Model comparison
Claude 2.1 vs DeepSeek V4 Flash
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 25.2 on the Noometry Index.
Last verified . 5 shared benchmarks.
DeepSeekSummary
- They share 5 benchmarks with published results for both. Claude 2.1 scores higher in 0 categories and DeepSeek V4 Flash in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 10.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.9% for Claude 2.1 and 94.4% for DeepSeek V4 Flash.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.
Side by side
| Claude 2.1 | DeepSeek V4 Flash | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 25.2 | 53.6 |
| Released | 2023-11-21 | 2026-04-24 |
| Weights | Proprietary | Open |
| Context window | — | 1M |
| Max output | — | 393K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 7 | 41 |
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Category by category
Coding DeepSeek V4 Flash leads
Claude 2.1: 26.2 (#327), DeepSeek V4 Flash: 47.9 (#59)
| Benchmark | Claude 2.1 | DeepSeek V4 Flash |
|---|---|---|
| WeirdML | 7.1% | 63% |
| FrontierCode | — | 18.8% |
| LMArena WebDev | — | 1582 |
| SciCode | — | 49.9% |
| LMArena Coding | — | 1457 |
| ALE-Bench | — | 1,306 |
Reasoning DeepSeek V4 Flash leads
Claude 2.1: 21.4 (#221), DeepSeek V4 Flash: 53.7 (#30)
| Benchmark | Claude 2.1 | DeepSeek V4 Flash |
|---|---|---|
| DTBench | 51% | 90.9% |
| Epoch Capabilities Index | 119.27 | 154.49 |
| ARC-AGI-2 | — | 61.4% |
| SimpleBench | — | 61.1% |
| Kagi LLM Benchmark | — | 52.2% |
| NYT Connections (extended) | — | 89.6% |
| ARC-AGI-1 | — | 89% |
| CritPt | — | 16.6% |
| Chess Puzzles | — | 33% |
| LMArena Hard Prompts | — | 1444 |
| Mystery Game Puzzles | — | 34% |
| LMCA | — | 41.7% |
| ForecastBench | 54.2 | — |
Math DeepSeek V4 Flash leads
Claude 2.1: 10.2 (#315), DeepSeek V4 Flash: 60.3 (#37)
| Benchmark | Claude 2.1 | DeepSeek V4 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | 94.4% |
| FrontierMath (Tiers 1-3) | — | 57.5% |
| FrontierMath Tier 4 | — | 24.4% |
| MathArena Final-Answer Competitions | — | 76.5% |
| ProofBench | — | 56% |
| LMArena Math | — | 1427 |
Knowledge DeepSeek V4 Flash leads
Claude 2.1: 15.4 (#292), DeepSeek V4 Flash: 55.4 (#48)
| Benchmark | Claude 2.1 | DeepSeek V4 Flash |
|---|---|---|
| GPQA Diamond | 33% | 91% |
| SimpleQA Verified | — | 33.6% |
| LMArena Expert | — | 1441 |
| MMLU | 73.5% | — |
Multilingual Not comparable
Claude 2.1: —, DeepSeek V4 Flash: 53.0 (#72)
| Benchmark | Claude 2.1 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Non-English | — | 1420 |
| LMArena Chinese | — | 1468 |
| LMArena French | — | 1439 |
| LMArena German | — | 1418 |
| LMArena Japanese | — | 1406 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1428 |
| LMArena Spanish | — | 1436 |
Instruction Following Not comparable
Claude 2.1: —, DeepSeek V4 Flash: 74.9 (#81)
| Benchmark | Claude 2.1 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Instruction Following | — | 1421 |
Long Context Not comparable
Claude 2.1: —, DeepSeek V4 Flash: 43.8 (#85)
| Benchmark | Claude 2.1 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Longer Query | — | 1434 |
Writing & Preference Not comparable
Claude 2.1: —, DeepSeek V4 Flash: 63.8 (#61)
| Benchmark | Claude 2.1 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Text | — | 1432 |
| LMArena Creative Writing | — | 1403 |
| EQ-Bench Creative Writing | — | 1559 |
| LMArena Multi-Turn | — | 1449 |
Frequently asked questions
Is Claude 2.1 better than DeepSeek V4 Flash?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 25.2 on the Noometry Index.
Is Claude 2.1 or DeepSeek V4 Flash better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 26.2 in the Noometry coding category.
How many benchmarks do Claude 2.1 and DeepSeek V4 Flash share?
5 benchmarks have published results for both models. Claude 2.1 has 7 scored results on Noometry and DeepSeek V4 Flash has 41.