Model comparison
Claude 1.3 vs DeepSeek V4 Pro
DeepSeek V4 Pro has enough public results to be ranked (#31); Claude 1.3 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.
Side by side
| Claude 1.3 | DeepSeek V4 Pro | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | — | 54.3 |
| Released | 2023-04-18 | 2026-04-24 |
| Weights | Proprietary | Open |
| Context window | — | 1M |
| Max output | — | 393K |
| Input $ / M tokens | — | $0.66 |
| Output $ / M tokens | — | $1.98 |
| Results tracked | 2 | 48 |
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Category by category
Coding Not comparable
Claude 1.3: —, DeepSeek V4 Pro: 52.4 (#34)
| Benchmark | Claude 1.3 | DeepSeek V4 Pro |
|---|---|---|
| SWE-bench Verified | — | 77.6% |
| FrontierCode | — | 28.6% |
| LMArena WebDev | — | 1582 |
| SciCode | — | 51% |
| WeirdML | — | 66.2% |
| LMArena Coding | — | 1470 |
| ALE-Bench | — | 1,403 |
Agentic & Tool Use Not comparable
Claude 1.3: —, DeepSeek V4 Pro: 32.8 (#58)
| Benchmark | Claude 1.3 | DeepSeek V4 Pro |
|---|---|---|
| APEX-Agents | — | 47.3% |
| Vending-Bench 2 | — | 3,285 |
Reasoning Not comparable
Claude 1.3: —, DeepSeek V4 Pro: 56.5 (#24)
| Benchmark | Claude 1.3 | DeepSeek V4 Pro |
|---|---|---|
| ARC-AGI-2 | — | 61.3% |
| Kagi LLM Benchmark | — | 53.5% |
| NYT Connections (extended) | — | 91.3% |
| ARC-AGI-1 | — | 90.5% |
| CritPt | — | 18% |
| Chess Puzzles | — | 47% |
| LMArena Hard Prompts | — | 1461 |
| Mystery Game Puzzles | — | 43% |
| DTBench | — | 93.9% |
| LMCA | — | 45.5% |
| Surface Evolver Bench | — | 40% |
| Epoch Capabilities Index | — | 155.31 |
| ForecastBench | — | 56.1 |
Math Not comparable
Claude 1.3: —, DeepSeek V4 Pro: 64.8 (#30)
| Benchmark | Claude 1.3 | DeepSeek V4 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 26.8% |
| MathArena Final-Answer Competitions | — | 76.6% |
| OTIS Mock AIME 2024-2025 | — | 98.6% |
| ProofBench | — | 50% |
| LMArena Math | — | 1455 |
Knowledge Not comparable
Claude 1.3: —, DeepSeek V4 Pro: 59.5 (#31)
| Benchmark | Claude 1.3 | DeepSeek V4 Pro |
|---|---|---|
| GPQA Diamond | — | 91.7% |
| SimpleQA Verified | — | 52.9% |
| Vectara Hallucination Rate | — | 8.6% |
| LMArena Expert | — | 1464 |
| MMLU | 77% | — |
| TriviaQA | 86.7% | — |
Multilingual Not comparable
Claude 1.3: —, DeepSeek V4 Pro: 54.4 (#45)
| Benchmark | Claude 1.3 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Non-English | — | 1439 |
| LMArena Chinese | — | 1486 |
| LMArena French | — | 1472 |
| LMArena German | — | 1458 |
| LMArena Japanese | — | 1445 |
| LMArena Korean | — | 1447 |
| LMArena Russian | — | 1453 |
| LMArena Spanish | — | 1458 |
Instruction Following Not comparable
Claude 1.3: —, DeepSeek V4 Pro: 76.1 (#47)
| Benchmark | Claude 1.3 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Instruction Following | — | 1448 |
Long Context Not comparable
Claude 1.3: —, DeepSeek V4 Pro: 45.0 (#51)
| Benchmark | Claude 1.3 | DeepSeek V4 Pro |
|---|---|---|
| CL-bench Life | — | 13.5% |
| LMArena Longer Query | — | 1458 |
Writing & Preference Not comparable
Claude 1.3: —, DeepSeek V4 Pro: 65.5 (#46)
| Benchmark | Claude 1.3 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Text | — | 1451 |
| LMArena Creative Writing | — | 1446 |
| EQ-Bench Creative Writing | — | 1553 |
| EQ-Bench 4 | — | 1166 |
| LMArena Multi-Turn | — | 1467 |
Frequently asked questions
Is Claude 1.3 better than DeepSeek V4 Pro?
DeepSeek V4 Pro has enough public results to be ranked (#31); Claude 1.3 does not yet, so treat this comparison as directional.
How many benchmarks do Claude 1.3 and DeepSeek V4 Pro share?
0 benchmarks have published results for both models. Claude 1.3 has 2 scored results on Noometry and DeepSeek V4 Pro has 48.