DeepSeek V4.1 Flash vs GPT-5.6 Terra
DeepSeek V4.1 Flash 
GPT-5.6 Terra Verdict
- GPT-5.6 Terra (max) leads on quality: 65.0 vs 61.9.
- DeepSeek V4.1 Flash (max) is stronger in agents & tools, coding, composite, knowledge, long context.
- GPT-5.6 Terra (max) is stronger in multimodal, reasoning, instruction following, maths.
- DeepSeek V4.1 Flash (max) is 17× cheaper ($0.262 vs $4.50 per 1M blended).
- DeepSeek V4.1 Flash (max) streams 2.5× faster (215 vs 84 tokens per second).
| Metric | DeepSeek V4.1 Flash (max) | GPT-5.6 Terra (max) |
|---|---|---|
| BenchLeader Index | 61.9 | 65.0 |
| Agents & tools score | 59.6 | 59.0 |
| Coding score | 68.9 | 67.2 |
| Composite score | 74.5 | 71.5 |
| Knowledge score | 61.7 | 58.8 |
| Long context score | 68.5 | 68.0 |
| Multimodal score | 61.4 | 65.3 |
| Reasoning score | 69.5 | 72.3 |
| Instruction following score | – | 69.8 |
| Maths score | – | 71.5 |
| Blended price $/M | $0.262 | $4.50 |
| Output speed | 215 tok/s | 84 tok/s |
| Time to first answer | 10.5 s | 220.9 s |
| Context window | 1M | 1.1M |
| GPQA Diamond | – | 93.3% |
| FrontierMath Tiers 1–3 | – | 86.0% |
| FrontierMath Tier 4 | – | 70.7% |
| OTIS Mock AIME | – | 99.7% |
| SimpleQA Verified | – | 43.2% |
| Terminal-Bench | – | 21.5% |
| SciCode | – | 53.9% |
| LMArena WebDev | 1614 | – |
| LMArena Agent | 4.9 | – |
| LiveBench | 81.1% | 77.9% |
| LiveBench Reasoning | 86.7% | 90.6% |
| LiveBench Coding | 80.0% | 78.3% |
| LiveBench Agentic Coding | 77.3% | 55.0% |
| LiveBench Mathematics | 93.3% | 94.9% |
| LiveBench Data Analysis | 79.3% | 79.3% |
| LiveBench Language | 81.2% | 82.9% |
| LiveBench Instruction Following | 70.0% | 64.6% |
| AA Intelligence Index | 39.5 | 42.3 |
| IFBench | – | 71.2% |
| AA-LCR | 84.0% | 83.0% |
| MMMU-Pro | 77.0% | 80.7% |
| AA-Omniscience | -5.3 | 0.1 |
| Terminal-Bench Hard | – | 57.6% |
| GPQA Diamond (AA) | – | 92.5% |
| Humanity's Last Exam (AA) | 39.3% | 42.9% |
| SciCode (AA) | 51.9% | 55.0% |
| τ²-Bench Telecom (AA) | – | 86.3% |
| IOI | – | 87.6% |
| LegalBench | – | 85.1% |
| Terminal-Bench 2.1 (Vals) | – | 77.5% |
| SWE-bench (Vals) | – | 95.4% |
| Vals Index | – | 59.6 |
| ARC-AGI-1 | – | 96.5% |
| ARC-AGI-2 | – | 83.9% |
| ARC-AGI-3 | – | 0.8% |
| CritPt | 14.3% | 30.0% |
| GDPval (AA) | 56.6% | 48.9% |
| τ²-Bench Banking (AA) | – | 40.2% |
| ITBench SRE (AA) | – | 51.0% |
| APEX-Agents (AA) | – | 38.9% |
| Code Migration | – | 47.8% |
| Excel Modeling Benchmark | – | 66.2% |
| Finance Agent v2 | – | 54.4% |
| Harvey's Legal Agent Benchmark | – | 0.8% |
| Legal Research Bench | – | 41.4% |
| MMMU-Pro (Vals) | – | 86.5% |
| ProgramBench | – | 0.5% |
| SAGE | – | 47.0% |
| SkillsBench | – | 58.9% |
| Tax Agent Bench | – | 65.2% |
| Terminal-Bench 4.0 (Vals) | – | 26.3% |
| Terminal-Bench Science | – | 10.0% |
| Vibe Code Bench 1-100 | – | 14.8% |
| Vibe Code Bench v1.1 | – | 74.6% |
| Chess Puzzles | – | 54.0% |
| Mystery Game Puzzles | – | 35.0% |
| DeepSWE | – | 69.6% |
| LMCA | – | 52.2% |
| DTBench | – | 92.5% |
| CursorBench | – | 64.9% |
| ALE-Bench | – | 1951.4 |
Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.
DeepSeek V4.1 Flash vs GPT-5.6 Terra: questions
- Is DeepSeek V4.1 Flash better than GPT-5.6 Terra?
- GPT-5.6 Terra (max) leads on quality: 65.0 vs 61.9. The BenchLeader Index combines every independent quality benchmark; GPT-5.6 Terra (max) is ahead overall as of 2026-09-19, but check the category scores for your use.
- Is DeepSeek V4.1 Flash better than GPT-5.6 Terra for coding?
- DeepSeek V4.1 Flash scores higher in coding (69 vs 67 on the category index, where 50 is average).
- Is DeepSeek V4.1 Flash better than GPT-5.6 Terra for agentic tasks?
- DeepSeek V4.1 Flash scores higher in agentic tasks (60 vs 59 on the category index, where 50 is average).
- Which is cheaper, DeepSeek V4.1 Flash or GPT-5.6 Terra?
- DeepSeek V4.1 Flash is cheaper: $0.262 against $4.50 per million tokens, blended at three input tokens per output token.
- Which is faster, DeepSeek V4.1 Flash or GPT-5.6 Terra?
- DeepSeek V4.1 Flash streams faster: 215 against 84 output tokens per second.
- Which has the larger context window?
- GPT-5.6 Terra accepts more context: 1.1M against 1M tokens.