LLM Comparison
Claude Sonnet 5.5 vs Sonar Deep Research
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 25 5.1 | |
| Family | Claude Sonnet | Sonar |
| Status | Current | Current |
| Release Date | Sep 2026 | Mar 2025 |
| Context Window | 1.0M tokens | 128K tokens |
| Input Price | $2.00/M tokens | $2.00/M tokens |
| Output Price | $10.00/M tokens | $8.00/M tokens |
| Pricing Notes | Anthropic Claude API standard tier, USD per million tokens: $2 input, $10 output; 5-minute cache writes $2.50, 1-hour cache writes $4, cache reads $0.20. Batch API gives 50% off input and output. A 300K output limit is available only for Message Batches API with the output-300k-2026-03-24 beta header; standard maximum output is 128K. Provider and regional terms may vary. | — |
| Capabilities | textvisionreasoningcodingtool-uselong-contextcontext-caching | textcode |
| Training Cutoff | 2026-06 | — |
| Max Output | 128K tokens | — |
| API Identifier | claude-sonnet-5-5 | perplexity/sonar-deep-research |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.3.2 | 55.9779549012591artificial-analysis | — |
| GPQA Diamond | — | 47.1perplexity |
| MMLU Pro | — | 68.9perplexity |
| MATH-500 | — | 81.7perplexity |
| AIME | — | 48.7perplexity |
| View Claude Sonnet 5.5 | View Sonar Deep Research | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Sonar Deep ResearchCheapest | $2.00 | $4.00 | $6.00 | — |
| Claude Sonnet 5.5 | $2.00 | $5.00 | $7.00 | +17% |
Anthropic
Claude Sonnet 5.5
Claude Sonnet 5.5 is Anthropic's proprietary adaptive-reasoning model. The Claude API identifier is claude-sonnet-5-5. It accepts text and images, returns text, has a 1,000,000-token context window and a 128,000-token standard output limit. Anthropic lists standard API input and output pricing at $2 and $10 per million tokens.
Perplexity AI
Sonar Deep Research
Sonar Deep Research is a large language model from Perplexity AI. Supports up to 128,000 token context window. Achieves 83.0% on MMLU. Available from $2.00/M input tokens.
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