โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude 3 Opus vs Claude Opus 4.7

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude 3 Opus and Claude Opus 4.7.

Anthropic

Claude 3 Opus

Claude 3 Opus is Anthropic's most powerful model from the first Claude 3 generation, engineered for deep analysis, comprehensive research, and demanding multi-step task execution. Released in March 2024, it represented the frontier of Anthropic's capabilities at the time, with a 200,000-token context window suitable for processing large documents, synthesizing diverse research sources, and generating expert-level written content. Priced at $15/MTok for input, Claude 3 Opus remains available for teams with specific requirements for Claude 3-generation behavior, though most use cases are better served by the improved Claude 4 series.

View Full Specs
Anthropic

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

View Full Specs

Technical Specifications

SpecificationClaude 3 OpusClaude Opus 4.7
ProviderAnthropicAnthropic
Context Window200,000 tokens1,000,000 tokens
Agent SuitabilityN/A96/100
Time to First Token (TTFT)N/A480 ms
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-042026-04-16

API Pricing Comparison

Input Price per Million Tokens

Claude 3 Opus

$15.00

Claude Opus 4.7

$5.00

Output Price per Million Tokens

Claude 3 Opus

$75.00

Claude Opus 4.7

$25.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8680.0%vs9410.0%
Claude 3 Opus
Claude Opus 4.7
HumanEvalPython coding & logic synthesis
8490.0%vs9610.0%
Claude 3 Opus
Claude Opus 4.7
MATHComplex mathematical problem solving
6010.0%vs9150.0%
Claude 3 Opus
Claude Opus 4.7
GPQAGraduate-level expert reasoning
5040.0%vs8420.0%
Claude 3 Opus
Claude Opus 4.7
HellaSwagCommonsense reasoning and inference
9500.0%vs9880.0%
Claude 3 Opus
Claude Opus 4.7
MT-BenchMulti-turn conversation flow quality
900.0%vs975.0%
Claude 3 Opus
Claude Opus 4.7

Claude 3 Opus Quirks & Gotchas

No developer gotchas reported.

Claude Opus 4.7 Quirks & Gotchas

  • โ–ธTop-tier agentic coding model โ€” excels at autonomous software engineering
  • โ–ธRequires explicit tool_choice parameter for parallel function calling to work reliably