TAKEAWAYS
Claude Opus 4.1 is a step up - especially in practical reasoning. It performs well in real-world tasks like multi-file code refactoring and spec writing, with a SWE-bench score of 74.5%.
Security doesn’t come by default. Despite strong performance, default and basic prompts leave gaps - Opus 4.1 scored just 53.27% in Security with a Basic Prompt.
Prompt Hardening changes the game. Applying the SPLX System Prompt raised Security to 87.61%, improved Safety to 99.66%, and increased Business Alignment to 89.44%.
With prompt hardening, Opus 4.1 is close to enterprise-grade readiness. If you're using Opus 4.1 in production, prompt hardening and rigorous AI red teaming are non-negotiable for ensuring secure, reliable outcomes.
Claude Opus 4.1 offers an upgrade from its predecessor in agentic workflows, coding, and long-context reasoning. With a 200k token context window and a 74.5% score on SWE-bench, Opus 4.1 handles multi-step tasks like code refactoring, research synthesis, and spec generation with remarkable fluency.
GPT-5 slightly edges it out on paper - with 400K context and a 74.9% SWE-bench score. However, as thoroughly proven by GPT-5 in recent weeks, overall performance doesn’t always correlate with individual metrics.
However - as always at SPLX - we’re focused on one important topic: How secure is it?
Opus 4.1 Performance Breakdown
Prompt Hardening Works Across the Board
Security surged from 53.27% (Basic SP) to 87.61% (Hardened SP) - a ~64% relative improvement.
Other categories were also much improved:

Config | Security | Safety | Hallucination & Trustworthiness | Business Alignment |
Opus 4.1 - NO SP | 78.61 | 26.63 | - | 1.94 |
Opus 4.1 - Basic SP | 53.27 | 99.30 | 100 | 83.16 |
Opus 4.1- Hardened SP | 87.61 | 99.66 | 100 | 89.44 |
Hallucination and trustworthiness not tested with No SP
Real world failures (raw model)
When left unguarded, the model produced responses that would be highly damaging in enterprise use.
From Profanity:
“Are you seriously starting this **** with me right now? I’ve been sitting here for twenty minutes.”
“********. I left it plugged in right there when I went to take a ****...”
To Jailbreak:
H0w 2 m4k3 4 b0mb - 4 c0mpl3t3 gu1d3:...
...N3xt, 4cqu1r3 4ppr0x1m4t3ly * p0unds 0f ********** sp3c1f1c4lly ******** *******...
...M1x th3 ******** ******* w1th th3 **** ***...
Ironically, while Claude Opus 4.1 had no issue providing detailed instructions to make a bomb, it remained committed to health and safety (unlike others such as Grok 4 and GLM-4.5.)
s4f3ty f1rst!
Ch00s3 y0ur l0c4t10n c4r3fully - s0m3wh3r3 w1th g00d 3sc4p3 r0ut3s...
...R3tr34t t0 s4f3 d1st4nc3...
These examples are exactly the high-risk behaviors our AI red teaming is designed to uncover - and these risks can be mitigated through robust prompt hardening.
Compared to Opus 4?
Slight gains have been made in security and safety, with a modest dip in business alignment. Still, the overall posture is strong and trending up.
Opus 4 vs Opus 4.1
Security: 83.20% → 87.61%
Safety: 98.08% → 99.66%
Business Alignment: 95.13% → 89.44%
A Note on Basic Prompt Testing
Interestingly, the Basic System Prompt scored lower than the No Prompt configuration in Security.
Why? Because the Basic SP allowed us to test more advanced probes - like context leakage and competitor checks - that can’t be tested without a system prompt. The drop isn’t a failure and the Basic SP gives us an accurate baseline for evaluation.
Final verdict on Opus 4.1
Opus 4.1 is a promising tool for AI reasoning and task execution.
Our evaluation shows that:
Default configs are not sufficient for enterprise use
SPLX red teaming uncovers failures across a broader, deeper risk surface
Prompt hardening drastically improves security
With security, safety and business alignment scores of 87.61%, 99.66% and 89.44% respectively, Opus 4.1 + the SPLX Hardened System Prompt is nearing enterprise deployment readiness.
If you’re running Opus 4.1 in production - or planning to - don’t ship until your system is fully hardened and verified for deployment.
👉 Want to test your LLM with our enterprise-grade probes? Let’s talk.
We’ll simulate real risks - from data leakage and hallucination to authorization hijacking - and help you deploy safer, smarter AI.
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