Model profile
Anthropic

Claude 4.1 Opus (Non-reasoning)

Claude 4.1 Opus (Non-reasoning) is a premium-priced text-first model from Anthropic with heavy runtime profile, partial context coverage, and the clearest fit around reasoning.

Best for: ReasoningHeavy latencyN/A contextPremium pricing
Intelligence
36.0

Benchmark blend

Coding
N/A

Dev workflow signal

Context
N/A

N/A

Input Price
$15.00

Premium tier

Decision snapshot
40

Claude 4.1 Opus (Non-reasoning) currently reads as a premium text-first option with partially published context and a heavy runtime profile.

Overall profile
Use-case specific
Best for
Reasoning
Latency tier
Heavy
Price tier
Premium
Source coverage
OpenRouterArtificial Analysis

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
36.0
36

General reasoning and benchmark headroom.

Limited
Speed
38 tok/s
50

TTFT 1.32s

Situational
Context
N/A
N/A

How much prompt and task state can stay in view.

Unavailable
Price
$15.00
38

$75.00 output / 1M

Expensive

Editorial Profile

Claude 4.1 Opus (Non-reasoning) in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Use-case specificCoding score N/AMath score N/A

The Claude 4.1 Opus (Non-reasoning) AI model by Anthropic.

Identity

Anthropic text-first profile

Positioning

Reasoning with partially published context and heavy runtime.

Cost posture

Premium spend profile. Best when the upside justifies tighter budget control.

Strengths
  • The available source data suggests a balanced profile rather than one dominant edge.

Tradeoffs
  • Pricing sits in premium territory, so bulk usage needs tighter cost controls.

  • Latency profile is better for deliberate runs than rapid back-and-forth chat.

  • Current metadata points to a text-first profile rather than a broad multimodal one.

  • Context limits are only partially published, so long-session planning needs extra validation.

Best fit
  • Focused chat, retrieval-augmented flows, and narrower production tasks.

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Context
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Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
36.0

Extra benchmark cuts are not available for this category yet.

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
N/A
Vision
Text-first
Price architecture
Input
per 1M input tokens
$15.00
Output
per 1M output tokens
$75.00
Blended
AA 3:1 mix
$30.00

This model trades into premium territory. It makes sense when capability upside matters more than raw volume efficiency.

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.