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Anthropic vs OpenAI

A comparison of Anthropic and OpenAI built from values read directly from each provider's own documentation, with the source recorded against every figure.

Updated 8 criteria compared

The short answer

Pick Anthropic if
Teams that want the full 1M-token window at the standard per-token rate rather than a long-context surcharge, and that can use caching and batch to cut a frontier-model bill roughly in half.
Pick OpenAI if
Work that fits inside the short-context rate, where the cheapest tier is $0.20 per million input tokens and the batch tier halves everything above it.

7 sourced criteria separate them:

Pricing model
Anthropic: Per million tokens, priced separately for input and output and per model, with multipliers stacked on top: prompt caching, a 50% batch discount, a 1.1x uplift for US-only inference on Claude 4.6 and later, and a fast-mode premium.
OpenAI: Per million tokens, with a second rate above the short-context threshold — long-context input and output cost roughly double. Batch, Flex, Fast and standard tiers are priced separately, and regional processing adds a 10% uplift on models released from March 2026.
Input price, top model
Anthropic: $10 per million input tokens for Claude Fable 5.1, the most capable model. Claude Opus 5 is $5 and Claude Sonnet 5 is $2.
OpenAI: $10 per million input tokens for gpt-6-astra at short context, rising to $20 above the short-context threshold. gpt-5.6-sol is $4 and gpt-5.6-terra $2.
Output price, top model
Anthropic: $50 per million output tokens for Claude Fable 5.1. Claude Opus 5 is $25 and Claude Sonnet 5 is $10.
OpenAI: $50 per million output tokens for gpt-6-astra at short context, $75 at long context.
Input price, cheapest model
Anthropic: $1 per million input tokens for Claude Haiku 4.5, the cheapest current model, with output at $5.
OpenAI: $0.20 per million input tokens for gpt-5.6-luna at short context, with output at $1.20.
Context window
Anthropic: 1M tokens on Claude Fable 5.1, Claude Opus 5 and Claude Sonnet 5; 200K on Claude Haiku 4.5. Anthropic states the full 1M window is billed at standard per-token rates.
OpenAI: 1,050,000 tokens on gpt-6-astra, of which at most 922,000 may be input.
Max output tokens
Anthropic: 128K tokens on the top three models, 64K on Claude Haiku 4.5. The Batch API supports up to 300K output tokens on several models behind a beta header.
OpenAI: 128,000 tokens on gpt-6-astra.
Batch discount
Anthropic: 50% off both input and output tokens through the Batch API, for asynchronous processing.
OpenAI: 50% off input and output through the Batch API: gpt-6-astra falls from $10/$50 to $5/$25 at short context.

No affiliate links, sponsored placements or paid rankings appear on this site. Ordering follows the sourced data and the stated criteria.

01.

At a glance.

CriterionAnthropicOpenAI
Pricing
Pricing modelPer million tokens, priced separately for input and output and per model, with multipliers stacked on top: prompt caching, a 50% batch discount, a 1.1x uplift for US-only inference on Claude 4.6 and later, and a fast-mode premium.Per million tokens, with a second rate above the short-context threshold — long-context input and output cost roughly double. Batch, Flex, Fast and standard tiers are priced separately, and regional processing adds a 10% uplift on models released from March 2026.
Inference
Input price, top model
$10 per million input tokens for Claude Fable 5.1, the most capable model. Claude Opus 5 is $5 and Claude Sonnet 5 is $2.
$10 per million input tokens for gpt-6-astra at short context, rising to $20 above the short-context threshold. gpt-5.6-sol is $4 and gpt-5.6-terra $2.
Output price, top model
$50 per million output tokens for Claude Fable 5.1. Claude Opus 5 is $25 and Claude Sonnet 5 is $10.
$50 per million output tokens for gpt-6-astra at short context, $75 at long context.
Input price, cheapest model
$1 per million input tokens for Claude Haiku 4.5, the cheapest current model, with output at $5.
$0.20 per million input tokens for gpt-5.6-luna at short context, with output at $1.20.
Context window
1M tokens on Claude Fable 5.1, Claude Opus 5 and Claude Sonnet 5; 200K on Claude Haiku 4.5. Anthropic states the full 1M window is billed at standard per-token rates.
1,050,000 tokens on gpt-6-astra, of which at most 922,000 may be input.
Max output tokens
128K tokens on the top three models, 64K on Claude Haiku 4.5. The Batch API supports up to 300K output tokens on several models behind a beta header.
128,000 tokens on gpt-6-astra.
Prompt cachingSupportedSupported
Batch discount50% off both input and output tokens through the Batch API, for asynchronous processing.50% off input and output through the Batch API: gpt-6-astra falls from $10/$50 to $5/$25 at short context.

