Model comparison
DeepSeek LLM 67B vs Step 3.5 Flash
Step 3.5 Flash is the stronger model overall, scoring 42.3 to 24.9 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeek
StepFunSummary
- They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Step 3.5 Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Step 3.5 Flash leads 42.6 to 8.7.
Side by side
| DeepSeek LLM 67B | Step 3.5 Flash | |
|---|---|---|
| Provider | DeepSeek | StepFun |
| Noometry Index | 24.9 | 42.3 |
| Released | 2023-11-29 | 2026-01-29 |
| Weights | Open | Open |
| Context window | — | 256K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 15 | 19 |
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Category by category
Coding Step 3.5 Flash leads
DeepSeek LLM 67B: 31.9 (#278), Step 3.5 Flash: 42.4 (#105)
| Benchmark | DeepSeek LLM 67B | Step 3.5 Flash |
|---|---|---|
| LMArena Coding | 1096 | 1436 |
Reasoning Step 3.5 Flash leads
DeepSeek LLM 67B: 16.5 (#304), Step 3.5 Flash: 22.2 (#202)
| Benchmark | DeepSeek LLM 67B | Step 3.5 Flash |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1411 |
| NYT Connections (extended) | — | 28.4% |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 110.5 | — |
Math Step 3.5 Flash leads
DeepSeek LLM 67B: 8.7 (#324), Step 3.5 Flash: 42.6 (#84)
| Benchmark | DeepSeek LLM 67B | Step 3.5 Flash |
|---|---|---|
| LMArena Math | 1108 | 1408 |
| MathArena Final-Answer Competitions | — | 66.8% |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |
Knowledge Step 3.5 Flash leads
DeepSeek LLM 67B: 7.0 (#313), Step 3.5 Flash: 39.6 (#132)
| Benchmark | DeepSeek LLM 67B | Step 3.5 Flash |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1421 |
Multilingual Step 3.5 Flash leads
DeepSeek LLM 67B: 29.4 (#267), Step 3.5 Flash: 50.5 (#119)
| Benchmark | DeepSeek LLM 67B | Step 3.5 Flash |
|---|---|---|
| LMArena Non-English | 1073 | 1385 |
| LMArena Chinese | 1132 | 1447 |
| LMArena French | — | 1421 |
| LMArena German | — | 1405 |
| LMArena Japanese | — | 1354 |
| LMArena Korean | — | 1352 |
| LMArena Russian | — | 1385 |
| LMArena Spanish | — | 1419 |
Instruction Following Step 3.5 Flash leads
DeepSeek LLM 67B: 55.4 (#277), Step 3.5 Flash: 73.1 (#124)
| Benchmark | DeepSeek LLM 67B | Step 3.5 Flash |
|---|---|---|
| LMArena Instruction Following | 1079 | 1385 |
Long Context Step 3.5 Flash leads
DeepSeek LLM 67B: 33.1 (#265), Step 3.5 Flash: 42.8 (#117)
| Benchmark | DeepSeek LLM 67B | Step 3.5 Flash |
|---|---|---|
| LMArena Longer Query | 1092 | 1402 |
Writing & Preference Step 3.5 Flash leads
DeepSeek LLM 67B: 31.6 (#282), Step 3.5 Flash: 58.8 (#113)
| Benchmark | DeepSeek LLM 67B | Step 3.5 Flash |
|---|---|---|
| LMArena Text | 1105 | 1403 |
| LMArena Creative Writing | 1067 | 1357 |
| LMArena Multi-Turn | 1082 | 1405 |
Frequently asked questions
Is DeepSeek LLM 67B better than Step 3.5 Flash?
Step 3.5 Flash is the stronger model overall, scoring 42.3 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Step 3.5 Flash better for coding?
Step 3.5 Flash scores higher on coding benchmarks: 42.4 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Step 3.5 Flash share?
10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Step 3.5 Flash has 19.