Model comparison
DeepSeek V4 Flash vs Step 3
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 40.5 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Step 3 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 28.4.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 52.2% for DeepSeek V4 Flash and 62.3% for Step 3.
Side by side
| DeepSeek V4 Flash | Step 3 | |
|---|---|---|
| Provider | DeepSeek | StepFun |
| Noometry Index | 53.6 | 40.5 |
| Released | 2026-04-24 | — |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 17 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Step 3: 40.1 (#147)
| Benchmark | DeepSeek V4 Flash | Step 3 |
|---|---|---|
| LMArena Coding | 1457 | 1367 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Step 3: 28.4 (#105)
| Benchmark | DeepSeek V4 Flash | Step 3 |
|---|---|---|
| Kagi LLM Benchmark | 52.2% | 62.3% |
| LMArena Hard Prompts | 1444 | 1355 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.49 | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Step 3: 37.6 (#148)
| Benchmark | DeepSeek V4 Flash | Step 3 |
|---|---|---|
| LMArena Math | 1427 | 1366 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Step 3: 36.8 (#164)
| Benchmark | DeepSeek V4 Flash | Step 3 |
|---|---|---|
| LMArena Expert | 1441 | 1333 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
Multimodal Not comparable
DeepSeek V4 Flash: —, Step 3: 35.5 (#86)
| Benchmark | DeepSeek V4 Flash | Step 3 |
|---|---|---|
| LMArena Vision | — | 1177 |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.0 (#72), Step 3: 46.3 (#159)
| Benchmark | DeepSeek V4 Flash | Step 3 |
|---|---|---|
| LMArena Non-English | 1420 | 1327 |
| LMArena Chinese | 1468 | 1397 |
| LMArena German | 1418 | 1371 |
| LMArena Korean | 1384 | 1269 |
| LMArena Russian | 1428 | 1331 |
| LMArena Spanish | 1436 | 1371 |
| LMArena French | 1439 | — |
| LMArena Japanese | 1406 | — |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 74.9 (#81), Step 3: 70.4 (#164)
| Benchmark | DeepSeek V4 Flash | Step 3 |
|---|---|---|
| LMArena Instruction Following | 1421 | 1332 |
Long Context DeepSeek V4 Flash leads
DeepSeek V4 Flash: 43.8 (#85), Step 3: 40.3 (#157)
| Benchmark | DeepSeek V4 Flash | Step 3 |
|---|---|---|
| LMArena Longer Query | 1434 | 1326 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Step 3: 54.3 (#151)
| Benchmark | DeepSeek V4 Flash | Step 3 |
|---|---|---|
| LMArena Text | 1432 | 1350 |
| LMArena Creative Writing | 1403 | 1321 |
| LMArena Multi-Turn | 1449 | 1341 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Step 3?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 40.5 on the Noometry Index.
Is DeepSeek V4 Flash or Step 3 better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 40.1 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and Step 3 share?
16 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Step 3 has 17.