Llama 4 Maverick vs DeepSeek V3.2: API Pricing Comparison
Meta Llama 4 Maverick vs DeepSeek DeepSeek V3.2: token prices, batch and cache rates, Arena ELO, and cost per request for 8 business use cases. Prices in USD per 1 million tokens. Data snapshot: 2026-09-28.
Llama 4 Maverick pricing (Meta)
- Input: $0.19 per 1M tokens
- Output: $0.65 per 1M tokens
- Batch API (input/output): not published
- Prompt-cache read: not published
- Context window: 1M
- Arena ELO: 1327 (as of 2026-09-25)
- Full Llama 4 Maverick pricing page
DeepSeek V3.2 pricing (DeepSeek)
- Input: $0.28 per 1M tokens
- Output: $0.42 per 1M tokens
- Batch API (input/output): not published
- Prompt-cache read: $0.03
- Context window: 164K
- Arena ELO: 1425 (as of 2026-09-25)
- Full DeepSeek V3.2 pricing page
Cost per 1,000 requests by business use case
List price vs after discounts (prompt caching on the cached input share, batch API for async workloads, only where the provider publishes those rates).
| Use case | Tokens (in/out) | Llama 4 Maverick list price | Llama 4 Maverick after discounts | DeepSeek V3.2 list price | DeepSeek V3.2 after discounts |
|---|---|---|---|---|---|
| Support Ticket | 1,500 / 500 | $0.61 | $0.61 (no published discount) | $0.63 | $0.40 |
| Knowledge Q&A | 2,000 / 800 | $0.90 | $0.90 (no published discount) | $0.90 | $0.54 |
| Meeting Summary | 10,000 / 1,200 | $2.66 | $2.66 (no published discount) | $3.30 | $3.05 |
| Marketing Content | 2,500 / 1,800 | $1.64 | $1.64 (no published discount) | $1.46 | $1.33 |
| Coding Task | 3,000 / 2,000 | $1.87 | $1.87 (no published discount) | $1.68 | $1.30 |
| Invoice Processing | 1,500 / 600 | $0.67 | $0.67 (no published discount) | $0.67 | $0.56 |
| Call Summary | 2,000 / 700 | $0.83 | $0.83 (no published discount) | $0.85 | $0.80 |
| Agent Workflow | 6,000 / 3,000 | $3.08 | $3.08 (no published discount) | $2.94 | $1.88 |
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These are list prices: real cost also depends on caching, batching, negotiated discounts, marketplace agreements, and existing contracts. Get a FinOps review from OptimNow or compare all models.