Meta: Llama 4 Maverick vs OpenAI: o3 Deep Research
Head-to-head API pricing and cost comparison between Meta’s Meta: Llama 4 Maverick and OpenAI’s OpenAI: o3 Deep Research. Prices auto-refresh daily from OpenRouter.
Meta: Llama 4 Maverick is 99% cheaper for input tokens; Meta: Llama 4 Maverick also wins on output tokens.
Side-by-side comparison
| Spec | Meta: Llama 4 Maverick | OpenAI: o3 Deep Research |
|---|---|---|
| Input price (per 1M) | $0.15 | $10.00 |
| Cached input (per 1M) | — | $2.50 |
| Output price (per 1M) | $0.60 | $40.00 |
| Batch input (per 1M) | — | $5.00 |
| Batch output (per 1M) | — | $20.00 |
| Reasoning price (per 1M) | — | — |
| Context window | 1049K | 200K |
| Vision support | Yes | Yes |
| Caching support | No | Yes |
| Batch API | No | Yes |
| Reasoning capability | No | Yes |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | Meta: Llama 4 Maverick | OpenAI: o3 Deep Research | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $5.85 | $390.00 | $384.15 Meta: Llama 4 Maverick wins |
10K req/day 1500in / 500out tokens | $157.50 | $10,500 | $10,343 Meta: Llama 4 Maverick wins |
100K req/day 3000in / 800out tokens | $2,790 | $186,000 | $183,210 Meta: Llama 4 Maverick wins |
1M req/day 8000in / 2000out tokens | $72,000 | $4,800,000 | $4,728,000 Meta: Llama 4 Maverick wins |
Adjust input/output token counts, request volume, batch & cached pricing.
Related comparisons
Frequently asked questions
Which is cheaper, Meta: Llama 4 Maverick or OpenAI: o3 Deep Research?
For input tokens, Meta: Llama 4 Maverick is roughly 99% cheaper at $0.15/1M vs $10.00/1M. For output tokens, Meta: Llama 4 Maverick wins at $0.60/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
Meta: Llama 4 Maverick has a context window of 1049K tokens. OpenAI: o3 Deep Research offers 200K 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 Meta: Llama 4 Maverick or OpenAI: o3 Deep Research?
Choose Meta: Llama 4 Maverick if you’re already on the Meta stack, want broad ecosystem support, or prefer its lower input price. Choose OpenAI: o3 Deep Research for OpenAI’s ecosystem, native vision input, or its differentiated capabilities. 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: May 28, 2026.