# DeepSeek-V2.5 (Sep 2024) vs Step 3.7 Flash

> DeepSeek-V2.5 (Sep 2024) and Step 3.7 Flash score almost the same on the Noometry Index (37.6 vs 37.3), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-step-3-7-flash
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where Step 3.7 Flash leads 40.0 to 31.7.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Step 3.7 Flash |
|---|---|---|
| Provider | DeepSeek | StepFun |
| Noometry Index | 37.6 | 37.3 |
| Rank | 200 | 207 |
| Context | — | 256K |
| Input $/M | — | $0.18 |
| Output $/M | — | $1.11 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- Step 3.7 Flash: 40.0 (#150)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3.7 Flash |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| SciCode | — | 40% |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1309 | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 694.12 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
- Step 3.7 Flash: 21.6 (#219)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
| LMArena Hard Prompts | 1289 | — |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- Step 3.7 Flash: 42.9 (#82)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
| LMArena Math | 1288 | — |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- Step 3.7 Flash: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3.7 Flash |
|---|---|---|
| LMArena Expert | 1266 | — |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- Step 3.7 Flash: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena Chinese | 1318 | — |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
- Step 3.7 Flash: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1280 | — |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- Step 3.7 Flash: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1301 | — |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- Step 3.7 Flash: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Step 3.7 Flash?

DeepSeek-V2.5 (Sep 2024) and Step 3.7 Flash score almost the same on the Noometry Index (37.6 vs 37.3), so choose on price, context window or the category you care about most.

### Is DeepSeek-V2.5 (Sep 2024) or Step 3.7 Flash better for coding?

Step 3.7 Flash scores higher on coding benchmarks: 40.0 versus 31.7 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Step 3.7 Flash share?

0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Step 3.7 Flash has 5.