Only criteria both providers publish appear here; a tinted cell marks a real difference. Criteria only one of them documents are listed below, and an absence there means we found no source — not that the feature is missing. How we source this.

The small bar above a value is inetGeek's own lean toward that side — computed from the same facts shown, never a number the provider published. See the picker below "The short answer" to weigh only the criteria you care about.

02.

Where they differ.

Pricing model

Anthropic
Per million tokens, priced separately for input and output and per model, with multipliers stacked on top: prompt caching, a 50% batch discount, a 1.1x uplift for US-only inference on Claude 4.6 and later, and a fast-mode premium.
OpenAI
Per million tokens, with a second rate above the short-context threshold — long-context input and output cost roughly double. Batch, Flex, Fast and standard tiers are priced separately, and regional processing adds a 10% uplift on models released from March 2026.
Sources (2) →
  • Pricing — Claude Docs ↗

    “This page provides detailed pricing information for Anthropic's models and features. All prices are in USD. [...] These multipliers stack with other pricing modifiers, including the Batch API discount and data residency. [...] specifying US-only inference through the inference_geo parameter incurs a 1.1x multiplier on all token pricing categories”

    Read 2026-09-06 · official pricing

  • Pricing — OpenAI API docs ↗

    “Prices per 1M tokens. [...] Regional processing (data residency) endpoints are charged a 10% uplift for models released on or after March 5, 2026 [...] Priority processing was renamed Fast mode on July 30, 2026.”

    Read 2026-09-06 · official pricing

Input price, top model

Anthropic
$10 per million input tokens for Claude Fable 5.1, the most capable model. Claude Opus 5 is $5 and Claude Sonnet 5 is $2.
OpenAI
$10 per million input tokens for gpt-6-astra at short context, rising to $20 above the short-context threshold. gpt-5.6-sol is $4 and gpt-5.6-terra $2.
Sources (2) →
  • Pricing — Claude Docs ↗

    “Claude Fable 5.1 | $10 / MTok | $12.50 / MTok | $20 / MTok | $0.25 / MTok | $50 / MTok [...] Claude Opus 5 | $5 / MTok [...] Claude Sonnet 5 | $2 / MTok”

    Read 2026-09-06 · official pricing

  • Pricing — OpenAI API docs ↗

    “| gpt-6-astra | $10.00 | $1.00 | $12.50 | $50.00 | $20.00 | $2.00 | $25.00 | $75.00 | [...] | gpt-5.6-sol | $4.00 [...] | gpt-5.6-terra | $2.00”

    Read 2026-09-06 · official pricing

Output price, top model

Anthropic
$50 per million output tokens for Claude Fable 5.1. Claude Opus 5 is $25 and Claude Sonnet 5 is $10.
OpenAI
$50 per million output tokens for gpt-6-astra at short context, $75 at long context.
Sources (2) →
  • Pricing — Claude Docs ↗

    “Claude Fable 5.1 | $10 / MTok | [...] | $50 / MTok [...] Claude Opus 5 | [...] $25 / MTok [...] Claude Sonnet 5 | [...] $10 / MTok”

    Read 2026-09-06 · official pricing

  • Pricing — OpenAI API docs ↗

    “| gpt-6-astra | $10.00 | $1.00 | $12.50 | $50.00 | $20.00 | $2.00 | $25.00 | $75.00 |”

    Read 2026-09-06 · official pricing

Input price, cheapest model

Anthropic
$1 per million input tokens for Claude Haiku 4.5, the cheapest current model, with output at $5.
OpenAI
$0.20 per million input tokens for gpt-5.6-luna at short context, with output at $1.20.
Sources (2) →
  • Pricing — Claude Docs ↗

    “Claude Haiku 4.5 | $1 / MTok | $1.25 / MTok | $2 / MTok | $0.10 / MTok | $5 / MTok”

    Read 2026-09-06 · official pricing

  • Pricing — OpenAI API docs ↗

    “| gpt-5.6-luna | $0.20 | $0.02 | $0.25 | $1.20 | $0.40 | $0.04 | $0.50 | $1.80 |”

    Read 2026-09-06 · official pricing

Context window

Anthropic

1M tokens on Claude Fable 5.1, Claude Opus 5 and Claude Sonnet 5; 200K on Claude Haiku 4.5. Anthropic states the full 1M window is billed at standard per-token rates.

OpenAI

1,050,000 tokens on gpt-6-astra, of which at most 922,000 may be input.

Sources (2) →

Max output tokens

Anthropic

128K tokens on the top three models, 64K on Claude Haiku 4.5. The Batch API supports up to 300K output tokens on several models behind a beta header.

OpenAI

128,000 tokens on gpt-6-astra.

Sources (2) →
  • Models overview — Claude Docs ↗

    “Max output | 128K tokens | 128K tokens | 128K tokens | 64K tokens [...] On the Message Batches API, Claude Opus 5, Claude Sonnet 5 [...] support up to 300k output tokens with the output-300k-2026-03-24 beta header.”

    Read 2026-09-06 · official docs

  • gpt-6-astra — OpenAI API docs ↗

    “- 128,000 max output tokens”

    Read 2026-09-06 · official docs

Batch discount

Anthropic
50% off both input and output tokens through the Batch API, for asynchronous processing.
OpenAI
50% off input and output through the Batch API: gpt-6-astra falls from $10/$50 to $5/$25 at short context.
Sources (2) →
  • Pricing — Claude Docs ↗

    “The Batch API allows asynchronous processing of large volumes of requests with a 50% discount on both input and output tokens.”

    Read 2026-09-06 · official pricing

  • Pricing — OpenAI API docs ↗

    “Batch pricing data | Model | Short context input [...] | gpt-6-astra | $5.00 | $0.50 | $6.25 | $25.00 | $10.00 | $1.00 | $12.50 | $37.50 |”

    Read 2026-09-06 · official pricing

03.

Which should you choose?

Choose Anthropic if…

Teams that want the full 1M-token window at the standard per-token rate rather than a long-context surcharge, and that can use caching and batch to cut a frontier-model bill roughly in half.

Editorial · Palash Bagchi · approved

Choose OpenAI if…

Work that fits inside the short-context rate, where the cheapest tier is $0.20 per million input tokens and the batch tier halves everything above it.

Editorial · Palash Bagchi · approved

Consider something else if…

  • Anthropic: Its cheapest model is $1 per million input tokens, several times what the budget tiers at Google, OpenAI and DeepSeek charge, so high-volume simple work is priced against you.
  • OpenAI: Long prompts cross into the long-context rate and roughly double the bill, which is a cliff the flat-rate vendors do not have.
04.

Questions this comparison answers.

Should I choose Anthropic or OpenAI?

Pick Anthropic if Teams that want the full 1M-token window at the standard per-token rate rather than a long-context surcharge, and that can use caching and batch to cut a frontier-model bill roughly in half.

Pick OpenAI if Work that fits inside the short-context rate, where the cheapest tier is $0.20 per million input tokens and the batch tier halves everything above it.

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