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Claude Sonnet 4.5 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 Sonnet 4.5 and o1.

Anthropic

Claude Sonnet 4.5

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

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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 Sonnet 4.5o1
ProviderAnthropicOpenAI
Context Window1,000,000 tokens200,000 tokens
Agent Suitability91/10088/100
Time to First Token (TTFT)380 ms2500 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-09-292024-12-17

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4.5

$3.00

o1

$15.00

Output Price per Million Tokens

Claude Sonnet 4.5

$15.00

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
8950.0%vs9180.0%
Claude Sonnet 4.5
o1
HumanEvalPython coding & logic synthesis
9280.0%vs9450.0%
Claude Sonnet 4.5
o1
MATHComplex mathematical problem solving
8000.0%vs9480.0%
Claude Sonnet 4.5
o1
GPQAGraduate-level expert reasoning
6250.0%vs7830.0%
Claude Sonnet 4.5
o1
HellaSwagCommonsense reasoning and inference
9580.0%vs9200.0%
Claude Sonnet 4.5
o1
MT-BenchMulti-turn conversation flow quality
930.0%vs940.0%
Claude Sonnet 4.5
o1

Claude Sonnet 4.5 Quirks & Gotchas

  • Excellent for long-form writing and nuanced document analysis
  • Slightly slower than Sonnet 4.6 — upgrade for production agentic use

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