Skip to main content

GPT-5.5 vs Sonar Deep Research: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for GPT-5.5 (OpenAI) and Sonar Deep Research (Perplexity). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Apr 30, 2026

Interactive Cost Calculator

OpenAIGPT-5.5PerplexitySonar Deep Research

Fills in typical token counts for a workload type

Tokens in each prompt sent to the model

Tokens generated in each response

Total API calls per month

Showing costs for 2 models. Cheapest: Sonar Deep Research at $60.00/month.

Cheapest: Sonar Deep Research at $60.00/mo — save 70.0% vs GPT-5.5
Alert
BestSonar Deep Research
Perplexity$60.00$0.006000$20.00$40.0070.0%Alerts coming soon
GPT-5.5
OpenAI$200.00$0.020000$50.00$150.00Alerts 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 TypeGPT-5.5Sonar Deep ResearchCheaper
Input (standard)$5.00/M$2.00/MSonar Deep Research
Output$30.00/M$8.00/MSonar Deep Research

Prices last verified: 2026-03-10 – 2026-04-30

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.

VolumeGPT-5.5MonthlySonar Deep ResearchMonthlyGPT-5.5Per requestSonar Deep ResearchPer request
1K requests/mo$20.00$6.00$0.020000$0.006000
10K requests/mo$200.00$60.00$0.020000$0.006000
100K requests/mo$2,000.00$600.00$0.020000$0.006000
1M requests/mo$20,000.00$6,000.00$0.020000$0.006000

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 tokens

When to Choose GPT-5.5

by OpenAI

  • General chatbot

Input / 1M tokens

$5.00/M

Output / 1M tokens

$30.00/M

Context window

1,050,000

Tier

premium

When 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

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.

CapabilityGPT-5.5Sonar Deep Research
Context window1,050,000 tokens127,072 tokens
Max output tokens128,000 tokens8,192 tokens
Performance tierPremiumReasoning
Vision / image inputYesNo
Function callingYesNo
JSON modeYesNo
Prompt cachingNoNo
Batch API (50% discount)NoNo
Extended reasoningYesYes
Fine-tuningNoNo

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.

Frequently Asked Questions

Is GPT-5.5 cheaper than Sonar Deep Research?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Sonar Deep Research costs $600.00/month versus $2,000.00/month for GPT-5.5 — a 70% 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, GPT-5.5 or Sonar Deep Research?

GPT-5.5 has a larger context window at 1,050,000 tokens, compared to 127,072 tokens for Sonar Deep Research. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do GPT-5.5 and Sonar Deep Research support the Batch API?

Neither GPT-5.5 nor Sonar Deep Research 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 GPT-5.5 nor Sonar Deep Research 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 GPT-5.5 vs Sonar Deep Research?

GPT-5.5 is best suited for General chatbot, while Sonar Deep Research is optimized for RAG / Semantic search, Document summarization. Choose based on which use case matches your primary workload — and validate with the cost calculator above to confirm the total monthly spend fits your budget.

What is the cost per request for GPT-5.5 vs Sonar Deep Research?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — GPT-5.5 costs $0.020000 per request and Sonar Deep Research costs $0.006000 per request. At 100,000 requests/month, that translates to $2,000.00 and $600.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

GPT-5.5 vs Sonar Deep Research: Summary

When comparing GPT-5.5 and Sonar Deep Research for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Sonar Deep Research offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $600.00/month, compared to $2,000.00/month for GPT-5.5.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. GPT-5.5 charges $5.00/M for input tokens and $30.00/M for output tokens. Sonar Deep Research charges $2.00/M input and $8.00/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: GPT-5.5 supports up to 1,050,000 tokens in a single request, versus 127,072 tokens for Sonar Deep Research. 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.

Explore other model comparisons from the same providers or performance tiers.

Related Provider Pages

View complete pricing tables and model lineups for the providers behind these models.

Relevant Use Cases

See cost recommendations for workloads where GPT-5.5 or Sonar Deep Research is recommended.