Claude vs ChatGPT for Business: The Gap Is in the Output Price

Ask which is better, Claude or ChatGPT, and you will get a benchmark answer that expires in a fortnight. Ask which is cheaper and you will usually get the input price, which for most business work is the smaller half of the bill.

The useful comparison is the one almost nobody prints: what you pay for what the model writes back, and what happens to that number when the conversation gets long. Both vendors publish it. Neither leads with it.

Disclosure up front: Anchor Sprint is a member of the Anthropic Claude Partner Network, so we have a stated preference. There is a category below where OpenAI is clearly cheaper and we say so. Weigh our position accordingly.

The numbers, from both vendors' own pages

Taken from Anthropic's and OpenAI's published pricing on 11 August 2026.

OpenAI's current range prices in two context tiers — short context and long context:

• gpt-5.6-sol — short context $5.00 input, $30.00 output. Long context $10.00 input, $45.00 output.
• gpt-5.6-terra — $2.00 input, $12.00 output.
• gpt-5.6-luna — $0.20 input, $1.20 output.
• gpt-5.5-pro — $30.00 input, $180.00 output.

Anthropic's current range prices flat across a 1 million token window:

• Claude Fable 5 — $10 input, $50 output.
• Claude Opus 5 — $5 input, $25 output.
• Claude Sonnet 5 — $2 input, $10 output on introductory pricing through 31 August 2026; $3 and $15 from 1 September.
• Claude Haiku 4.5 — $1 input, $5 output.

Now put the flagships next to each other and watch what happens as the conversation grows.

The comparison inverts as context grows

On short prompts, gpt-5.6-sol and Claude Opus 5 both charge $5 per million input tokens. Identical. Output is $30 against $25 — a modest Claude advantage.

On long prompts, gpt-5.6-sol moves to $10 input and $45 output. Claude Opus 5 has not moved: still $5 and $25.

That is double the input price and 80% more on output, for the same work, decided entirely by how much context you sent.

This is the same structural pattern we found comparing Claude against Gemini, where Gemini's rate doubles past 200k tokens. Context-tiered pricing is the industry norm. Anthropic's flat rate across its full window is the outlier. That is worth stating plainly, because it means the comparison you run at demo scale is not the comparison you will be billed at in production.

Why output is where the money actually goes

Input is what you send. Output is what the model writes. For a great deal of business work, output is the expensive half — and it is priced between four and six times higher than input across both vendors' ranges.

Think about what your workload actually produces. A summarisation agent reads a lot and writes a little; input-heavy, and the input price matters. A drafting agent — proposals, reports, customer replies, documentation — reads a brief and writes at length. Output-heavy. So does a coding agent. So does anything that generates a document.

For those, comparing on input price tells you almost nothing about the invoice.

There is a second effect worth knowing: reasoning-heavy models spend tokens thinking before they answer, and that thinking is billed as output. Google states this explicitly in its Gemini pricing. The practical consequence across all vendors is that analytical work bills more like generation than like retrieval, and it varies with how hard the model decides to think. Budget with headroom on anything that reasons.

Where OpenAI is genuinely cheaper

Two places, and they are real.

The very bottom of the range. gpt-5.6-luna runs $0.20 input and $1.20 output. Claude Haiku 4.5 is $1.00 and $5.00 — five times the input price and roughly four times the output. For high-volume, low-judgement work — routing, tagging, extracting one field from a known format — that is not a rounding difference. If you are running millions of trivial classifications a month, OpenAI's floor is meaningfully lower and you should use it.

Short-context, output-light work. If your calls are small and the replies are short, gpt-5.6-terra at $2.00 and $12.00 is competitive with anything in the Claude range.

The place OpenAI is not cheaper is the top. gpt-5.5-pro at $30 input and $180 output is three times Claude Fable 5's $10 and $50. If your instinct is to reach for the most capable model available, check that number against what it is actually buying you.

Caching works the same way on both

Both vendors charge cached input at roughly 10% of base input — OpenAI's cached input on gpt-5.6-sol is $0.50 against $5.00 base, and Anthropic's cache hits are 10% of base across the range.

The lever is identical and it is large. An agent re-sends the same system prompt, the same tool definitions and the same policy documents on every call. Cached, that stable prefix costs a tenth. Uncached, you pay full rate for identical bytes thousands of times a day.

This is worth more than switching vendors. We have seen caching change a bill by more than any model swap would have, and unlike a swap it changes nothing about output quality. If caching is not implemented, arguing about Claude versus ChatGPT is optimising the wrong variable.

What actually decides it in practice

Price is rarely the deciding factor, and pretending otherwise would be dishonest. In the work we do across Malaysia and Singapore, three things decide it more often.

Which suite the company already runs. A Microsoft 365 shop reaches ChatGPT through Copilot with no integration effort. That is a genuine advantage and it regularly outweighs a model preference. The same is true of Google Workspace and Gemini.

Whether output is reviewed before it matters. If a human reads everything before it goes anywhere, buy the cheaper tier from either vendor. If output flows unreviewed into a ledger, a CRM or a customer's inbox, buy capability — the cost of a wrong answer that looks right exceeds anything you save. We worked through that trade-off within the Claude range in Claude Opus 5 vs Sonnet 5.

Whether you can prove it works. This is where we have a view. Most of a production agent is not the model — it is integration, permissions, an evaluation harness and the operational plumbing around it. Whichever vendor you pick, the thing that determines whether it survives contact with a real business is whether you can measure it. That discipline is documented in our scorecard guide and applied across the builds in our use-case directory.

A short decision list

1. Is prompt caching implemented? If not, do that first on either vendor. Bigger lever than the choice itself.
2. Millions of trivial, low-judgement calls? gpt-5.6-luna at $0.20 / $1.20. OpenAI's floor is genuinely lower.
3. Long-running agents that accumulate context? Price OpenAI's long-context tier honestly, then compare to Claude's flat rate. This is where the gap opens widest.
4. Output-heavy work — drafting, reporting, code? Compare output prices, not input. It is the larger half.
5. Already standardised on Microsoft 365? The integration advantage is real. Weigh it.
6. Reaching for the most capable model available? Check gpt-5.5-pro's $30 / $180 against Fable 5's $10 / $50 before you commit.

The honest summary

On short prompts the two flagships are close, with Claude slightly ahead on output. As context grows, OpenAI's rate steps up and Claude's does not, and the gap widens to roughly double on input. OpenAI owns the cheap end outright. OpenAI's premium tier costs three times Anthropic's.

Compare on the shape of your workload — how long the sessions run, and how much the model writes — rather than on the input price that every comparison table leads with. And cache your prompts before you argue about any of it.

On fairness and timing. All pricing here was taken from Anthropic's and OpenAI's own published documentation on 11 August 2026. AI pricing changes frequently — verify current rates before committing budget. Anchor Sprint is a member of the Anthropic Claude Partner Network and has a disclosed preference for Claude. We are not affiliated with, authorised by, or endorsed by OpenAI. ChatGPT and GPT are trademarks of OpenAI; Claude and Anthropic are trademarks of Anthropic, PBC.