Claude 4 Opus (Reasoning)

← AI Models
Anthropic
2025-05-22
Modality:
Intelligence
39
#94/523
Coding
34
#102/429
Math
73.3
#86/265
Speed
37 tok/s
TTFT: 6.56s
Pricing
$15.00 / $75.00
per 1M tokens (in/out)
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Claude 4 Opus (Reasoning) is Anthropic’s AI model designed for advanced reasoning tasks. It processes at 36.755 tokens per second and is priced at $15 per million input tokens and $75 per million output tokens, targeting professional users.

When to Use Claude 4 Opus (Reasoning)

✓ Best For

  • Complex problem-solving in professional environments.
  • Data analysis and interpretation.
  • Software development and coding assistance.

✗ Not Ideal For

  • Basic conversational tasks.
  • High-speed real-time applications.

How Claude 4 Opus (Reasoning) Compares

Intelligence Index · Higher is better

OpenAIXiaomiAnthropic

Benchmark Profile

Coding Index

TencentAnthropicOpenAIGoogle

Output Speed · tok/s

OpenAIMicrosoftAnthropicMistralKimi

Math Index

Z AIAllen Institute for AIAnthropicGoogleAlibaba

Intelligence · Coding · Math

Intelligence Coding Math

All Benchmark Scores (15)

BenchmarkScore
Intelligence Index 39
Coding Index 34
Math Index 73.3
MMLU-Pro 873%
GPQA 796%
LiveCodeBench 636%
HLE 117%
SciCode 39.8%
IFBench 53.7%
LCR 33.7%
TerminalBench Hard 31.1%
Tau2 73.4%
AIME 75.7%
AIME 2025 73.3%
MATH 500 98.2%

Data: Artificial Analysis · Updated: April 10, 2026

Frequently Asked Questions (15)

When was Claude 4 Opus (Reasoning) released?
Claude 4 Opus (Reasoning) was released on May 22, 2025.
Who created Claude 4 Opus (Reasoning)?
Claude 4 Opus (Reasoning) was created by Anthropic.
How intelligent is Claude 4 Opus (Reasoning)?
Claude 4 Opus (Reasoning) scores 39 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other reasoning models in a similar price tier (median: 31).
How fast is Claude 4 Opus (Reasoning)?
Claude 4 Opus (Reasoning) generates output at 31.8 tokens per second (based on Anthropic's API), which is at the lower end compared to other reasoning models in a similar price tier (median: 67.8 t/s).
What is the latency of Claude 4 Opus (Reasoning)?
Claude 4 Opus (Reasoning) has a time to first token (TTFT) of 11.03s (based on Anthropic's API), which is at the higher end compared to other reasoning models in a similar price tier (median: 2.57s).
How much does Claude 4 Opus (Reasoning) cost?
Claude 4 Opus (Reasoning) costs $15.00 per 1M input tokens (at the higher end, median: $1.35) and $75.00 per 1M output tokens (at the higher end, median: $8.40), based on Anthropic's API.
What is Claude 4 Opus (Reasoning) API pricing?
Claude 4 Opus (Reasoning) costs $15.00 per 1M input tokens and $75.00 per 1M output tokens (based on Anthropic's API). For a blended rate (3:1 input to output ratio), this is $30.00 per 1M tokens. Pricing may vary by provider.
Is Claude 4 Opus (Reasoning) a reasoning model?
Yes, Claude 4 Opus (Reasoning) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
What input modalities does Claude 4 Opus (Reasoning) support?
Claude 4 Opus (Reasoning) supports text and image input.
What output modalities does Claude 4 Opus (Reasoning) support?
Claude 4 Opus (Reasoning) supports text output.
Can Claude 4 Opus (Reasoning) process images?
Yes, Claude 4 Opus (Reasoning) supports image input and can analyze, describe, and answer questions about images.
Is Claude 4 Opus (Reasoning) multimodal?
Yes, Claude 4 Opus (Reasoning) is multimodal. It can process text and image input and generate text output.
What is the context window of Claude 4 Opus (Reasoning)?
Claude 4 Opus (Reasoning) has a context window of 200k tokens. This determines how much text and conversation history the model can process in a single request.
Is Claude 4 Opus (Reasoning) open source?
No, Claude 4 Opus (Reasoning) is proprietary. The model weights are not publicly available.
How many parameters does Claude 4 Opus (Reasoning) have?
Claude 4 Opus (Reasoning) is a proprietary model and Anthropic has not disclosed the model size or parameter count.