DeepSeek R1 vs Llama 4 Maverick
List-price comparison · DeepSeek R1 details · Llama 4 Maverick details
For a typical workload (100,000 requests / mo), Llama 4 Maverick costs 71% less — $42.00/mo vs $146.00/mo.
| DeepSeek R1 | Llama 4 Maverick | |
|---|---|---|
| Input / 1M tokens | $0.500 | $0.150 |
| Output / 1M tokens | $2.15 | $0.600 |
| Typical request (1,200 in + 400 out) | $0.0015 | $0.0004 |
| Context window | 163,840 tokens | 1,048,576 tokens |
| Max output | 32,768 tokens | 16,384 tokens |
| Tier | Flagship | Balanced |
| 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 4 Maverick
Strong multi-modal (text + image) open-weight model with a 1M-token context window — good for self-hosted or fine-tuned deployments.
Smaller completion-token cap (16K) than newer commercial models limits very long single-turn outputs — chunk long generations.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.