M input / 100M output per million requests): Nova Pro ≈ $480/run, Qwen3.5 122B A10B (Reasoning) ≈ $400/run. Qwen3.5 122B A10B (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
Qwen3.5 122B A10B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.10/M tokens vs $1.40/M for Nova Pro.
Qwen3.5 122B A10B (Reasoning) wins 2 out of 12 benchmarks compared to 0 for Nova Pro. See the detailed benchmark chart above for per-category results.
Qwen3.5 122B A10B (Reasoning) generates tokens faster at 130 tok/s vs — tok/s. However, Qwen3.5 122B A10B (Reasoning) has lower time-to-first-token (2.33s vs —s).
Choose based on your priorities: Qwen3.5 122B A10B (Reasoning) for lower cost, Qwen3.5 122B A10B (Reasoning) for stronger benchmark performance, and Qwen3.5 122B A10B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.