comparison

OpenAI vs Anthropic API Pricing (2026): Full Cost Comparison

Detailed side-by-side comparison of OpenAI and Anthropic API pricing in 2026. GPT-5.4 vs Claude 4.6 — input, output, cached token costs, batch discounts, and real-world cost calculations.

By AI Pricing Guru Editorial Team

OpenAI and Anthropic are the two dominant API providers in 2026, and picking between them can save (or cost) you thousands of dollars a month. This guide breaks down every pricing detail so you can make the right call for your use case.

Last updated: April 16, 2026. All prices verified against official pricing pages.

The Short Answer

OpenAI is cheaper at sticker price across every comparable tier. Anthropic claws back ground through aggressive prompt caching (90% off input) and is widely considered to have the best coding model in Claude Sonnet 4.6. If you can engineer high cache-hit rates, Anthropic’s effective cost can beat OpenAI on input tokens.

Full Model Lineup: Head-to-Head

Flagship Tier

GPT-5.4Claude Opus 4.6
Input$2.50/M tokens$5.00/M tokens
Cached input$0.25/M tokens$0.50/M tokens
Output$15.00/M tokens$25.00/M tokens
Cache discount90% off90% off
Batch discount50% off

GPT-5.4 is 50% cheaper on input and 40% cheaper on output at standard rates. Both offer 90% cache discounts on input, so the 2:1 ratio holds even with caching.

OpenAI’s batch API (50% off, 24-hour SLA) has no Anthropic equivalent. For async workloads, GPT-5.4 batch pricing ($1.25 input / $7.50 output) undercuts Claude Opus 4.6’s standard rate by 75% on input.

Mid Tier (The Production Workhorses)

GPT-5.4 miniClaude Sonnet 4.6
Input$0.75/M tokens$3.00/M tokens
Cached input$0.075/M tokens$0.30/M tokens
Output$4.50/M tokens$15.00/M tokens
Cache discount90% off90% off

This is the biggest gap. GPT-5.4 mini is 4x cheaper on input and 3.3x cheaper on output than Claude Sonnet 4.6. Even with full caching on both sides, GPT-5.4 mini ($0.075) is still 4x cheaper than Sonnet ($0.30) on cached input.

However, Claude Sonnet 4.6 has earned a reputation as the best coding model available. Many teams willingly pay the premium for code generation, refactoring, and complex reasoning tasks.

Budget Tier

GPT-5.4 nanoClaude Haiku 4.5
Input$0.20/M tokens$1.00/M tokens
Cached input$0.02/M tokens$0.10/M tokens
Output$1.25/M tokens$5.00/M tokens

GPT-5.4 nano is 5x cheaper on input and 4x cheaper on output than Claude Haiku 4.5. This is OpenAI’s strongest pricing advantage — there’s simply no Anthropic model at this price point.

For classification, extraction, summarization, and other high-volume tasks, GPT-5.4 nano at $0.20/M input is hard to beat.

Reasoning Models

o3o4-mini(No Anthropic equivalent)
Input$2.00/M$1.10/M
Cached input$0.50/M$0.275/M
Output$8.00/M$4.40/M

OpenAI has a dedicated reasoning model line (o-series) with no direct Anthropic counterpart. If your workload benefits from chain-of-thought reasoning at the API level, OpenAI is your only option between these two providers.

Legacy Models Still Available

Both providers maintain older models at their original prices:

ProviderModelInputOutputStatus
OpenAIGPT-4.1$2.00$8.00Active
OpenAIGPT-4.1 mini$0.40$1.60Active
OpenAIGPT-4.1 nano$0.10$0.40Active
OpenAIGPT-4o$2.50$10.00Active
OpenAIGPT-4o mini$0.15$0.60Active
AnthropicClaude Sonnet 4.5$3.00$15.00Legacy
AnthropicClaude Opus 4.5$5.00$25.00Legacy

Notable: GPT-4.1 nano ($0.10 input / $0.40 output) is the cheapest model from either provider, and GPT-4o mini ($0.15 / $0.60) is close behind.

Caching: Where Anthropic Fights Back

Both providers offer prompt caching that dramatically reduces input costs for repeated context. The mechanics differ:

OpenAI: Automatic caching. Any repeated prefix is cached automatically. 50% discount on cached tokens. Simple — no code changes needed.

Anthropic: Explicit caching. You mark specific content blocks with cache_control breakpoints. 90% discount on cache hits. Requires code changes but gives you precise control.

