Anthropic • llm
Grande modelo de linguagem (llm) desenvolvido pela Anthropic — Intelligence Index 39/100 no Artificial Analysis; US$ 3.75/1M tokens de entrada; 51 tokens/s de velocidade.
Context Window
—
Input Price/1M
$3.75
Output Price/1M
$15.00
Parameters
—
Speed
52 tok/s
Latency (TTFT)
9.0s
Claude 4 Sonnet (Reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 31.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 66.0 | 100.0 | Artificial Analysis official API |
| SciCode | 40.0 | 100.0 | — |
| AA Coding Index | 34.1 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 84.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 65.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 93.4 | 100.0 | Artificial Analysis official API |
| AA Math Index | 74.3 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 74.0 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 38.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 83.7 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 78.0 | 100.0 | Artificial Analysis official API |
| IFBench | 55.0 | 100.0 | — |
| HLE | 10.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 65.0 | 100.0 | — |
Claude 4 Sonnet (Reasoning) is an AI model developed by Anthropic, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Anthropic's cloud API.
Claude 4 Sonnet (Reasoning) is usage-based, priced at $3.75/1M input tokens and $15/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Claude 4 Sonnet (Reasoning) was evaluated on 15 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Claude 4 Sonnet (Reasoning) is suitable for a wide range of AI applications: text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Claude 4 Sonnet (Reasoning) competes directly with similarly capable models. Key competitors include GPT (OpenAI), Gemini (Google), and open source models like Llama (Meta) and DeepSeek. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Claude 4 Sonnet (Reasoning) is an AI model developed by Anthropic. It is a llm model.
Claude 4 Sonnet (Reasoning) costs $3.75/1M input tokens and $15/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Claude 4 Sonnet (Reasoning) scored: Terminal-Bench Hard: 31/100, LiveCodeBench: 66/100, SciCode: 40/100. See the full table above for a detailed comparison.
No, Claude 4 Sonnet (Reasoning) is a proprietary model from Anthropic. It is available via cloud API. For open source alternatives, check our open source model ranking.
Claude 4 Sonnet (Reasoning) excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →