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opus 5 vs opus 5.5
See how opus 5 vs opus 5.5 performs on tough reasoning: matching answers, much lower token spend, and noticeably quicker output from the same API prompts.
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What the Opus 5 vs Opus 5.5 Upgrade Really Changes
Anthropic says the newer model cuts prices and speeds up responses. We put opus 5 vs opus 5.5 through practical reasoning workloads to see whether those benefits appear in real API calls.
- Vendor Promises: Lower Bills, Faster RepliesThe official pitch for opus 5 vs opus 5.5 points to about 40% lower spending, over 30% quicker generation, and reasoning quality on par with Claude Fable 5.1 instead of behind Opus 5.
- Revised API RatesInput tokens now cost $4 per million and output tokens $20 per million, versus $5 and $25 before—a rate cut that alone trims about 20% from the bill.
- How We Set Up the Reasoning TestsBoth models received the same prompts through the Anthropic API, using adaptive thinking at default effort and a single run for each problem and model.
How We Ran the Opus 5 vs Opus 5.5 Benchmarks
Each model tackled three difficult reasoning tasks once, while we recorded token counts, elapsed time, and list-price cost for every request.
Opus 5 vs Opus 5.5: Key Results Side by Side
We tracked spend, token output, generation speed, and failure behavior across every opus 5 vs opus 5.5 reasoning run.
Logic Grid Correctness
In the opus 5 vs opus 5.5 logic grid test, both models filled all 28 cells correctly; the newer model also cautioned that it had not formally proved the solution was unique.
Output Token Savings
On the stone game, the newer model produced 62% fewer output tokens; on the logic grid it cost 43% less, mainly by writing shorter responses.
Generation Throughput
Overall, the newer model generated 103.4 tokens per second versus 93.1 for the older one—about 11% quicker, with a 19% edge on its best single problem.
Spend by Task
The logic grid cost $0.16 instead of $0.27, and the stone game cost $0.58 instead of $1.88; the full test suite totaled $10.50.
Failure Modes on Hard Tasks
Neither model solved the ordering puzzle; each could spend about 20 minutes reasoning and return no answer, and the newer model ended with a refusal stop reason.
When to Use a Code Tool
If a problem is mainly about counting, as the ordering test was, give the model a code execution tool instead of relying on pure reasoning to reach the number.
Opus 5 vs Opus 5.5: Common Questions
Answers on opus 5 vs opus 5.5 pricing, response speed, reasoning quality, refusals, and cost control.
Does Opus 5.5 cost less than Opus 5?
Yes. In the opus 5 vs opus 5.5 benchmark, it was 43% less expensive on the logic grid and 69% less expensive on the stone game, largely because it generated fewer output tokens.
Is Opus 5.5 quicker than Opus 5?
Yes, about 11% faster overall and up to 19% faster on one problem, though that still falls short of the 30% gain Anthropic advertises.
Does Opus 5.5 reason more accurately?
No. Across the three tasks they performed the same: both solved the logic grid and stone game and both failed the constrained ordering puzzle.
Why did Opus 5.5 reject a harmless request?
During the ordering test it ended with a refusal stop reason and no output, most likely a safety filter incorrectly flagging a benign request.
Should I migrate to Opus 5.5?
If you already use Opus 5, yes: reasoning answers remain the same while cost and latency drop—just set a firm output limit first.
How can I keep hard-problem costs under control?
Cap output tokens and monitor usage, because either model can think for about 20 minutes, return nothing, and still bill for the tokens it used.
Run Your Own Opus 5 vs Opus 5.5 Comparison
Use the same prompts on your own workload, test both models, then adopt Opus 5.5 with a strict output cap to capture the savings and speed improvements.
