Model comparison
Claude Opus 4.5 vs DeepSeek V4 Pro
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 50.5 on the Noometry Index.
Last verified . 40 shared benchmarks.
Summary
- They share 40 benchmarks with published results for both. Claude Opus 4.5 scores higher in 5 categories and DeepSeek V4 Pro in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Pro leads 64.8 to 38.6.
- The biggest single-benchmark swing is NYT Connections (extended): 52.5% for Claude Opus 4.5 and 91.3% for DeepSeek V4 Pro.
- DeepSeek V4 Pro is cheaper at $0.66 / $1.98 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
- DeepSeek V4 Pro accepts more context: 1M tokens versus 200K.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.5 | DeepSeek V4 Pro | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 50.5 | 54.3 |
| Released | 2025-11-01 | 2026-04-24 |
| Weights | Proprietary | Open |
| Context window | 200K | 1M |
| Max output | 64K | 393K |
| Input $ / M tokens | $5 | $0.66 |
| Output $ / M tokens | $25 | $1.98 |
| Results tracked | 69 | 48 |
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Category by category
Coding Claude Opus 4.5 leads
Claude Opus 4.5: 54.8 (#27), DeepSeek V4 Pro: 52.4 (#34)
| Benchmark | Claude Opus 4.5 | DeepSeek V4 Pro |
|---|---|---|
| SWE-bench Verified | 76.7% | 77.6% |
| LMArena WebDev | 1494 | 1582 |
| WeirdML | 63.7% | 66.2% |
| LMArena Coding | 1504 | 1470 |
| ALE-Bench | 1,025 | 1,403 |
| FrontierCode | — | 28.6% |
| SWE-bench Verified (bash only) | 76.8% | — |
| SWE-bench Multilingual | 70.7% | — |
| SciCode | — | 51% |
| GSO | 26.5% | — |
| AlgoTune | 1.77 | — |
Agentic & Tool Use Claude Opus 4.5 leads
Claude Opus 4.5: 47.3 (#12), DeepSeek V4 Pro: 32.8 (#58)
| Benchmark | Claude Opus 4.5 | DeepSeek V4 Pro |
|---|---|---|
| Vending-Bench 2 | 4,967 | 3,285 |
| Terminal-Bench | 63.1% | — |
| APEX-Agents | — | 47.3% |
| Berkeley Function Calling Leaderboard | 77.5% | — |
| GDPval | 45.5% | — |
| Remote Labor Index | 3.8% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| Cybench | 82% | — |
| DeepResearch Bench | 54.8% | — |
| OSWorld | 66.3% | — |
| BALROG | 43.5% | — |
| LMArena Search | 1180 | — |
| METR Time Horizons | 75% | — |
Reasoning DeepSeek V4 Pro leads
Claude Opus 4.5: 42.6 (#51), DeepSeek V4 Pro: 56.5 (#24)
| Benchmark | Claude Opus 4.5 | DeepSeek V4 Pro |
|---|---|---|
| ARC-AGI-2 | 37.6% | 61.3% |
| Kagi LLM Benchmark | 80.2% | 53.5% |
| NYT Connections (extended) | 52.5% | 91.3% |
| ARC-AGI-1 | 80% | 90.5% |
| Chess Puzzles | 12% | 47% |
| LMArena Hard Prompts | 1476 | 1461 |
| Mystery Game Puzzles | 22% | 43% |
| DTBench | 89.9% | 93.9% |
| LMCA | 44.5% | 45.5% |
| Epoch Capabilities Index | 150.09 | 155.31 |
| ForecastBench | 60.7 | 56.1 |
| SimpleBench | 62% | — |
| CritPt | — | 18% |
| EnigmaEval | 11.9% | — |
| EBR-Bench | 14.3% | — |
| Surface Evolver Bench | — | 40% |
Math DeepSeek V4 Pro leads
Claude Opus 4.5: 38.6 (#132), DeepSeek V4 Pro: 64.8 (#30)
| Benchmark | Claude Opus 4.5 | DeepSeek V4 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 34.4% | 64.6% |
| FrontierMath Tier 4 | 4.9% | 26.8% |
| OTIS Mock AIME 2024-2025 | 86.1% | 98.6% |
| ProofBench | 36% | 50% |
| LMArena Math | 1463 | 1455 |
| MathArena Final-Answer Competitions | — | 76.6% |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge DeepSeek V4 Pro leads
Claude Opus 4.5: 56.5 (#44), DeepSeek V4 Pro: 59.5 (#31)
| Benchmark | Claude Opus 4.5 | DeepSeek V4 Pro |
|---|---|---|
| GPQA Diamond | 86% | 91.7% |
| SimpleQA Verified | 45.7% | 52.9% |
| Vectara Hallucination Rate | 10.9% | 8.6% |
| LMArena Expert | 1487 | 1464 |
| Humanity's Last Exam | 25.2% | — |
Multimodal Not comparable
Claude Opus 4.5: 31.4 (#107), DeepSeek V4 Pro: —
| Benchmark | Claude Opus 4.5 | DeepSeek V4 Pro |
|---|---|---|
| GeoBench | 75% | — |
| VPCT | 40% | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |
Multilingual Too close to call
Claude Opus 4.5: 54.3 (#47), DeepSeek V4 Pro: 54.4 (#45)
| Benchmark | Claude Opus 4.5 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Non-English | 1438 | 1439 |
| LMArena Chinese | 1470 | 1486 |
| LMArena French | 1471 | 1472 |
| LMArena German | 1449 | 1458 |
| LMArena Japanese | 1416 | 1445 |
| LMArena Korean | 1424 | 1447 |
| LMArena Russian | 1447 | 1453 |
| LMArena Spanish | 1458 | 1458 |
Instruction Following Claude Opus 4.5 leads
Claude Opus 4.5: 77.5 (#19), DeepSeek V4 Pro: 76.1 (#47)
| Benchmark | Claude Opus 4.5 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Instruction Following | 1478 | 1448 |
Long Context Claude Opus 4.5 leads
Claude Opus 4.5: 46.5 (#22), DeepSeek V4 Pro: 45.0 (#51)
| Benchmark | Claude Opus 4.5 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Longer Query | 1480 | 1458 |
| CL-bench | 21.1% | — |
| CL-bench Life | — | 13.5% |
Writing & Preference Claude Opus 4.5 leads
Claude Opus 4.5: 68.1 (#28), DeepSeek V4 Pro: 65.5 (#46)
| Benchmark | Claude Opus 4.5 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Text | 1451 | 1451 |
| LMArena Creative Writing | 1445 | 1446 |
| EQ-Bench Creative Writing | 1687 | 1553 |
| LMArena Multi-Turn | 1466 | 1467 |
| EQ-Bench 4 | — | 1166 |
Frequently asked questions
Is Claude Opus 4.5 better than DeepSeek V4 Pro?
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 50.5 on the Noometry Index.
Which is cheaper, Claude Opus 4.5 or DeepSeek V4 Pro?
DeepSeek V4 Pro is cheaper. It lists at $0.66 per million input tokens and $1.98 per million output tokens; Claude Opus 4.5 lists at $5 and $25.
Is Claude Opus 4.5 or DeepSeek V4 Pro better for coding?
Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 52.4 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4 Pro does, with 1M tokens against 200K.
How many benchmarks do Claude Opus 4.5 and DeepSeek V4 Pro share?
40 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and DeepSeek V4 Pro has 48.