Savings estimate · prices checked 2026-11-03

Claude Sonnet 5.5 vs Levanto Sage 2 for classification calls

List prices

Model$ per M input$ per M outputSource
Claude Sonnet 5.5$2$10Anthropic pricing
Claude Haiku 5.5$0.1$0.5Anthropic pricing
Levanto Sage 2$0.05$1Levanto list price

Checked 2026-11-03. Same table the public prices endpoint serves. Prices change; the audit always uses the current table.

Cost per call: our assumptions

  • 500 input tokens per call (a ~100-token message plus a 400-token prompt, the audit’s defaults).
  • 5 visible output tokens (“yes”/“no” plus formatting).
  • 320 reasoning tokens at Claude Sonnet 5.5’s API default effort (high), billed as output. This is our estimate, not a provider figure.
  • Levanto Sage 2 charged the same 500 input tokens (conservative: it needs no instruction prompt) and 2 output tokens, since it returns a decision and a probability.

That gives an estimated $4.25 per 1,000 calls on Claude Sonnet 5.5, against $0.027 on Levanto Sage 2.

Effort level changes the bill

Reasoning tokens are billed at the output price, so the effort setting can change Claude Sonnet 5.5’s cost a lot. Estimated cost per 1,000 calls by effort level:

EffortEst. reasoning tokensPer 1,000 calls
low40$1.45
medium120$2.25
high (API default)320$4.25
xhigh800$9.05
max1600$17.05

If a lower effort still gives the answers you need, that is a saving with no new vendor. Test it the same way.

Monthly estimate by volume

“Share kept” is a scenario, not a prediction: the share of calls where Levanto Sage 2 is confident enough to keep. The rest go to Claude Sonnet 5.5 too, so the hybrid pays for both on those calls.

Calls / monthAll on Claude Sonnet 5.5Hybrid, 50% kept70% kept90% kept
10,000$42.50$21.52$13.02$4.52
100,000$425$215$130$45.20
1,000,000$4,250$2,152$1,302$452

Estimates at the assumptions above. A full switch to Levanto Sage 2 would cost $2.70 at 100,000 calls, but only makes sense if it agrees with Claude Sonnet 5.5 on nearly everything.

When the switch is worth it

The audit only recommends a hybrid when it is at least 30% cheaper than staying put. With these prices that needs Levanto Sage 2 to keep at least 31% of calls at your agreement target. Below that, the saving rarely pays for the change.

  • Good fit: the same yes/no or labelling prompt runs thousands of times (lead qualification, ticket triage, spam or intent checks, field extraction).
  • Keep Claude Sonnet 5.5: free-text answers, tool use, multi-step reasoning, or inputs that differ a lot call to call.

Check it on your own calls

Paste 10 to 25 inputs with the answers Claude Sonnet 5.5 already gave into the free cutover audit. It measures agreement, picks the confidence threshold that holds your target and projects the cost with your token counts. How it works · Choosing a threshold · Other model pairs · Claude Sonnet 5.5 extraction cost · Reasoning effort cost

Run the free audit with Claude Sonnet 5.5

Questions

Can Levanto Sage 2 replace Claude Sonnet 5.5 completely?

Only for narrow yes/no and field-extraction calls, and only if it agrees with Claude Sonnet 5.5 on your inputs. Levanto Sage 2 does not write free text, call tools or reason across steps. For those calls keep Claude Sonnet 5.5.

Are these numbers real bills?

No. They are estimates from list prices (checked 2026-11-03) and the token counts stated on this page, including our own estimate of 320 reasoning tokens per call at Claude Sonnet 5.5’s default effort. Batch, cached-input and committed-use discounts are not included. Your measured token counts will differ.

What does “share kept” mean?

The share of calls where Levanto Sage 2 is confident enough that you keep its answer. The rest go to Claude Sonnet 5.5 as well. It is a property of your task, not of the model, so the audit measures it on your own samples.

Is Claude Haiku 5.5 a better option?

It may be, and it keeps you with one provider. At the same assumptions it costs about $0.113 per 1,000 calls. The free audit tests Levanto Sage 2 today; you can compare Claude Haiku 5.5 in the routing calculator.