Model comparison
DeepSeek V4 Pro vs Step 2 16k Exp 202412
DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 38.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
DeepSeek
StepFunSummary
- They share 12 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 8 categories and Step 2 16k Exp 202412 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.4 to 24.8.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Pro | Step 2 16k Exp 202412 | |
|---|---|---|
| Provider | DeepSeek | StepFun |
| Noometry Index | 54.2 | 38.6 |
| Released | 2026-04-24 | — |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.43 | — |
| Output $ / M tokens | $0.87 | — |
| Results tracked | 48 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek V4 Pro leads
DeepSeek V4 Pro: 52.2 (#31), Step 2 16k Exp 202412: 37.9 (#170)
| Benchmark | DeepSeek V4 Pro | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Coding | 1470 | 1316 |
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 51% | — |
| WeirdML | 66.2% | — |
| ALE-Bench | 1,403 | — |
Agentic & Tool Use Not comparable
DeepSeek V4 Pro: 32.7 (#54), Step 2 16k Exp 202412: —
| Benchmark | DeepSeek V4 Pro | Step 2 16k Exp 202412 |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |
Reasoning DeepSeek V4 Pro leads
DeepSeek V4 Pro: 56.4 (#22), Step 2 16k Exp 202412: 24.8 (#140)
| Benchmark | DeepSeek V4 Pro | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Hard Prompts | 1461 | 1299 |
| 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% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 93.9% | — |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |
| Epoch Capabilities Index | 155.39 | — |
| ForecastBench | 56.1 | — |
Math DeepSeek V4 Pro leads
DeepSeek V4 Pro: 64.6 (#24), Step 2 16k Exp 202412: 33.6 (#171)
| Benchmark | DeepSeek V4 Pro | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Math | 1455 | 1305 |
| 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% | — |
Knowledge DeepSeek V4 Pro leads
DeepSeek V4 Pro: 59.5 (#28), Step 2 16k Exp 202412: 34.6 (#187)
| Benchmark | DeepSeek V4 Pro | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Expert | 1463 | 1279 |
| GPQA Diamond | 91.7% | — |
| SimpleQA Verified | 52.9% | — |
| Vectara Hallucination Rate | 8.6% | — |
Multilingual DeepSeek V4 Pro leads
DeepSeek V4 Pro: 54.5 (#44), Step 2 16k Exp 202412: 43.9 (#176)
| Benchmark | DeepSeek V4 Pro | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Non-English | 1438 | 1290 |
| LMArena Chinese | 1486 | 1331 |
| LMArena Russian | 1452 | 1324 |
| LMArena French | 1473 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1448 | — |
| LMArena Korean | 1452 | — |
| LMArena Spanish | 1457 | — |
Instruction Following DeepSeek V4 Pro leads
DeepSeek V4 Pro: 76.3 (#44), Step 2 16k Exp 202412: 68.1 (#187)
| Benchmark | DeepSeek V4 Pro | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Instruction Following | 1448 | 1287 |
Long Context DeepSeek V4 Pro leads
DeepSeek V4 Pro: 45.0 (#49), Step 2 16k Exp 202412: 39.7 (#165)
| Benchmark | DeepSeek V4 Pro | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Longer Query | 1459 | 1307 |
| CL-bench Life | 13.5% | — |
Writing & Preference DeepSeek V4 Pro leads
DeepSeek V4 Pro: 65.6 (#45), Step 2 16k Exp 202412: 52.5 (#168)
| Benchmark | DeepSeek V4 Pro | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Text | 1451 | 1321 |
| LMArena Creative Writing | 1446 | 1328 |
| LMArena Multi-Turn | 1467 | 1292 |
| EQ-Bench Creative Writing | 1553 | — |
| EQ-Bench 4 | 1166 | — |
Frequently asked questions
Is DeepSeek V4 Pro better than Step 2 16k Exp 202412?
DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 38.6 on the Noometry Index.
Is DeepSeek V4 Pro or Step 2 16k Exp 202412 better for coding?
DeepSeek V4 Pro scores higher on coding benchmarks: 52.2 versus 37.9 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Pro and Step 2 16k Exp 202412 share?
12 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Step 2 16k Exp 202412 has 12.