Claude Opus 4.6 vs DeepSeek V4 Flash
Verdict
- Claude Opus 4.6 leads on quality: 63.7 vs 62.1.
- Claude Opus 4.6 is stronger in agents & tools, coding, human preference, maths, multimodal.
- DeepSeek V4 Flash (max) is stronger in reasoning, composite, instruction following, knowledge, long context.
- DeepSeek V4 Flash (max) is 38× cheaper ($0.262 vs $10.00 per 1M blended).
- DeepSeek V4 Flash (max) streams 6.2× faster (212 vs 34 tokens per second).
| Metric | Claude Opus 4.6 | DeepSeek V4 Flash (max) |
|---|---|---|
| BenchLeader Index | 63.7 | 62.1 |
| Agents & tools score | 67.8 | 67.0 |
| Coding score | 62.3 | 49.1 |
| Human preference score | 64.7 | – |
| Maths score | 68.7 | 57.3 |
| Multimodal score | 67.0 | – |
| Reasoning score | 62.6 | 73.9 |
| Composite score | – | 72.8 |
| Instruction following score | – | 76.7 |
| Knowledge score | – | 57.4 |
| Long context score | – | 66.3 |
| Blended price $/M | $10.00 | $0.262 |
| Output speed | 34 tok/s | 212 tok/s |
| Time to first answer | 1.7 s | 10.6 s |
| Context window | 1M | 1M |
| GPQA Diamond | 90.5% | – |
| OTIS Mock AIME | 94.4% | – |
| SWE-bench Verified (Epoch) | 78.7% | – |
| Humanity's Last Exam | 19.0% | – |
| Terminal-Bench | 79.8% | – |
| SimpleBench | 67.6% | – |
| SciCode | – | 44.9% |
| Cybench | 93.0% | – |
| Remote Labor Index | 4.2% | – |
| WeirdML | 77.9% | 45.6% |
| APEX-Agents | 32.4% | – |
| FrontierCode | 26.6% | – |
| GSO-Bench | 33.3% | – |
| Epoch Capabilities Index | 155.3 | – |
| LMArena Text | 1497 | – |
| LMArena Hard Prompts | 1527 | – |
| LMArena Coding | 1546 | – |
| LMArena WebDev | 1537 | – |
| LMArena Vision | 1312 | – |
| AA Intelligence Index | – | 34.5 |
| IFBench | – | 79.2% |
| AA-LCR | – | 79.7% |
| AA-Omniscience | – | -14.3 |
| Terminal-Bench Hard | – | 35.6% |
| GPQA Diamond (AA) | – | 90.8% |
| Humanity's Last Exam (AA) | – | 38.5% |
| SciCode (AA) | – | 50.4% |
| τ²-Bench Telecom (AA) | – | 95.0% |
| AIME 2026 | – | 95.8% |
| HMMT February 2026 | – | 93.9% |
| MathArena Apex | – | 27.1% |
| HiL-Bench | 38.3% | – |
| EQ-Bench 4 | 1223 | – |
| Kagi LLM Benchmark | 72.4% | – |
| SWE-bench Verified (bash only) | 75.6% | – |
| SWE-bench Verified (any scaffold) | 75.6% | – |
| CritPt | – | 16.6% |
| GDPval (AA) | – | 47.1% |
| τ²-Bench Banking (AA) | – | 39.4% |
| ITBench SRE (AA) | – | 31.5% |
| Analyst Agent (AA) | – | 25.0% |
| MedCode | 48.2% | – |
| MedScribe | 86.7% | – |
| Vibe Code Bench v1.1 | 57.6% | – |
| SWE Atlas: Codebase QnA | 33.3% | – |
| SWE Atlas: Refactoring | 35.6% | – |
| SWE Atlas: Test Writing | 36.7% | – |
| LMArena Maths | 1507 | – |
| LMArena Creative Writing | 1479 | – |
| LMArena Instruction Following | 1500 | – |
| LMArena Multi-turn | 1511 | – |
| LMArena Longer Queries | 1517 | – |
| LMArena Document | 1494 | – |
| Chess Puzzles | 17.0% | – |
| Mystery Game Puzzles | 15.0% | – |
| CL-bench | 20.7% | – |
| CL-bench Life | 13.6% | – |
| METR Time Horizons | 78.9% | – |
| LMCA | – | 35.9% |
| DTBench | – | 86.4% |
| ForecastBench | 60.0% | – |
| GBAEval | 44.1% | – |
| ALE-Bench | 996.5 | – |
| Vending-Bench 2 | 8017.6 | – |
Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.
Claude Opus 4.6 vs DeepSeek V4 Flash: questions
- Is Claude Opus 4.6 better than DeepSeek V4 Flash?
- Claude Opus 4.6 leads on quality: 63.7 vs 62.1. The BenchLeader Index combines every independent quality benchmark; Claude Opus 4.6 is ahead overall as of 2026-09-19, but check the category scores for your use.
- Is Claude Opus 4.6 better than DeepSeek V4 Flash for coding?
- Claude Opus 4.6 scores higher in coding (62 vs 49 on the category index, where 50 is average).
- Is Claude Opus 4.6 better than DeepSeek V4 Flash for agentic tasks?
- Claude Opus 4.6 scores higher in agentic tasks (68 vs 67 on the category index, where 50 is average).
- Which is cheaper, Claude Opus 4.6 or DeepSeek V4 Flash?
- DeepSeek V4 Flash is cheaper: $0.262 against $10.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Claude Opus 4.6 or DeepSeek V4 Flash?
- DeepSeek V4 Flash streams faster: 212 against 34 output tokens per second.
- Which has the larger context window?
- Both accept 1M tokens of context.