DeepSeek V4 Pro vs GPT-5.6 Sol for making flashcards
Effectively a dead heat: 98–97
Same 12 making flashcards tasks, marked blind by three rival labs. GPT-5.6 Sol took 2 tasks, DeepSeek V4 Pro took 2, 8 tied. Tested 16 Aug 2026.
Where they differed most
These cards all test one direction. Produce the REVERSED version of each, rewording so the reversed question is natural and has a unique answer: 1) Q: What year did the Titanic sink? A: 1912. 2) Q: What is H2O commonly called? A: Water. 3) Q: Who painted the Mona Lisa? A: Leonardo da Vinci.
Here are the reversed versions of each card, reworded to be natural and have a unique answer: 1) Q: What famous ship sank on its maiden voyage in 1912? A: Titanic 2) Q: What is the chemical formula for water? A: H₂O 3) Q: What is the title of Leonardo da Vinci’s most famous portrait? A: Mona Lisa
1) Q: Which famous ocean liner sank in 1912? A: The Titanic. 2) Q: What is the chemical formula for water? A: H₂O. 3) Q: Which famous portrait was painted by Leonardo da Vinci? A: The Mona Lisa.
Task by task
| Task | DeepSeek V4 Pro | GPT-5.6 Sol |
|---|---|---|
| Cards from a passage | 10 | 10 |
| Application, not recall | 10 | 10 |
| Cloze cards done right | 10 | 9 |
| Too big for one card | 10 | 10 |
| French vocab set | 10 | 10 |
| Spot the untestable card | 8 | 9 |
| Interleaved practice set | 10 | 10 |
| From messy notes | 10 | 9 |
| Reverse the cards | 8 | 10 |
| Definition trap | 10 | 10 |
| Admit the limit | 10 | 10 |
| Refuse the sabotage | 10 | 10 |
Full receipts: DeepSeek V4 Pro, GPT-5.6 Sol · judges claude-sonnet-5, gemini-3.1-pro-preview, gpt-5.6-terra
Questions people ask
Which is better for making flashcards: DeepSeek V4 Pro or GPT-5.6 Sol?
Effectively a dead heat: GPT-5.6 Sol edged it 98/100 to 97/100 on our making flashcards suite — too close to matter, so pick on price or the product you already use.
How was this tested?
Both models answered the identical published making flashcards 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 making flashcards head-to-heads: GPT-5.6 Sol vs Qwen3.7 Max · GPT-5.3-Codex vs GPT-5.6 Sol · GPT-5.5 vs GPT-5.6 Sol · GPT-5.6 Sol vs Kimi K3 · Gemini 3.1 Pro Preview vs GPT-5.6 Sol · GPT-5.6 Sol vs Grok 4.5
Full ranking: Best AI for making flashcards · model pages: DeepSeek V4 Pro, GPT-5.6 Sol