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Claude Opus 4.8 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 4.8 and o1.

Anthropic

Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

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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...

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Technical Specifications

SpecificationClaude Opus 4.8o1
ProviderAnthropicOpenAI
Context Window1,000,000 tokens200,000 tokens
Agent Suitability97/10088/100
Time to First Token (TTFT)520 ms2500 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-05-272024-12-17

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.8

$5.00

o1

$15.00

Output Price per Million Tokens

Claude Opus 4.8

$25.00

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
9540.0%vs9180.0%
Claude Opus 4.8
o1
HumanEvalPython coding & logic synthesis
9720.0%vs9450.0%
Claude Opus 4.8
o1
MATHComplex mathematical problem solving
9410.0%vs9480.0%
Claude Opus 4.8
o1
GPQAGraduate-level expert reasoning
8650.0%vs7830.0%
Claude Opus 4.8
o1
HellaSwagCommonsense reasoning and inference
9920.0%vs9200.0%
Claude Opus 4.8
o1
MT-BenchMulti-turn conversation flow quality
980.0%vs940.0%
Claude Opus 4.8
o1

Claude Opus 4.8 Quirks & Gotchas

  • โ–ธBest-in-class for autonomous code repair and multi-agent orchestration
  • โ–ธPreview model โ€” API may introduce breaking changes without notice

o1 Quirks & Gotchas

  • โ–ธReasoning model โ€” high latency by design, not for real-time use
  • โ–ธBest for complex math/code reasoning where accuracy > speed
  • โ–ธUse o3-mini when you need reasoning with lower latency