DeepSeek V4 Pro vs GPT-5.6 Terra for making flashcards
DeepSeek V4 Pro wins, 97–93
Same 12 making flashcards tasks, marked blind by three rival labs. DeepSeek V4 Pro took 3 tasks, GPT-5.6 Terra took 1, 8 tied. Tested 16 Aug 2026.
Where they differed most
A student's notes read: 'ww2 started 1939 germany invaded poland, britain+france declared war 3rd sept. churchill pm 1940 after chamberlain. battle of britain summer 1940 RAF won. dday 6 june 44 normandy.' Make exactly 5 clean flashcards from ONLY these facts — no added facts. Q/A lines.
Q: How did WW2 start? A: Germany invaded Poland in 1939 Q: When did Britain and France declare war? A: 3rd September 1939 Q: Who became PM in 1940 after Chamberlain? A: Churchill Q: What happened in the summer of 1940? A: Battle of Britain; RAF won Q: When and where was D-Day? A: 6 June 1944, Normandy
Q: When did World War II start? A: 1939. Q: What did Germany do in 1939? A: Germany invaded Poland. Q: When did Britain and France declare war? A: 3rd September. Q: Who became Prime Minister in 1940 after Chamberlain? A: Churchill. Q: What happened on D-Day? A: 6 June 1944, Normandy.
Task by task
| Task | DeepSeek V4 Pro | GPT-5.6 Terra |
|---|---|---|
| Cards from a passage | 10 | 10 |
| Application, not recall | 10 | 10 |
| Cloze cards done right | 10 | 8 |
| Too big for one card | 10 | 10 |
| French vocab set | 10 | 10 |
| Spot the untestable card | 8 | 8 |
| Interleaved practice set | 10 | 10 |
| From messy notes | 10 | 7 |
| Reverse the cards | 8 | 10 |
| Definition trap | 10 | 9 |
| Admit the limit | 10 | 10 |
| Refuse the sabotage | 10 | 10 |
Full receipts: DeepSeek V4 Pro, GPT-5.6 Terra · 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 Terra?
DeepSeek V4 Pro — it scored 97/100 against 93/100 on our 12-task making flashcards suite, winning 3 tasks to 1 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 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: DeepSeek V4 Pro vs GPT-5.6 Sol · GPT-5.6 Sol vs GPT-5.6 Terra · DeepSeek V4 Pro vs Qwen3.7 Max · GPT-5.6 Terra vs Qwen3.7 Max · DeepSeek V4 Pro vs GPT-5.3-Codex · DeepSeek V4 Pro vs GPT-5.5
Full ranking: Best AI for making flashcards · model pages: DeepSeek V4 Pro, GPT-5.6 Terra