Updated 27 March 2026

Claude API vs OpenAI API Pricing

OpenAI is 17-81% cheaper per token depending on model tier. But Claude's coding quality and longer context window often justify the premium. The right choice depends on your use case.

All Models Compared

ProviderModelInput/M tokensOutput/M tokensContextBest For
AnthropicClaude 3.5 Haiku$0.80$4.00200KHigh-volume, cost-sensitive tasks. Classification, extraction, routing.
AnthropicClaude Sonnet 4$3.00$15.00200KBest balance of quality and cost. Coding, analysis, writing.
AnthropicClaude Opus 4$15.00$75.00200KMost capable. Complex reasoning, agentic coding, research.
OpenAIGPT-4o-mini$0.15$0.60128KCheapest mainstream model. Simple tasks, chat, summarisation.
OpenAIGPT-4o$2.50$10.00128KVersatile. Good at everything, slightly cheaper than Sonnet.
OpenAIo1$15.00$60.00200KExtended reasoning. Math, science, complex logic.
OpenAIo1-mini$3.00$12.00128KReasoning at lower cost than full o1.

Head-to-Head by Task

TaskClaude CostOpenAI CostCheaperQuality
General chat (1K tokens)$0.019 (Sonnet)$0.013 (4o)OpenAI (-32%)Similar. Both excellent.
Code generation (2K tokens)$0.036 (Sonnet)$0.025 (4o)OpenAI (-31%)Claude generally produces cleaner code.
Agentic coding (10K tokens)$0.18 (Sonnet) or $0.90 (Opus)$0.13 (4o) or $0.75 (o1)OpenAIClaude Code (Opus) leads for autonomous multi-step coding.
High-volume extraction (batch)$0.40/M (Haiku)$0.075/M (4o-mini)OpenAI (-81%)GPT-4o-mini is cheaper but Haiku handles edge cases better.
Long document analysis (100K)$0.30 (Sonnet, 100K input)$0.25 (4o, 100K input)OpenAI (-17%)Claude's 200K context handles longer docs natively.
Complex reasoning (math/logic)$0.90 (Opus, 4K)$0.30 (o1-mini, 4K)OpenAI (-67%)o1 family is specifically designed for reasoning chains.

The honest recommendation.

For cost-optimised batch processing, OpenAI (GPT-4o-mini) wins on price. For coding and agentic workflows, Claude (Sonnet/Opus) produces higher-quality results that reduce the need for retries. For math and reasoning, OpenAI's o1 family is purpose-built. Most production systems use both providers for different tasks, with fallback to the other if one has an outage.