Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Llama 3.2 Instruct 11B (Vision) | Step 3.5 Flash 2603 |
|---|---|---|
| Input ($/M tokens) | $0.34 | $0.1 |
| Output ($/M tokens) | $0.34 | $0.3 |
Verdict. Step 3.5 Flash 2603 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 1.1× the per-million-token cost, Step 3.5 Flash 2603 is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Step 3.5 Flash 2603 makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Llama 3.2 Instruct 11B (Vision) is strongest on Intelligence Index (5.4). Step 3.5 Flash 2603 leads on Intelligence Index (17.0).
Speed. On throughput, Step 3.5 Flash 2603 generates tokens at 146 tok/s versus 22 tok/s — about 85% faster. On time-to-first-token, Llama 3.2 Instruct 11B (Vision) responds in 1270ms vs 3550ms, which matters most for chat-style UIs.
Provider. Meta and StepFun sell to overlapping but distinct developer audiences: Meta tends to ship frontier reasoning models with premium positioning, while StepFun 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 3.2 Instruct 11B (Vision) costs $15.30 ($184/year); Step 3.5 Flash 2603 costs $7.50 ($90/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Llama 3.2 Instruct 11B (Vision) ≈ $2.38/run, Step 3.5 Flash 2603 ≈ $1.10/run. At agent/realtime scale (200M input / 100M output per million requests): Llama 3.2 Instruct 11B (Vision) ≈ $102/run, Step 3.5 Flash 2603 ≈ $50/run. Step 3.5 Flash 2603 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
Step 3.5 Flash 2603 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.15/M tokens vs $0.34/M for Llama 3.2 Instruct 11B (Vision).
Step 3.5 Flash 2603 wins 1 out of 12 benchmarks compared to 0 for Llama 3.2 Instruct 11B (Vision). See the detailed benchmark chart above for per-category results.
Step 3.5 Flash 2603 generates tokens faster at 146 tok/s vs 22 tok/s. Llama 3.2 Instruct 11B (Vision) also has lower time-to-first-token (1.27s vs 3.55s).
Choose based on your priorities: Step 3.5 Flash 2603 for lower cost, Step 3.5 Flash 2603 for stronger benchmark performance, and Step 3.5 Flash 2603 for faster generation. For latency-sensitive apps, check the TTFT comparison above.