Sonar Deep Research vs GPT-3.5 Turbo 16k compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
Sonar Deep Research — full profile › · GPT-3.5 Turbo 16k — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | Sonar Deep Research | GPT-3.5 Turbo 16k | Winner |
|---|---|---|---|
| Maker | Perplexity | OpenAI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 128K tokens | 16K tokens | |
| Input price | $2/M | $3/M | |
| Output price | $8/M | $4/M | |
| Vision / multimodal | No | No | – |
| Tool / function calling | No | Yes | |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
GPT-3.5 Turbo 16k is ~2.0× cheaper than Sonar Deep Research on output tokens ($4 vs $8 per M tokens).
| Capability | Sonar Deep Research | GPT-3.5 Turbo 16k |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✗ | ✓ |
| 1M+ context window | ✗ | ✗ |
| Criterion | Sonar Deep Research | GPT-3.5 Turbo 16k |
|---|---|---|
| Cost-efficiency | 3.5 | 4.0 |
| Context window | 3.5 | 2.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 2.0 | 3.5 |
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.
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...
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
GPT-3.5 Turbo 16k is cheaper on output ($4/M vs $8/M).
Sonar Deep Research offers the larger context window (128K tokens).
Choose GPT-3.5 Turbo 16k for the lower output price ($4/M vs $8/M). Choose Sonar Deep Research if you need the larger 128K context window.
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