Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Llama 3.3 Instruct 70B | Qwen3 VL 8B Instruct |
|---|---|---|
| Input ($/M tokens) | $0.66 | $0.18 |
| Output ($/M tokens) | $0.72 | $0.7 |
Verdict. Llama 3.3 Instruct 70B wins the overall benchmark matchup 2–0 across 2 overlapping categories, but raw benchmark score is only one input to the decision.
Pricing. Both models sit in the budget bracket for output-token pricing. At 1.0× the per-million-token cost, Qwen3 VL 8B Instruct is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Qwen3 VL 8B Instruct makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Llama 3.3 Instruct 70B is strongest on Coding Index (11.9), Intelligence Index (7.7). Qwen3 VL 8B Instruct leads on Intelligence Index (7.3).
Speed. On throughput, Qwen3 VL 8B Instruct generates tokens at 121 tok/s versus 87 tok/s — about 28% faster. On time-to-first-token, Llama 3.3 Instruct 70B responds in 1640ms vs 2210ms, which matters most for chat-style UIs.
Provider. Meta and Alibaba sell to overlapping but distinct developer audiences: Meta 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): Llama 3.3 Instruct 70B costs $30.60 ($367/year); Qwen3 VL 8B Instruct costs $15.90 ($191/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Llama 3.3 Instruct 70B ≈ $4.74/run, Qwen3 VL 8B Instruct ≈ $2.30/run. At agent/realtime scale (200M input / 100M output per million requests): Llama 3.3 Instruct 70B ≈ $204/run, Qwen3 VL 8B Instruct ≈ $106/run. Qwen3 VL 8B Instruct 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 VL 8B Instruct is cheaper overall. Its blended price (3:1 input/output ratio) is $0.31/M tokens vs $0.68/M for Llama 3.3 Instruct 70B.
Llama 3.3 Instruct 70B 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 121 tok/s vs 87 tok/s. Llama 3.3 Instruct 70B also has lower time-to-first-token (1.64s vs 2.21s).
Choose based on your priorities: Qwen3 VL 8B Instruct for lower cost, Llama 3.3 Instruct 70B for stronger benchmark performance, and Qwen3 VL 8B Instruct for faster generation. For latency-sensitive apps, check the TTFT comparison above.