DeepSeek: DeepSeek V3.2 Exp vs Meta: Llama 4 Maverick
Head-to-head API pricing and cost comparison between DeepSeek’s DeepSeek: DeepSeek V3.2 Exp and Meta’s Meta: Llama 4 Maverick. Prices auto-refresh daily from OpenRouter.
Meta: Llama 4 Maverick is 44% cheaper for input tokens; DeepSeek: DeepSeek V3.2 Exp wins on output tokens at $0.41/1M.
Side-by-side comparison
| Spec | DeepSeek: DeepSeek V3.2 Exp | Meta: Llama 4 Maverick |
|---|---|---|
| Input price (per 1M) | $0.27 | $0.15 |
| Cached input (per 1M) | — | — |
| Output price (per 1M) | $0.41 | $0.60 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | — | — |
| Context window | 164K | 1049K |
| Vision support | No | Yes |
| Caching support | No | No |
| Batch API | No | No |
| Reasoning capability | No | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | DeepSeek: DeepSeek V3.2 Exp | Meta: Llama 4 Maverick | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $6.51 | $5.85 | $0.66 Meta: Llama 4 Maverick wins |
10K req/day 1500in / 500out tokens | $183.00 | $157.50 | $25.50 Meta: Llama 4 Maverick wins |
100K req/day 3000in / 800out tokens | $3,414 | $2,790 | $624.00 Meta: Llama 4 Maverick wins |
1M req/day 8000in / 2000out tokens | $89,400 | $72,000 | $17,400 Meta: Llama 4 Maverick wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, DeepSeek: DeepSeek V3.2 Exp or Meta: Llama 4 Maverick?
For input tokens, Meta: Llama 4 Maverick is roughly 44% cheaper at $0.15/1M vs $0.27/1M. For output tokens, DeepSeek: DeepSeek V3.2 Exp wins at $0.41/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
DeepSeek: DeepSeek V3.2 Exp has a context window of 164K tokens. Meta: Llama 4 Maverick offers 1049K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.
Should I use DeepSeek: DeepSeek V3.2 Exp or Meta: Llama 4 Maverick?
Choose DeepSeek: DeepSeek V3.2 Exp if you’re already on the DeepSeek stack, want broad ecosystem support, or prefer its lower output price. Choose Meta: Llama 4 Maverick for Meta’s ecosystem, native vision input, or its cheaper input tokens. Run a small benchmark on your own prompts before committing — price is only one axis.
How are these prices kept current?
Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: Apr 21, 2026.