Llama 4 Maverick vs Sonar Deep Research compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Sonar Deep Research — 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 | Sonar Deep Research | Winner |
|---|---|---|---|
| Maker | Meta | Perplexity | – |
| Type | Open-weight | Proprietary | |
| Context window | 1M tokens | 128K tokens | |
| Input price | $0.2/M · free self-host | $2/M | |
| Output price | $0.7/M · free self-host | $8/M | |
| Vision / multimodal | Yes | No | |
| Tool / function calling | Yes | No | |
| Self-hostable | Yes | No (API only) | |
| License | Llama Community | Proprietary |
Llama 4 Maverick is ~11× cheaper than Sonar Deep Research on output tokens ($0.7 vs $8 per M tokens).
| Capability | Llama 4 Maverick | Sonar Deep Research |
|---|---|---|
| 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 | Sonar Deep Research |
|---|---|---|
| Cost-efficiency | 5.0 | 3.5 |
| Context window | 5.0 | 3.5 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 5.0 | 2.0 |
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...
Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...
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 Sonar Deep Research 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. Sonar Deep Research is API-only and cannot be self-hosted.
Llama 4 Maverick costs $0.7/M output vs $8/M for Sonar Deep Research — roughly 11x 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 Sonar Deep Research if you want frontier capability through a managed API with zero infrastructure to run.
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