DeepSeek V3.2 vs Llama 4 Maverick
List-price comparison · DeepSeek V3.2 details · Llama 4 Maverick details
For a typical workload (100,000 requests / mo), DeepSeek V3.2 costs 2% less — $41.18/mo vs $42.00/mo.
| DeepSeek V3.2 | Llama 4 Maverick | |
|---|---|---|
| Input / 1M tokens | $0.229 | $0.150 |
| Output / 1M tokens | $0.343 | $0.600 |
| Typical request (1,200 in + 400 out) | $0.0004 | $0.0004 |
| Context window | 131,072 tokens | 1,048,576 tokens |
| Max output | 64k tokens | 16,384 tokens |
| Tier | Balanced | Balanced |
| 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 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.