Model comparison
DeepSeek-R1-Distill-Llama-70B vs Step 3.7 Flash
DeepSeek-R1-Distill-Llama-70B and Step 3.7 Flash score almost the same on the Noometry Index (37.8 vs 37.3), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
DeepSeek
StepFunSummary
- The widest gap is in math, where Step 3.7 Flash leads 42.9 to 36.0.
Side by side
| DeepSeek-R1-Distill-Llama-70B | Step 3.7 Flash | |
|---|---|---|
| Provider | DeepSeek | StepFun |
| Noometry Index | 37.8 | 37.3 |
| Released | 2025-01-20 | 2026-05-29 |
| Weights | Open | Open |
| Context window | — | 256K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.18 |
| Output $ / M tokens | — | $1.11 |
| Results tracked | 13 | 5 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Step 3.7 Flash leads
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), Step 3.7 Flash: 40.0 (#150)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Step 3.7 Flash |
|---|---|---|
| SciCode | — | 40% |
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| BigCodeBench Complete | 49.9% | — |
| ALE-Bench | — | 694.12 |
Reasoning DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), Step 3.7 Flash: 21.6 (#219)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Step 3.7 Flash |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
| LiveBench Reasoning | 67.6% | — |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math Step 3.7 Flash leads
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), Step 3.7 Flash: 42.9 (#82)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| MATH Level 5 | 89.9% | — |
Knowledge Not comparable
DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), Step 3.7 Flash: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Step 3.7 Flash |
|---|---|---|
| GPQA Diamond | 55.7% | — |
Instruction Following Not comparable
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), Step 3.7 Flash: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Step 3.7 Flash |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), Step 3.7 Flash: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Step 3.7 Flash |
|---|---|---|
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Step 3.7 Flash?
DeepSeek-R1-Distill-Llama-70B and Step 3.7 Flash score almost the same on the Noometry Index (37.8 vs 37.3), so choose on price, context window or the category you care about most.
Is DeepSeek-R1-Distill-Llama-70B or Step 3.7 Flash better for coding?
Step 3.7 Flash scores higher on coding benchmarks: 40.0 versus 36.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Step 3.7 Flash share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Step 3.7 Flash has 5.