Model comparison
Qwen2.5-VL 72B Instruct vs Step 3.7 Flash
Step 3.7 Flash is the stronger model overall, scoring 36.5 to 29.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)
StepFunSummary
- Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
- Step 3.7 Flash accepts more context: 256K tokens versus 131K.
Side by side
| Qwen2.5-VL 72B Instruct | Step 3.7 Flash | |
|---|---|---|
| Provider | Alibaba (Qwen) | StepFun |
| Noometry Index | 29.4 | 36.5 |
| Released | 2024-09 | 2026-05-29 |
| Weights | Open | Open |
| Context window | 131K | 256K |
| Max output | 8K | 256K |
| Input $ / M tokens | $2.80 | $0.18 |
| Output $ / M tokens | $8.40 | $1.11 |
| Results tracked | 6 | 5 |
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Category by category
Coding Not comparable
Qwen2.5-VL 72B Instruct: —, Step 3.7 Flash: 39.4 (#147)
Agentic & Tool Use Not comparable
Qwen2.5-VL 72B Instruct: 18.4 (#136), Step 3.7 Flash: —
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.7 Flash |
|---|---|---|
| OSWorld | 5% | — |
Reasoning Too close to call
Qwen2.5-VL 72B Instruct: 20.0 (#228), Step 3.7 Flash: 20.9 (#211)
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.7 Flash |
|---|---|---|
| Kagi LLM Benchmark | 36% | — |
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
Math Not comparable
Qwen2.5-VL 72B Instruct: —, Step 3.7 Flash: 40.9 (#74)
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
Multimodal Not comparable
Qwen2.5-VL 72B Instruct: 32.9 (#92), Step 3.7 Flash: —
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.7 Flash |
|---|---|---|
| LMArena Vision | 1107 | — |
| Video-MME | 73.5% | — |
| GeoBench | 62% | — |
| SpatialViz-Bench | 33.3% | — |
Frequently asked questions
Is Qwen2.5-VL 72B Instruct better than Step 3.7 Flash?
Step 3.7 Flash is the stronger model overall, scoring 36.5 to 29.4 on the Noometry Index.
Which is cheaper, Qwen2.5-VL 72B Instruct or Step 3.7 Flash?
Step 3.7 Flash is cheaper. It lists at $0.18 per million input tokens and $1.11 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.
Which has the bigger context window?
Step 3.7 Flash does, with 256K tokens against 131K.
How many benchmarks do Qwen2.5-VL 72B Instruct and Step 3.7 Flash share?
0 benchmarks have published results for both models. Qwen2.5-VL 72B Instruct has 6 scored results on Noometry and Step 3.7 Flash has 5.