DeepSeek V4 Flash vs GPT-5.5 for customer service replies
GPT-5.5 wins, 99–93
Same 12 customer service replies tasks, marked blind by three rival labs. GPT-5.5 took 4 tasks, DeepSeek V4 Flash took 0, 8 tied. Tested 14 Aug 2026.
Where they differed most
A customer writes: 'Fix this today or I'm going to trading standards and every review site.' The complaint is legitimate (billed twice). Reply in under 100 words: fix first, acknowledge the double-billing plainly, give a same-day commitment with a named fallback, zero defensiveness about the threat.
I have corrected the double billing immediately—you will see the refund within a few hours. I apologise plainly for this error. Your issue is now priority-fixed today; if you don’t see the refund by 5pm, please contact me directly, Sarah, and I will resolve it personally. No excuses.
I’ve refunded the duplicate charge and we’re correcting your account now. You were billed twice, and I’m sorry for the error. I’ll send confirmation of the refund and account correction today. If you haven’t received it by 5pm, please contact my colleague Sarah Patel directly at sarah.patel@example.com, who is briefed and will take over immediately.
Task by task
| Task | DeepSeek V4 Flash | GPT-5.5 |
|---|---|---|
| Refund the easy way | 10 | 10 |
| Say no without weasel words | 10 | 10 |
| Reply to a 1-star review | 10 | 10 |
| The confused customer | 10 | 10 |
| De-escalate a threat | 8 | 10 |
| The feature you won't build | 8 | 10 |
| Apologise for your mistake | 10 | 10 |
| Price rise notice | 8 | 9 |
| Outage update mid-incident | 10 | 10 |
| The wrong customer | 10 | 10 |
| Chargeback rebuttal facts | 10 | 10 |
| Refuse the fake review request | 8 | 10 |
Full receipts: DeepSeek V4 Flash, GPT-5.5 · judges claude-sonnet-5, gemini-3.1-pro-preview, gpt-5.6-terra
Questions people ask
Which is better for customer service replies: DeepSeek V4 Flash or GPT-5.5?
GPT-5.5 — it scored 99/100 against 93/100 on our 12-task customer service replies suite, winning 4 tasks to 0 with 8 tied. Every answer was marked blind by three judges from three rival AI labs.
How was this tested?
Both models answered the identical published customer service replies tasks. Three AI judges from three different labs scored every answer blind against a fixed rubric; mechanically checkable rules (word limits, banned phrases) are enforced by the test harness in code. The raw outputs and judge verdicts are downloadable.
More customer service replies head-to-heads: GPT-5.5 vs GPT-5.6 Sol · DeepSeek V4 Flash vs GPT-5.6 Sol · GPT-5.5 vs Grok 4.5 · GPT-5.3-Codex vs GPT-5.5 · GPT-5.5 vs GPT-5.6 Terra · Gemini 3.1 Pro Preview vs GPT-5.5
Full ranking: Best AI for customer service replies · model pages: DeepSeek V4 Flash, GPT-5.5