Anthropic

Claude Opus 4.6 — Benchmark Scores, Pricing & Performance Analysis

FLAGSHIPAnthropic
Chatbot Arena ELO
1496
Output Speed
68 tok/s
Input Cost
$5.0/1M
Output Cost
$25.0/1M
Context Window
1.0M
Max Output
128K
Knowledge Cutoff
May 2025
Accepts
text, image, file

Claude Opus 4.6 by Anthropic demonstrates top-tier general intelligence, excellent coding ability, outstanding mathematical reasoning. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.

Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.

General Benchmarks

MMLU-Pro
82.0%18th of 66

Massive Multitask Language Understanding professional benchmark

HuggingFace Leaderboard
Chatbot Arena ELO
14962nd of 74

Human preference ELO from blind head-to-head votes

LMSYS / HuggingFace
IFEval
91.0%5th of 25

Strict instruction following accuracy on verifiable constraints

Google Research

Coding Benchmarks

Website Arena ELO
129813th of 108

Human preference ELO for building a working web page from a brief

Design Arena (via OpenRouter)
LiveCodeBench
72.0%8th of 66

Live competitive programming benchmark

livecodebench.github.io
HumanEval+
93.5%3rd of 66

Code generation correctness with extended tests

Papers
SWE-bench Verified
80.8%3rd of 67

Real-world software engineering task resolution

swebench.com
Design Arena ELO
128916th of 120

Human preference ELO for building things — websites, UI, games, charts, SVG

Design Arena (via OpenRouter)
BFCL
70.4%1st of 7

Berkeley Function Calling Leaderboard — tool use accuracy

Berkeley
Aider Polyglot
75.0%3rd of 8

Multi-language code editing accuracy with real git repos

aider.chat

Math Benchmarks

GSM8K
97.0%11th of 66

Grade school math word problems

Papers
MATH
92.0%13th of 66

Competition mathematics problem solving

Papers
AIME 2025
100.0%1st of 17

American Invitational Mathematics Examination — competition math

Papers

Reasoning Benchmarks

τ²-Bench Airline
75.7%18th of 93

Multi-turn service agent making tool calls under strict policy constraints

OpenRouter (measured)
ARC-AGI
60.0%4th of 66

Abstraction and Reasoning Corpus for general intelligence

arcprize.org
GPQA Diamond
85.3%32nd of 140

Graduate-level science Q&A by domain experts

Papers

Speed Benchmarks

Time to First Token
1680 ms86th of 92

Latency before first token arrives

Aggregated
Output Speed
68 tok/s57th of 94

Tokens generated per second

Aggregated

Cost Benchmarks

Input Cost
$5.0385th of 413

Cost per 1M input tokens

OpenRouter API
Output Cost
$25.0387th of 413

Cost per 1M output tokens

OpenRouter API
Cached Input Cost
$0.50120th of 136

Cost per 1M cached input tokens — the price that actually applies to a long agent conversation

OpenRouter API

Context Benchmarks

Context Length
1.0M52nd of 451

Maximum context window size

OpenRouter API

Available from 37 providers

The same model costs different amounts depending on who serves it. You can bring your own key for 6 of these — connect it here.

ProviderInput / 1MOutput / 1MCached inContextYour key
Poe$4.3$21$0.43983K—
Abacus$5$25—1.0M—
AIHubMix$5$25$0.51.0M—
Amazon Bedrock$5$25$0.51.0MSupported
Anthropic$5$25$0.51.0MSupported
Auriko$5$25$0.51.0M—
Azure$5$25$0.51.0MSupported
Azure Cognitive Services$5$25$0.51.0M—
Cloudflare AI Gateway$5$25$0.51.0M—
Databricks$5$25$0.51.0M—
DevPass (LLM Gateway)$5$25$0.51.0M—
Eden AI$5$25$0.51.0M—
FreeModel$5$25$0.51.0M—
FrogBot$5$25$0.5200K—
GMI Cloud$5$25$0.5410K—
Impossibl$5$25$0.51.0M—
Kilo Gateway$5$25$0.51.0M—
LLM Gateway$5$25$0.51.0M—
Merge Gateway$5$25$0.51.0M—
NEAR AI Cloud$5$25$0.5200K—
Neon$5$25$0.51.0M—
Ofox$5$25$0.51.0M—
OpenCode Zen$5$25$0.51.0M—
OpenRouter$5$25$0.51.0MSupported
Opper$5$25$0.51.0M—
OrcaRouter$5$25$0.51.0M—
Perplexity Agent$5$25$0.5200K—
Pioneer$5$25$0.51.0M—
Requesty$5$25$0.51.0M—
Vercel AI Gateway$5$25$0.51.0MSupported
Vertex$5$25$0.51.0MSupported
Vertex (Anthropic)$5$25$0.51.0M—
ZenMux$5$25$0.51.0M—
Cortecs$5.313$26.561$0.5311.0M—
Venice AI$6$30$0.61.0M—
AnyAPI———1.0M—
Snowflake Cortex———1.0M—

Claude Opus 4.6 — Benchmark Scores Overview

Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).

Claude Opus 4.6 — Frequently Asked Questions

How intelligent is Claude Opus 4.6?

Claude Opus 4.6 scores 1496 on the Chatbot Arena ELO rating, making it one of the top-ranked AI model. This score is based on blind head-to-head human preference voting.

How much does Claude Opus 4.6 cost?

Claude Opus 4.6 costs $5.0 per 1M input tokens and $25.0 per 1M output tokens. This places it in the premium pricing tier.

How fast is Claude Opus 4.6?

Claude Opus 4.6 generates output at 68 tokens per second, which is slower, prioritizing quality over speed compared to other models. The time to first token is 1680 ms.

How good is Claude Opus 4.6 at coding?

Claude Opus 4.6 achieves 80.8% on SWE-bench Verified, demonstrating excellent real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.

How good is Claude Opus 4.6 at math and reasoning?

Claude Opus 4.6 scores 92.0% on the MATH benchmark (competition-level mathematics). It also achieves 85.3% on GPQA Diamond, a graduate-level science reasoning benchmark.

What is the context window of Claude Opus 4.6?

Claude Opus 4.6 has a context window of 1.0M tokens. This determines how much text, conversation history, and code the model can process in a single request.

Who created Claude Opus 4.6?

Claude Opus 4.6 was created by Anthropic. It is classified as a flagship model in our catalogue.

Is Claude Opus 4.6 open source?

No, Claude Opus 4.6 is a proprietary model. It is available through Anthropic's API and compatible providers.