Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Qwen3 VL 8B Instruct | Llama 4 Scout |
|---|---|---|
| Input ($/M tokens) | $0.18 | $0.18 |
| Output ($/M tokens) | $0.7 | $0.66 |
Verdict. Llama 4 Scout 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 1.1× the per-million-token cost, Llama 4 Scout is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Llama 4 Scout makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Qwen3 VL 8B Instruct is strongest on Intelligence Index (8.2). Llama 4 Scout leads on Intelligence Index (10.3), Coding Index (8.2).
Speed. Throughput is comparable — 112 tok/s vs 94 tok/s — so generation speed shouldn't drive your choice here. Look at the per-benchmark wins instead.
Provider. Alibaba and Meta sell to overlapping but distinct developer audiences: Alibaba tends to ship frontier reasoning models with premium positioning, while Meta 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 VL 8B Instruct costs $15.90 ($191/year); Llama 4 Scout costs $15.30 ($184/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Qwen3 VL 8B Instruct ≈ $2.30/run, Llama 4 Scout ≈ $2.22/run. At agent/realtime scale (200M input / 100M output per million requests): Qwen3 VL 8B Instruct ≈ $106/run, Llama 4 Scout ≈ $102/run. Llama 4 Scout 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
Llama 4 Scout is cheaper overall. Its blended price (3:1 input/output ratio) is $0.30/M tokens vs $0.31/M for Qwen3 VL 8B Instruct.
Llama 4 Scout wins 2 out of 12 benchmarks compared to 0 for Qwen3 VL 8B Instruct. See the detailed benchmark chart above for per-category results.
Qwen3 VL 8B Instruct generates tokens faster at 112 tok/s vs 94 tok/s. However, Llama 4 Scout has lower time-to-first-token (0.82s vs 2.22s).
Choose based on your priorities: Llama 4 Scout for lower cost, Llama 4 Scout for stronger benchmark performance, and Qwen3 VL 8B Instruct for faster generation. For latency-sensitive apps, check the TTFT comparison above.