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 is the cheapest — 7% less than the priciest here ($48.28/mo vs $51.84/mo).
| DeepSeek V3.2 | Llama 4 Maverick | |
|---|---|---|
| Input / 1M tokens | $0.269 | $0.200 |
| Output / 1M tokens | $0.400 | $0.696 |
| Typical request (1,200 in + 400 out) | $0.0005 | $0.0005 |
| Context window | 163,840 tokens | 1,048,576 tokens |
| Max output | 65,536 tokens | 115,200 tokens |
| Quality score | 79/100 | 74/100 |
| Tier | Balanced | Balanced |
| Provider | DeepSeek | Meta |
Projected monthly cost
| Requests / mo | DeepSeek V3.2 | Llama 4 Maverick |
|---|---|---|
| 1,000 | $0.4828 | $0.5184 |
| 10,000 | $4.83 | $5.18 |
| 100,000 | $48.28 | $51.84 |
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.