DeepSeek V3.2 vs Llama 3.3 70B
List-price comparison · DeepSeek V3.2 details · Llama 3.3 70B details
For a typical workload (100,000 requests / mo), Llama 3.3 70B costs 40% less — $24.80/mo vs $41.18/mo.
| DeepSeek V3.2 | Llama 3.3 70B | |
|---|---|---|
| Input / 1M tokens | $0.229 | $0.100 |
| Output / 1M tokens | $0.343 | $0.320 |
| Typical request (1,200 in + 400 out) | $0.0004 | $0.0002 |
| Context window | 131,072 tokens | 131,072 tokens |
| Max output | 64k tokens | 16,384 tokens |
| Tier | Balanced | Flash |
| Provider | DeepSeek | Meta |
Projected monthly cost
Rows open both models in the calculator — adjust volume and token counts there.
DeepSeek V3.2
Extremely competitive coding and reasoning benchmarks at a fraction of commercial-API pricing — strong default for cost-sensitive batch workloads.
Open-weight hosting means latency and uptime vary by inference provider (DeepInfra, Fireworks, etc.) — pin a provider or add fallbacks for production SLAs.
Llama 3.3 70B
Mature, well-supported open-weight model for general chat and lightweight agents — wide availability across inference providers keeps pricing competitive.
Falls behind newer flagship models on complex reasoning and coding — best suited to well-scoped, repetitive tasks.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.