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Claude Sonnet 4.6 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 4.6 and o1.

Anthropic

Claude Sonnet 4.6

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management 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 4.6o1
ProviderAnthropicOpenAI
Context Window1,000,000 tokens200,000 tokens
Agent Suitability94/10088/100
Time to First Token (TTFT)350 ms2500 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-172024-12-17

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4.6

$3.00

o1

$15.00

Output Price per Million Tokens

Claude Sonnet 4.6

$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
9040.0%vs9180.0%
Claude Sonnet 4.6
o1
HumanEvalPython coding & logic synthesis
9370.0%vs9450.0%
Claude Sonnet 4.6
o1
MATHComplex mathematical problem solving
8230.0%vs9480.0%
Claude Sonnet 4.6
o1
GPQAGraduate-level expert reasoning
6500.0%vs7830.0%
Claude Sonnet 4.6
o1
HellaSwagCommonsense reasoning and inference
9600.0%vs9200.0%
Claude Sonnet 4.6
o1
MT-BenchMulti-turn conversation flow quality
940.0%vs940.0%
Claude Sonnet 4.6
o1

Claude Sonnet 4.6 Quirks & Gotchas

  • โ–ธBest balance of speed and capability โ€” default for most Claude integrations
  • โ–ธComputer-use (beta) feature enables autonomous UI interaction

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