DeepSeek R1 vs Llama 3.3 70B
List-price comparison · DeepSeek R1 details · Llama 3.3 70B details
For a typical workload (100,000 requests / mo), Llama 3.3 70B costs 83% less — $24.80/mo vs $146.00/mo.
| DeepSeek R1 | Llama 3.3 70B | |
|---|---|---|
| Input / 1M tokens | $0.500 | $0.100 |
| Output / 1M tokens | $2.15 | $0.320 |
| Typical request (1,200 in + 400 out) | $0.0015 | $0.0002 |
| Context window | 163,840 tokens | 131,072 tokens |
| Max output | 32,768 tokens | 16,384 tokens |
| Tier | Flagship | Flash |
| Provider | DeepSeek | Meta |
Projected monthly cost
Rows open both models in the calculator — adjust volume and token counts there.
DeepSeek R1
Chain-of-thought reasoning competitive with closed flagship models on math and logic benchmarks, at open-weight pricing.
Emits long reasoning traces that inflate output token counts and cost — cap reasoning length or use a distilled variant for latency-sensitive paths.
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.