← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Opus 4 vs o1

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 Opus 4 and o1.

Anthropic

Claude Opus 4

Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...

View Full Specs
OpenAI

o1

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

View Full Specs

Technical Specifications

SpecificationClaude Opus 4o1
ProviderAnthropicOpenAI
Context Window200,000 tokens200,000 tokens
Agent SuitabilityN/A88/100
Time to First Token (TTFT)N/A2500 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-05-222024-12-17

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4

$15.00

o1

$15.00

Output Price per Million Tokens

Claude Opus 4

$75.00

o1

$60.00

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
9050.0%vs9180.0%
Claude Opus 4
o1
HumanEvalPython coding & logic synthesis
9300.0%vs9450.0%
Claude Opus 4
o1
MATHComplex mathematical problem solving
8540.0%vs9480.0%
Claude Opus 4
o1
GPQAGraduate-level expert reasoning
7230.0%vs7830.0%
Claude Opus 4
o1
HellaSwagCommonsense reasoning and inference
9650.0%vs9200.0%
Claude Opus 4
o1
MT-BenchMulti-turn conversation flow quality
945.0%vs940.0%
Claude Opus 4
o1

Claude Opus 4 Quirks & Gotchas

No developer gotchas reported.

o1 Quirks & Gotchas

  • Reasoning model — high latency by design, not for real-time use
  • Best for complex math/code reasoning where accuracy > speed
  • Use o3-mini when you need reasoning with lower latency