The math: With 90% of input tokens hitting cache on both sides:

ScenarioGPT-5.4 effective inputClaude Opus 4.6 effective input
0% cache hit$2.50$5.00
50% cache hit$1.38$2.75
90% cache hit$0.48$0.95
100% cache hit$0.25$0.50

OpenAI maintains its 2x advantage at every cache-hit rate.

Real-World Cost Comparison

Scenario 1: Coding Assistant (10M input + 5M output per day)

GPT-5.4 mini (no caching):

  • Input: 10M × $0.75/M = $7.50
  • Output: 5M × $4.50/M = $22.50
  • Daily: $30.00 → $900/month

Claude Sonnet 4.6 (no caching):

  • Input: 10M × $3.00/M = $30.00
  • Output: 5M × $15.00/M = $75.00
  • Daily: $105.00 → $3,150/month

Difference: $2,250/month ($27,000/year). That’s significant even for well-funded teams.

With 80% cache-hit rate on input:

  • GPT-5.4 mini: (2M × $0.75 + 8M × $0.075) + (5M × $4.50) = $1.50 + $0.60 + $22.50 = $24.60/day → $738/month
  • Claude Sonnet 4.6: (2M × $3.00 + 8M × $0.30) + (5M × $15.00) = $6.00 + $2.40 + $75.00 = $83.40/day → $2,502/month

Even with aggressive caching, the gap remains ~$1,764/month.

Scenario 2: Customer Support Bot (50M input + 10M output per day)

GPT-5.4 nano:

  • Input: 50M × $0.20/M = $10.00
  • Output: 10M × $1.25/M = $12.50
  • Daily: $22.50 → $675/month

Claude Haiku 4.5:

  • Input: 50M × $1.00/M = $50.00
  • Output: 10M × $5.00/M = $50.00
  • Daily: $100.00 → $3,000/month

Difference: $2,325/month. For high-volume, lower-complexity tasks, OpenAI’s nano tier is unbeatable.

Scenario 3: Premium Analysis (1M input + 500K output per day)

GPT-5.4:

  • Input: 1M × $2.50/M = $2.50
  • Output: 0.5M × $15.00/M = $7.50
  • Daily: $10.00 → $300/month

Claude Opus 4.6:

  • Input: 1M × $5.00/M = $5.00
  • Output: 0.5M × $25.00/M = $12.50
  • Daily: $17.50 → $525/month

Difference: $225/month. At lower volumes, the absolute dollar difference shrinks. If Claude Opus gives you measurably better output quality, the premium may be worth it.

When to Choose OpenAI

  • High-volume production workloads — GPT-5.4 mini and nano are 3–5x cheaper than Anthropic’s equivalents
  • Async/batch processing — OpenAI’s batch API (50% off, no Anthropic equivalent) cuts costs further
  • Budget-conscious startups — GPT-5.4 nano at $0.20/M input has no competition
  • Reasoning tasks — o3 and o4-mini have no Anthropic counterpart
  • Multi-tier architecture — OpenAI’s 6 active models (nano → mini → full, across two generations) give you more price points to optimize

When to Choose Anthropic

  • Coding — Claude Sonnet 4.6 is widely considered the best coding model, and the quality difference may justify 3–4x the price
  • Long-context work — Claude’s 200K context window with explicit caching gives you precise control over what stays in context
  • Complex reasoning at the top end — Claude Opus 4.6 excels at nuanced analysis and creative tasks
  • Safety-critical applications — Anthropic’s constitutional AI approach may align better with your compliance requirements

Model Count Comparison

OpenAIAnthropic
Active models103
Budget options (< $0.50/M)40
Mid-range ($0.50–$3.00/M)42
Premium ($3.00+/M)21
Reasoning models20

OpenAI offers far more price points. Anthropic focuses on fewer, higher-quality models. Your choice depends on whether you value options or simplicity.

Our Verdict

For most teams, OpenAI is the better value in 2026. GPT-5.4 mini offers the best price-to-performance ratio in the industry, and the nano tier opens up use cases that would be cost-prohibitive with Anthropic. Try OpenAI →

The exception is coding. If code generation is your primary use case, Claude Sonnet 4.6 is worth the premium. Many engineering teams run a dual-provider setup: Claude for coding, OpenAI for everything else. Try Claude →

Use our token cost calculator to model your specific usage pattern, or check the full pricing comparison for all providers including Google, DeepSeek, and Mistral. For a head-to-head deep dive, see our ChatGPT vs Claude pricing comparison, and if you’re writing high-volume content, tools like Writesonic offer AI writing from $13/month with a free trial — a flat-rate alternative to paying per token.


Pricing data sourced directly from OpenAI’s pricing page and Anthropic’s pricing page. Updated daily. See our methodology for details.