Claude 3 Opus
Claude 3 Opus is the highest-capability tier in the Claude 3 family from Anthropic. It targets complex tasks with strong recall across a context window of 200K tokens and a twofold accuracy improvement over Claude 2.1 on open-ended questions.
import { streamText } from 'ai'
const result = streamText({ model: 'anthropic/claude-3-opus', prompt: 'Why is the sky blue?'})Playground
Try out Claude 3 Opus by Anthropic. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
About Claude 3 Opus
Claude 3 Opus launched on March 1, 2023 as the highest-capability model in the Claude 3 family, alongside Sonnet and Haiku. Haiku prioritized throughput. Sonnet balanced capability with efficiency. Opus targeted tasks where intelligence was the primary constraint.
Accuracy on difficult factual questions defined the release. Compared to Claude 2.1, Opus showed a twofold improvement in correct answers on complex open-ended queries while reducing hallucinated responses. It produced more right answers and fewer confidently wrong ones. Anthropic also reported near-perfect recall (exceeding 99% accuracy) on the Needle In A Haystack evaluation for long context. In some cases, it identified that test needles appeared artificially inserted, a sign of meta-reasoning rather than pure retrieval.
Opus launched with vision capabilities matching other comparable models at the time, processing photos, charts, graphs, and technical diagrams. All Claude 3 models improved at following complex, multi-step instructions and producing structured output in formats like JSON compared to earlier generations. Anthropic noted Opus adhered better to brand voice guidelines, a consideration for enterprises building customer-facing products.
The Claude 3 family positioned Opus for research and development workflows, complex task automation, strategy analysis, and scientific reasoning. Anthropic indicated that inputs exceeding 1 million tokens were technically possible and available to select customers, even though the standard context window is 200K tokens.
Providers
Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.
P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.
Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.
More models by Anthropic
| Model |
|---|
| 1M | 0.7s | 100tps | $5.00/M | $25.00/M | Read:$0.5/M Write: $6.25/M | $10/K + input costs | — |    | 04/16/2026 | ||||
| 1M | 0.6s | 55tps | $3.00/M | $15.00/M | Read:$0.3/M Write: $3.75/M | $10/K + input costs | — | | 02/17/2026 | ||||
| 1M | 0.9s | 50tps | $5.00/M | $25.00/M | Read:$0.5/M Write: $6.25/M | $10/K + input costs | — | | 02/05/2026 | ||||
| 200K | 0.6s | 108tps | $1.00/M | $5.00/M | Read:$0.1/M Write: $1.25/M | $10.00/K + input costs | — | | 10/15/2025 | ||||
| 1M | 0.8s | 57tps | $3.00/M | $15.00/M | Read: $0.3/M Write: $3.75/M | $10.00/K + input costs | — | | 09/29/2025 | ||||
| 200K | 0.7s | 54tps | $5.00/M | $25.00/M | Read:$0.5/M Write: $6.25/M | $10.00/K + input costs | — | | 11/24/2024 |
What To Consider When Choosing a Provider
- Configuration: Opus has a higher per-token cost than lower-tier models. Enable cost tracking through AI Gateway's observability layer from the start to manage per-request budget impact.
- Zero Data Retention: AI Gateway supports Zero Data Retention for this model via direct gateway requests (BYOK is not included). To configure this, check the documentation.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use Claude 3 Opus
Best For
- Deep research and analysis: Synthesizing large bodies of literature, reviewing scientific papers, generating hypotheses
- Complex task automation: Requiring multi-step planning across APIs and databases with nuanced decision-making at each step
- Advanced financial and strategy analysis: Chart interpretation, market forecasting, and scenario modeling
- Drug discovery and technical R&D: Workflows where domain reasoning depth matters more than throughput
- Long-document comprehension: Near-perfect recall across 200K tokens is required and accuracy is non-negotiable
Consider Alternatives When
- Hard latency constraints: Opus delivers similar speeds to Claude 2 and 2.1, slower than Sonnet or Haiku variants
- Token cost budget: Cost per token is a binding constraint at the volumes you're running
- Straightforward tasks: A mid-tier model handles simpler work equivalently
- Computer use capabilities: Anthropic introduced computer use in later models
Conclusion
Claude 3 Opus remains available for teams that built workflows around its strong comprehension, high long-context recall, and accuracy improvements over Claude 2.1. Later Opus and Sonnet generations have advanced significantly for new applications. For Claude 3-generation workloads, Opus represents the ceiling of that family's capability.
Frequently Asked Questions
What specific reasoning benchmarks did Anthropic highlight for Claude 3 Opus?
Anthropic reported Opus outperformed peer models on MMLU (undergraduate-level expert knowledge), GPQA (graduate-level expert reasoning), and GSM8K (basic mathematics) at the time of the March 1, 2023 launch.
How accurate is Claude 3 Opus on factual questions compared to Claude 2.1?
Anthropic measured a twofold improvement in correct answers on complex factual questions, with a simultaneous reduction in hallucinated responses. The model produced more right answers and fewer confidently wrong ones.
What did Claude 3 Opus do on the Needle In A Haystack recall evaluation?
Opus exceeded 99% recall accuracy. In some cases, it identified that test needles appeared artificially inserted into the corpus. Anthropic described this as recognizing the limits of the evaluation itself.
Can Claude 3 Opus process images and visual content?
Yes. All Claude 3 models share the same vision architecture for processing photos, charts, graphs, and technical diagrams. Opus applies the same comprehension depth to visual inputs as it does to text.
Is the 1 million token context window available for Claude 3 Opus through AI Gateway?
Anthropic indicated that inputs exceeding 1M tokens were technically feasible for Opus and available to select customers. The standard supported context window through AI Gateway is 200K tokens. Contact your Vercel account team about extended context availability.
How does Opus's speed compare to other Claude 3 models?
Anthropic noted that Opus delivers similar speeds to Claude 2 and 2.1. Sonnet was 2x faster than those predecessors, and Haiku was positioned as the fastest. For latency-sensitive work, Haiku or Sonnet variants are better choices.
What structured output improvements did Claude 3 Opus include?
All Claude 3 models, including Opus, improved at producing structured output like JSON, following multi-step instructions, and adhering to brand voice guidelines. Anthropic highlighted these improvements for enterprise customer-facing deployments.