Anthropic • llm
Grande modelo de linguagem (llm) desenvolvido pela Anthropic — Intelligence Index 53/100 no Artificial Analysis; US$ 6.25/1M tokens de entrada; 50 tokens/s de velocidade.
Context Window
—
Input Price/1M
$6.25
Output Price/1M
$25.00
Parameters
—
Speed
50 tok/s
Latency (TTFT)
10.4s
Claude Opus 4.6 (Adaptive Reasoning, Max Effort) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 46.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 52.0 | 100.0 | — |
| AA Coding Index | 48.1 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 71.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 52.9 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 90.0 | 100.0 | — |
| IFBench | 53.0 | 100.0 | — |
| HLE | 37.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 92.0 | 100.0 | — |
Claude Opus 4.6 (Adaptive Reasoning, Max Effort) 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 Opus 4.6 (Adaptive Reasoning, Max Effort) is usage-based, priced at $6.25/1M input tokens and $25/1M 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 Opus 4.6 (Adaptive Reasoning, Max Effort) was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, 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 Opus 4.6 (Adaptive Reasoning, Max Effort) is suitable for a wide range of AI applications: text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Claude Opus 4.6 (Adaptive Reasoning, Max Effort) 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 Opus 4.6 (Adaptive Reasoning, Max Effort) is an AI model developed by Anthropic. It is a llm model.
Claude Opus 4.6 (Adaptive Reasoning, Max Effort) costs $6.25/1M input tokens and $25/1M 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 Opus 4.6 (Adaptive Reasoning, Max Effort) scored: Terminal-Bench Hard: 46/100, SciCode: 52/100, AA Coding Index: 48.1/100. See the full table above for a detailed comparison.
No, Claude Opus 4.6 (Adaptive Reasoning, Max Effort) is a proprietary model from Anthropic. It is available via cloud API. For open source alternatives, check our open source model ranking.
Claude Opus 4.6 (Adaptive Reasoning, Max Effort) excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →