Pricing Comparison: OpenAI versus Anthropic - a comparison for AI product builders

OpenAI and Anthropic price their flagships within dollars of each other, and that is where the similarity ends. The real differences sit in the tokenizer, the premium tiers, and how each company moves its AI token pricing over time.

OpenAI vs Anthropic at a glance

Takeaway: The rate cards are close at the top. Anthropic's tokenizer adds roughly 30% more tokens per text, and OpenAI's premium reasoning tier costs 6x its flagship. Read the fine print on both.

Model overview

OpenAI's current lineup is the gpt-5.6 family, launched July 9, 2026. gpt-5.6-sol is the flagship at $5 / $30, gpt-5.6-terra the mid tier at $2.50 / $15, and gpt-5.6-luna the value pick within the family at $1 / $6. The gpt-5.5 and gpt-5.4 generations stay on the card, with gpt-5.5-pro as the premium reasoning option and gpt-5.4-nano as the cheapest model at $0.20 / $1.25.

Anthropic sells four tiers. Claude Fable 5, launched in July 2026, is a new premium tier at $10 / $50 with 1M context at standard rates. Claude Opus 4.8 is the flagship at $5 / $25. Claude Sonnet 5 is the mid pick at an introductory $2 / $10 that rises to $3 / $15 on September 1, 2026. Claude Haiku 4.5 is the value tier at $1 / $5.

Key features

Pricing snapshot

Prices verified July 13, 2026. Providers reprice often, see the update timeline below.

OpenAI API pricing

Standard tier, per 1M tokens, prompts up to 200k. Long-context rates where noted.

Batch API: roughly 50% off. Cached input: 10x cheaper than base input. Web search tool: $10 per 1k calls.

Anthropic API pricing

Per 1M tokens.

Batch API: 50% off. Cache reads: 0.1x input price. Web search: $10 per 1k searches.

Chat plans

What this costs at a real workload

The standardized scenario: 1,000 requests per day at roughly 1,000 input and 1,000 output tokens each, which works out to about 30M input and 30M output tokens per month. Monthly cost = 30 x input rate + 30 x output rate.

Tokenizer caveat for the Claude rows: Fable 5, Sonnet 5, and Opus 4.7+ use a new tokenizer that produces roughly 30% more tokens for the same text. Comparing per-token rates across providers understates Anthropic's effective cost per request by about that margin. Rate cards don't tell you what the invoice will say. The tokenizer does.

On the rate card, Opus 4.8 at $900 per month undercuts gpt-5.6-sol at $1,050. Apply the roughly 30% tokenizer effect and the two swap places. Claude Fable 5 at $1,800 has no OpenAI counterpart below gpt-5.5-pro.

The spread across all six providers is 143x between the most and least expensive model for the same workload. The full 15-row table is on the AI Pricing Index. For how per-token rates turn into unit economics, see token economics.

Timeline of past updates

OpenAI

• July 9, 2026: gpt-5.6 family launch. Sol at $5 / $30, terra at $2.50 / $15, luna at $1 / $6

• April 24, 2026: gpt-5.5 launch at $5 / $30, doubling flagship input over gpt-5.4

• April 9, 2026: ChatGPT Pro $100 tier added below the $200 tier

• April 2, 2026: Team plan renamed Business, $25/user/mo

• March 5, 2026: gpt-5.4 family launch at $2.50 / $15, doubling over gpt-5

• August 2025: GPT-5 launch at $1.25 / $10

Trajectory: Flagship input went $1.25 to $2.50 to $5.00 in under a year. 4x.

Anthropic

• July 2026: Claude Fable 5 launch at $10 / $50, a new tier priced above Opus

• July 2026: Opus 4.7 fast mode ($30 / $150) deprecated, Opus 4.8 fast mode at $10 / $50

• June 30, 2026: Sonnet 5 launch with a new tokenizer that produces roughly 30% more tokens per text, an effective price change that never appears on the rate card

• June 30, 2026: Sonnet 5 introductory pricing announced at $2 / $10 through August 31, 2026, then $3 / $15. A pre-announced price increase, rare in this market

• November 2025: Opus 4.5 launched at $5 / $25, down from Opus 4.1's $15 / $75. A 3x cut

• October 2025: Haiku 4.5 at $1 / $5, up from Haiku 3.5's $0.80 / $4

Trajectory: Mixed. A big flagship cut in 2025, then upward drift via the premium tier, fast mode, the tokenizer, and the scheduled Sonnet increase.

The AI Pricing Index

Both providers logged 6 price events in 12 months, but with different shapes. OpenAI moved its flagship input up 4x through successive launches. Anthropic cut its flagship 3x in late 2025, then drifted back up through the premium tier, fast mode, the tokenizer, and the scheduled Sonnet increase. Anthropic is also the only provider on the index that pre-announces increases, which buys you 6 weeks of notice instead of none.

The index counts documented list-price events per provider over the trailing 12 months, recounted monthly. Full methodology and all six provider timelines are on the AI Pricing Index.

What this means for your own pricing

If you build on OpenAI, Anthropic, or both, this pricing complexity becomes your pricing complexity. Four problems show up regardless of which side you pick.

• The margin problem. Every user interaction has variable cost. A power user generating long responses on a flagship model costs 10-50x more than a casual user on a value model. Per-seat pricing doesn't see this. You need usage-aware billing to protect margins.

• The model mix problem. Products route different requests to different models, and the table above shows the cost range that creates inside a single product. Your billing system needs to know which model served which request and price accordingly.

• The credit translation problem. Many AI products abstract provider costs with credit-based pricing. That means maintaining a conversion layer from usage to credits to dollars. Every provider price event forces you to re-derive the conversion rates.

• The visibility problem. Finance needs margin by customer, by feature, by model, by month. If your metering system lives apart from your billing system, that reconciliation happens in spreadsheets.

The index above adds the repricing angle: these two providers logged 12 price events in 12 months between them. Each one forces you to re-derive your own margins, credit conversion rates, and FX exposure. Solvimon runs that layer: metering per provider, credits and wallets as first-class primitives, rate cards you update without an engineering sprint. See Solvimon for AI.

Related

• Anthropic vs Gemini pricing. Claude and Gemini API pricing, side by side.

• Anthropic vs DeepSeek pricing. A 23x flagship cost gap on the same workload.

• Kimi K3 vs the frontier. What an open-weight model at frontier prices means for closed-lab margins.