Sonar Deep Research vs Sonar: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Sonar Deep Research (Perplexity) and Sonar (Perplexity). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Mar 10, 2026
Interactive Cost Calculator
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Showing costs for 2 models. Cheapest: Sonar at $15.00/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestSonar | Perplexity | $15.00 | $0.001500 | $10.00 | $5.00 | 75.0% | Alerts coming soon |
Sonar Deep Research | Perplexity | $60.00 | $0.006000 | $20.00 | $40.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Sonar Deep Research | Sonar | Cheaper |
|---|---|---|---|
| Input (standard) | $2.00/M | $1.00/M | Sonar |
| Output | $8.00/M | $1.00/M | Sonar |
Prices last verified: 2026-03-10
Cost Breakdown by Usage Volume
Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.
| Volume | Sonar Deep ResearchMonthly | SonarMonthly | Sonar Deep ResearchPer request | SonarPer request |
|---|---|---|---|---|
| 1K requests/mo | $6.00 | $1.50 | $0.006000 | $0.001500 |
| 10K requests/mo | $60.00 | $15.00 | $0.006000 | $0.001500 |
| 100K requests/mo | $600.00 | $150.00 | $0.006000 | $0.001500 |
| 1M requests/mo | $6,000.00 | $1,500.00 | $0.006000 | $0.001500 |
Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.
Price History
Input price per 1M tokensWhen to Choose Sonar Deep Research
by Perplexity
- RAG / Semantic search
- Document summarization
Input / 1M tokens
$2.00/M
Output / 1M tokens
$8.00/M
Context window
127,072
Tier
reasoning
When to Choose Sonar
by Perplexity
- RAG / Semantic search
- General chatbot
Input / 1M tokens
$1.00/M
Output / 1M tokens
$1.00/M
Context window
127,072
Tier
budget
Key Differences Beyond Price
Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.
| Capability | Sonar Deep Research | Sonar |
|---|---|---|
| Context window | 127,072 tokens | 127,072 tokens |
| Max output tokens | 8,192 tokens | 8,192 tokens |
| Performance tier | Reasoning | Budget |
| Vision / image input | No | No |
| Function calling | No | No |
| JSON mode | No | No |
| Prompt caching | No | No |
| Batch API (50% discount) | No | No |
| Extended reasoning | Yes | No |
| Fine-tuning | No | No |
Sonar Deep Research notes
Additional fees: $2/1M citation tokens, $3/1M reasoning tokens, $5 per 1,000 search queries. Designed for exhaustive research tasks.
Sonar notes
Search pricing: $5-$12 per 1,000 requests depending on context size. Includes grounded real-time web search in every response.
Frequently Asked Questions
Is Sonar Deep Research cheaper than Sonar?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Sonar costs $150.00/month versus $600.00/month for Sonar Deep Research — a 75% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.
Which model has a larger context window, Sonar Deep Research or Sonar?
Both Sonar Deep Research and Sonar have the same context window: 127,072 tokens.
Do Sonar Deep Research and Sonar support the Batch API?
Neither Sonar Deep Research nor Sonar currently supports a batch API with discounted pricing. For batch-eligible alternatives, consider models from OpenAI, Anthropic, or Google that include batch API support.
Which model offers better prompt caching?
Neither Sonar Deep Research nor Sonar currently supports prompt caching. For prompt-caching capable alternatives, consider Claude models from Anthropic or GPT-4o from OpenAI.
What are the best use cases for Sonar Deep Research vs Sonar?
Both models are well-suited for RAG / Semantic search. Sonar Deep Research is particularly strong for Document summarization. Sonar is favored for General chatbot. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.
What is the cost per request for Sonar Deep Research vs Sonar?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Sonar Deep Research costs $0.006000 per request and Sonar costs $0.001500 per request. At 100,000 requests/month, that translates to $600.00 and $150.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Sonar Deep Research vs Sonar: Summary
When comparing Sonar Deep Research and Sonar for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Sonar offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $150.00/month, compared to $600.00/month for Sonar Deep Research.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Sonar Deep Research charges $2.00/M for input tokens and $8.00/M for output tokens. Sonar charges $1.00/M input and $1.00/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.
Context window capacity differs between the two: Both models support 127,072 tokens per request. A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.
Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.
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