Llama 4 Maverick vs Nova Premier 1.0 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Nova Premier 1.0 — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | Llama 4 Maverick | Nova Premier 1.0 | Winner |
|---|---|---|---|
| Maker | Meta | Amazon | – |
| Type | Open-weight | Proprietary | |
| Context window | 1M tokens | 1M tokens | |
| Input price | $0.2/M · free self-host | $2.5/M | |
| Output price | $0.7/M · free self-host | $12.5/M | |
| Vision / multimodal | Yes | Yes | = Tie |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | |
| License | Llama Community | Proprietary |
Llama 4 Maverick is ~18× cheaper than Nova Premier 1.0 on output tokens ($0.7 vs $12.5 per M tokens).
| Capability | Llama 4 Maverick | Nova Premier 1.0 |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✓ |
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
| Criterion | Llama 4 Maverick | Nova Premier 1.0 |
|---|---|---|
| Cost-efficiency | 5.0 | 3.5 |
| Context window | 5.0 | 5.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 5.0 | 5.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Llama 4 Maverick is open-weight and competitive on many tasks, but Nova Premier 1.0 may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Yes. Llama 4 Maverick has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Nova Premier 1.0 is API-only and cannot be self-hosted.
Llama 4 Maverick costs $0.7/M output vs $12.5/M for Nova Premier 1.0 — roughly 18x cheaper via API, and free if you self-host.
Choose Llama 4 Maverick if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Nova Premier 1.0 if you want frontier capability through a managed API with zero infrastructure to run.
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