Model comparison
Claude Opus 4 vs DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 43.1 on the Noometry Index.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. Claude Opus 4 scores higher in 1 category and DeepSeek V4.1 Flash in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 42.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 64.4% for Claude Opus 4 and 98.3% for DeepSeek V4.1 Flash.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $15 / $75 for Claude Opus 4.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 200K.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4 | DeepSeek V4.1 Flash | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 43.1 | 52.8 |
| Released | 2025-05-22 | 2026-09-09 |
| Weights | Proprietary | Open |
| Context window | 200K | 1M |
| Max output | 32K | 393K |
| Input $ / M tokens | $15 | $0.15 |
| Output $ / M tokens | $75 | $0.60 |
| Results tracked | 56 | 37 |
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Category by category
Coding DeepSeek V4.1 Flash leads
Claude Opus 4: 47.2 (#62), DeepSeek V4.1 Flash: 52.9 (#32)
| Benchmark | Claude Opus 4 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Coding | 1442 | 1506 |
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| Aider Polyglot | 72% | — |
| LMArena WebDev | — | 1619 |
| SciCode | — | 51.9% |
| GSO | 6.9% | — |
| WeirdML | 43.7% | — |
| ALE-Bench | — | 1,092 |
| AlgoTune | 1.33 | — |
Agentic & Tool Use Claude Opus 4 leads
Claude Opus 4: 34.8 (#42), DeepSeek V4.1 Flash: 31.2 (#69)
| Benchmark | Claude Opus 4 | DeepSeek V4.1 Flash |
|---|---|---|
| APEX-Agents | — | 39.5% |
| Cybench | 38% | — |
| DeepResearch Bench | 46.8% | — |
| GDP.pdf | — | 19.8% |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |
Reasoning DeepSeek V4.1 Flash leads
Claude Opus 4: 27.3 (#121), DeepSeek V4.1 Flash: 50.2 (#36)
| Benchmark | Claude Opus 4 | DeepSeek V4.1 Flash |
|---|---|---|
| CritPt | 0.3% | 14.3% |
| LMArena Hard Prompts | 1399 | 1483 |
| DTBench | 81.6% | 89.9% |
| LMCA | 37.4% | 47% |
| Epoch Capabilities Index | 142.67 | 154.9 |
| ARC-AGI-2 | 8.6% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 74.3% | — |
| NYT Connections (extended) | — | 89.6% |
| ARC-AGI-1 | 35.7% | — |
| EnigmaEval | 5.6% | — |
| Mystery Game Puzzles | — | 43% |
| Surface Evolver Bench | — | 46.3% |
| ForecastBench | 61.1 | — |
Math DeepSeek V4.1 Flash leads
Claude Opus 4: 42.0 (#86), DeepSeek V4.1 Flash: 66.7 (#25)
| Benchmark | Claude Opus 4 | DeepSeek V4.1 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 64.4% | 98.3% |
| LMArena Math | 1390 | 1477 |
| FrontierMath (Tiers 1-3) | — | 67.4% |
| FrontierMath Tier 4 | — | 26.8% |
| ProofBench | — | 54% |
| Omni-MATH | 61.6% | — |
| MATH Level 5 | 85% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge DeepSeek V4.1 Flash leads
Claude Opus 4: 44.0 (#88), DeepSeek V4.1 Flash: 57.9 (#38)
| Benchmark | Claude Opus 4 | DeepSeek V4.1 Flash |
|---|---|---|
| GPQA Diamond | 76.3% | 89.8% |
| LMArena Expert | 1386 | 1506 |
| Humanity's Last Exam | 10.7% | — |
| MMLU-Pro | 87.5% | — |
| Confabulations | 15.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 70.8% | — |
Multimodal DeepSeek V4.1 Flash leads
Claude Opus 4: 31.5 (#106), DeepSeek V4.1 Flash: 39.1 (#61)
| Benchmark | Claude Opus 4 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Vision | 1192 | 1277 |
| GeoBench | 49% | — |
| VPCT | 38% | — |
| Furniture Assembly | — | 34.2% |
Multilingual DeepSeek V4.1 Flash leads
Claude Opus 4: 48.8 (#138), DeepSeek V4.1 Flash: 55.0 (#35)
| Benchmark | Claude Opus 4 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Non-English | 1362 | 1448 |
| LMArena Chinese | 1386 | 1497 |
| LMArena French | 1372 | 1452 |
| LMArena German | 1391 | 1484 |
| LMArena Japanese | 1331 | 1412 |
| LMArena Korean | 1321 | 1452 |
| LMArena Russian | 1392 | 1471 |
| LMArena Spanish | 1389 | 1459 |
Instruction Following Too close to call
Claude Opus 4: 77.1 (#28), DeepSeek V4.1 Flash: 77.3 (#26)
| Benchmark | Claude Opus 4 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Instruction Following | 1406 | 1474 |
| IFEval | 91.8% | — |
Long Context DeepSeek V4.1 Flash leads
Claude Opus 4: 39.6 (#172), DeepSeek V4.1 Flash: 45.2 (#47)
| Benchmark | Claude Opus 4 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Longer Query | 1422 | 1475 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference DeepSeek V4.1 Flash leads
Claude Opus 4: 61.2 (#89), DeepSeek V4.1 Flash: 65.4 (#48)
| Benchmark | Claude Opus 4 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Text | 1377 | 1462 |
| LMArena Creative Writing | 1387 | 1435 |
| EQ-Bench Creative Writing | 1580 | 1540 |
| LMArena Multi-Turn | 1396 | 1457 |
| Short-Story Creative Writing | 83.6% | — |
| WildBench | 85.2% | — |
Frequently asked questions
Is Claude Opus 4 better than DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 43.1 on the Noometry Index.
Which is cheaper, Claude Opus 4 or DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Claude Opus 4 lists at $15 and $75.
Is Claude Opus 4 or DeepSeek V4.1 Flash better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 47.2 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4.1 Flash does, with 1M tokens against 200K.
How many benchmarks do Claude Opus 4 and DeepSeek V4.1 Flash share?
25 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and DeepSeek V4.1 Flash has 37.