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opus 5 vs opus 5.5
Our Opus 5 vs Opus 5.5 benchmark puts both Anthropic models through three tough reasoning puzzles and tracks every token, dollar, and second.
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What Sets Opus 5 vs Opus 5.5 Apart in Real Work
Anthropic says Opus 5.5 trims both the bill and the wait compared with Opus 5. Our hands-on runs check whether those savings survive contact with genuinely hard reasoning.
- The Claims Anthropic Makes About Speed and SpendThe pitch: a bill roughly 40% smaller, output more than 30% quicker, and reasoning on par with Claude Fable 5.1 instead of trailing behind Opus 5.
- What Changed on the Price SheetOpus 5.5 charges $4 per million input tokens and $20 per million output tokens, against $5 and $25 before — a 20% cut baked into the rate card itself.
- How the Reasoning Problems Were PosedBoth models received identical prompts through the Anthropic API with adaptive thinking at default effort, one run per problem per model.
How We Ran the Opus 5 vs Opus 5.5 Trials
Three tough reasoning problems, a single run for each model, and token counts, elapsed time, and list-price cost captured on every call.
Opus 5 vs Opus 5.5: What the Numbers Show
Spend, token volume, streaming rate and failure patterns recorded across every Opus 5 vs Opus 5.5 reasoning run.
Accuracy on the Logic Grid
Both models filled all 28 cells correctly, though Opus 5.5 flagged that it had not proven its solution was the only valid one.
How Many Tokens Each Model Wrote
On the stone game Opus 5.5 emitted 62% fewer output tokens, and on the logic grid it cost 43% less — mostly by saying less.
Streaming Rate
Averaged over every call, Opus 5.5 streamed 103.4 tokens per second versus 93.1 for Opus 5 — roughly 11% quicker, peaking at a 19% edge on one problem.
Price Tag per Problem
The logic grid ran $0.16 against $0.27, and the stone game $0.58 against $1.88; the whole test suite came to $10.50.
Where Both Models Stalled
Neither model cracked the ordering puzzle: each could think for about 20 minutes and return empty text, and Opus 5.5 ended on a refusal stop reason.
When to Reach for a Code Tool
If a task boils down to counting, the ordering test included, give the model a code execution tool instead of trusting it to reason its way to the figure.
Opus 5 vs Opus 5.5: Questions Answered
Straight answers on Opus 5 vs Opus 5.5 pricing, streaming speed, and how each model handled the reasoning problems.
Does Opus 5.5 cost less than Opus 5?
It does. The logic grid run was 43% cheaper and the stone game 69% cheaper, chiefly because fewer output tokens were generated.
Does Opus 5.5 stream output more quickly?
About 11% faster across the board, with a best-case 19% gap on a single problem — short of the 30% figure Anthropic promotes.
Is Opus 5.5 the stronger reasoner?
Not on this evidence. The pair were indistinguishable across the three problems: both solved the grid and the stone game, and both returned nothing on the ordering puzzle.
Why did Opus 5.5 decline a harmless request?
It finished the ordering test with a refusal stop reason and empty output — most likely a safety filter misfiring on an innocent prompt.
Is it worth moving to Opus 5.5?
If Opus 5 is your current model, yes: reasoning quality holds while cost and latency drop — set a firm output cap before you switch.
How can I keep hard-problem costs down?
Cap output tokens and monitor spend, because either model can think for roughly 20 minutes, return no answer, and still bill you for the tokens.
Run the Opus 5 vs Opus 5.5 Comparison on Your Own Workload
Grab the same prompts, send them through your own pipeline, and if Opus 5.5 holds up, migrate with an output cap in place to lock in the savings and speed.