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GPT-5 vs Sonar Pro: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for GPT-5 (OpenAI) and Sonar Pro (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

OpenAIGPT-5PerplexitySonar Pro

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: GPT-5 at $62.50/month.

Cheapest: GPT-5 at $62.50/mo — save 40.5% vs Sonar Pro
Alert
BestGPT-5
OpenAI$62.50$0.006250$12.50$50.0040.5%Alerts coming soon
Sonar Pro
Perplexity$105.00$0.010500$30.00$75.00Alerts 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-5Sonar ProCheaper
Input (standard)$1.25/M$3.00/MGPT-5
Output$10.00/M$15.00/MGPT-5
Cached input$0.13/MN/A

Prices last verified: 2026-03-06 – 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.

VolumeGPT-5MonthlySonar ProMonthlyGPT-5Per requestSonar ProPer request
1K requests/mo$6.25$10.50$0.006250$0.010500
10K requests/mo$62.50$105.00$0.006250$0.010500
100K requests/mo$625.00$1,050.00$0.006250$0.010500
1M requests/mo$6,250.00$10,500.00$0.006250$0.010500

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

by OpenAI

  • General chatbot
  • Code generation
  • Content & copywriting

Input / 1M tokens

$1.25/M

Output / 1M tokens

$10.00/M

Context window

400,000

Tier

premium

When to Choose Sonar Pro

by Perplexity

  • RAG / Semantic search
  • Document summarization
  • General chatbot

Input / 1M tokens

$3.00/M

Output / 1M tokens

$15.00/M

Context window

200,000

Tier

premium

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-5Sonar Pro
Context window400,000 tokens200,000 tokens
Max output tokens128,000 tokens8,192 tokens
Performance tierPremiumPremium
Vision / image inputYesNo
Function callingYesNo
JSON modeYesNo
Prompt cachingYesNo
Batch API (50% discount)NoNo
Extended reasoningNoNo
Fine-tuningNoNo
Rate limit (req/min)10,000Not published

GPT-5 notes

1M context window. High-capability model between GPT-5.1 and GPT-5 mini.

Sonar Pro notes

Search pricing: $6-$14 per 1,000 requests. Pro Search surcharge: $14-$22 per 1,000 requests. Best for complex multi-step research queries.

Frequently Asked Questions

Is GPT-5 cheaper than Sonar Pro?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), GPT-5 costs $625.00/month versus $1,050.00/month for Sonar Pro — a 40% 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 or Sonar Pro?

GPT-5 has a larger context window at 400,000 tokens, compared to 200,000 tokens for Sonar Pro. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do GPT-5 and Sonar Pro support the Batch API?

Neither GPT-5 nor Sonar Pro 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?

GPT-5 supports prompt caching at $0.13/M for cached input, while Sonar Pro does not offer prompt caching. For RAG applications or chatbots with large, repeated context, GPT-5's caching capability can substantially reduce effective costs.

What are the best use cases for GPT-5 vs Sonar Pro?

Both models are well-suited for General chatbot. GPT-5 is particularly strong for Code generation, Content & copywriting. Sonar Pro is favored for RAG / Semantic search, Document summarization. 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 GPT-5 vs Sonar Pro?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — GPT-5 costs $0.006250 per request and Sonar Pro costs $0.010500 per request. At 100,000 requests/month, that translates to $625.00 and $1,050.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

GPT-5 vs Sonar Pro: Summary

When comparing GPT-5 and Sonar Pro for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. GPT-5 offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $625.00/month, compared to $1,050.00/month for Sonar Pro.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. GPT-5 charges $1.25/M for input tokens and $10.00/M for output tokens. Sonar Pro charges $3.00/M input and $15.00/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.

Prompt caching is supported by GPT-5 but not Sonar Pro. For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.

Context window capacity differs between the two: GPT-5 supports up to 400,000 tokens in a single request, versus 200,000 tokens for Sonar Pro. 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 or Sonar Pro is recommended.