Model comparison
DeepSeek LLM 67B vs Step 3.7 Flash
Step 3.7 Flash is the stronger model overall, scoring 37.3 to 24.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
StepFunSummary
- The widest gap is in math, where Step 3.7 Flash leads 42.9 to 8.7.
Side by side
| DeepSeek LLM 67B | Step 3.7 Flash | |
|---|---|---|
| Provider | DeepSeek | StepFun |
| Noometry Index | 24.9 | 37.3 |
| Released | 2023-11-29 | 2026-05-29 |
| Weights | Open | Open |
| Context window | — | 256K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.18 |
| Output $ / M tokens | — | $1.11 |
| Results tracked | 15 | 5 |
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Category by category
Coding Step 3.7 Flash leads
DeepSeek LLM 67B: 31.9 (#278), Step 3.7 Flash: 40.0 (#150)
| Benchmark | DeepSeek LLM 67B | Step 3.7 Flash |
|---|---|---|
| SciCode | — | 40% |
| LMArena Coding | 1096 | — |
| ALE-Bench | — | 694.12 |
Reasoning Step 3.7 Flash leads
DeepSeek LLM 67B: 16.5 (#304), Step 3.7 Flash: 21.6 (#219)
| Benchmark | DeepSeek LLM 67B | Step 3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1070 | — |
| Epoch Capabilities Index | 110.5 | — |
Math Step 3.7 Flash leads
DeepSeek LLM 67B: 8.7 (#324), Step 3.7 Flash: 42.9 (#82)
| Benchmark | DeepSeek LLM 67B | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
Knowledge Not comparable
DeepSeek LLM 67B: 7.0 (#313), Step 3.7 Flash: —
| Benchmark | DeepSeek LLM 67B | Step 3.7 Flash |
|---|---|---|
| GPQA Diamond | 24.6% | — |
Multilingual Not comparable
DeepSeek LLM 67B: 29.4 (#267), Step 3.7 Flash: —
| Benchmark | DeepSeek LLM 67B | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following Not comparable
DeepSeek LLM 67B: 55.4 (#277), Step 3.7 Flash: —
| Benchmark | DeepSeek LLM 67B | Step 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#265), Step 3.7 Flash: —
| Benchmark | DeepSeek LLM 67B | Step 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference Not comparable
DeepSeek LLM 67B: 31.6 (#282), Step 3.7 Flash: —
| Benchmark | DeepSeek LLM 67B | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |
Frequently asked questions
Is DeepSeek LLM 67B better than Step 3.7 Flash?
Step 3.7 Flash is the stronger model overall, scoring 37.3 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Step 3.7 Flash better for coding?
Step 3.7 Flash scores higher on coding benchmarks: 40.0 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Step 3.7 Flash share?
0 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Step 3.7 Flash has 5.