Claude Sonnet 4 vs GPT-4o: Pricing, Benchmarks & Verdict (2026)

Pricing verified Apr 20, 2026By LLMversusUpdated June 14, 2026View methodology

⚡ Quick Answer

Claude Sonnet 4 is the stronger coding and reasoning model in 2026 — it leads Coding Arena ELO (1305 vs 1265), Arena ELO (1280 vs 1260), and handles multi-file software tasks significantly better in real-world use. GPT-4o wins on speed (95 tok/s vs 78), price ($2.50/$10 vs $3/$15), native code execution (Code Interpreter), and ecosystem breadth (OpenAI API, Azure, fine-tuning). Choose Claude Sonnet 4 for complex engineering, long documents, and nuanced writing. Choose GPT-4o for fast responses, data science with live code execution, and multimodal tasks at scale.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureClaude Sonnet 4GPT-4o
ProviderAnthropicOpenAI
Input Price / 1M tokens$3.00$2.50
Output Price / 1M tokens$15.00$10.00
Context Window
200K
128K
Max Output Tokens
64,000
16,384
Arena ELO
1,280
1,260
Coding ELO
1,305
1,265
TTFT (ms)
320
230
Tokens/sec
78
95
MultimodalYesYes
JSON ModeYesYes
Function CallingYesYes
VisionYesYes
When to Use Claude Sonnet 4

Choose Claude Sonnet 4 when you need the highest coding quality (1305 Coding ELO), a 200K context window for large codebases or long documents, excellent instruction-following for complex multi-step tasks, and top-tier writing quality. It excels at: software development, code review, long-context document analysis, agents, and detailed technical writing. Its lower hallucination rate also makes it the safer choice for fact-sensitive tasks.

Strengths:

  • Best-in-class coding performance
  • 200K context window
  • Excellent instruction following

Best for:

codinganalysislong-contextagents
When to Use GPT-4o

Choose GPT-4o when you need: fast response times (95 tok/s, 230ms TTFT), native code execution via Code Interpreter, a lower per-token cost ($2.50/$10 vs $3/$15), or OpenAI ecosystem integration (Azure, Assistants API, fine-tuning). It excels at: data analysis with live Python execution, real-time multimodal applications, high-volume cost-sensitive workloads, and function-calling pipelines. Its 128K context window covers most use cases and its broad tool ecosystem is a major advantage for production integrations.

Strengths:

  • Fast response times
  • Strong multimodal capabilities
  • Code execution support

Best for:

general-purposemultimodalfunction-calling

Frequently Asked Questions

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