o3 vs Sonar Reasoning Pro: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for o3 (OpenAI) and Sonar Reasoning 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
Fills in typical token counts for a workload type
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Showing costs for 2 models. Cheapest: o3 at $60.00/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
Besto3 | OpenAI | $60.00 | $0.006000 | $20.00 | $40.00 | — | Alerts coming soon |
Sonar Reasoning Pro | 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 | o3 | Sonar Reasoning Pro | Cheaper |
|---|---|---|---|
| Input (standard) | $2.00/M | $2.00/M | — |
| Output | $8.00/M | $8.00/M | — |
| Cached input | $0.50/M | N/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.
| Volume | o3Monthly | Sonar Reasoning ProMonthly | o3Per request | Sonar Reasoning ProPer request |
|---|---|---|---|---|
| 1K requests/mo | $6.00 | $6.00 | $0.006000 | $0.006000 |
| 10K requests/mo | $60.00 | $60.00 | $0.006000 | $0.006000 |
| 100K requests/mo | $600.00 | $600.00 | $0.006000 | $0.006000 |
| 1M requests/mo | $6,000.00 | $6,000.00 | $0.006000 | $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 tokensWhen to Choose o3
by OpenAI
- Code generation
- Document summarization
Input / 1M tokens
$2.00/M
Output / 1M tokens
$8.00/M
Context window
200,000
Tier
reasoning
When to Choose Sonar Reasoning Pro
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.
| Capability | o3 | Sonar Reasoning Pro |
|---|---|---|
| Context window | 200,000 tokens | 127,072 tokens |
| Max output tokens | 100,000 tokens | 8,192 tokens |
| Performance tier | Reasoning | Reasoning |
| Vision / image input | Yes | No |
| Function calling | Yes | No |
| JSON mode | Yes | No |
| Prompt caching | Yes | No |
| Batch API (50% discount) | No | No |
| Extended reasoning | Yes | Yes |
| Fine-tuning | No | No |
| Rate limit (req/min) | 1,000 | Not published |
o3 notes
State-of-the-art reasoning performance. Costs reflect internal thinking tokens. Price reduced significantly from launch.
Sonar Reasoning Pro notes
Search pricing: $6-$14 per 1,000 requests. Chain of Thought reasoning with web grounding. Best for complex factual queries requiring step-by-step analysis.
Frequently Asked Questions
Is o3 cheaper than Sonar Reasoning Pro?
o3 and Sonar Reasoning Pro cost the same at standard usage (1,000 input + 500 output tokens, 100K requests/month): $600.00/month each. For different token ratios, use the calculator above.
Which model has a larger context window, o3 or Sonar Reasoning Pro?
o3 has a larger context window at 200,000 tokens, compared to 127,072 tokens for Sonar Reasoning Pro. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do o3 and Sonar Reasoning Pro support the Batch API?
Neither o3 nor Sonar Reasoning 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?
o3 supports prompt caching at $0.50/M for cached input, while Sonar Reasoning Pro does not offer prompt caching. For RAG applications or chatbots with large, repeated context, o3's caching capability can substantially reduce effective costs.
What are the best use cases for o3 vs Sonar Reasoning Pro?
Both models are well-suited for Document summarization. o3 is particularly strong for Code generation. Sonar Reasoning Pro is favored for RAG / Semantic search. 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 o3 vs Sonar Reasoning Pro?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — o3 costs $0.006000 per request and Sonar Reasoning Pro costs $0.006000 per request. At 100,000 requests/month, that translates to $600.00 and $600.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
o3 vs Sonar Reasoning Pro: Summary
When comparing o3 and Sonar Reasoning Pro for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Both models cost the same at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $600.00/month.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. o3 charges $2.00/M for input tokens and $8.00/M for output tokens. Sonar Reasoning Pro 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.
Prompt caching is supported by o3 but not Sonar Reasoning 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: o3 supports up to 200,000 tokens in a single request, versus 127,072 tokens for Sonar Reasoning 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.
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Relevant Use Cases
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