Model comparison
Qwen2.5-VL 72B Instruct vs Step 3.5 Flash
Step 3.5 Flash is the stronger model overall, scoring 41.7 to 29.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)
StepFunSummary
- Step 3.5 Flash is cheaper at $0.10 / $0.30 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
- Step 3.5 Flash accepts more context: 256K tokens versus 131K.
Side by side
| Qwen2.5-VL 72B Instruct | Step 3.5 Flash | |
|---|---|---|
| Provider | Alibaba (Qwen) | StepFun |
| Noometry Index | 29.4 | 41.7 |
| Released | 2024-09 | 2026-01-29 |
| Weights | Open | Open |
| Context window | 131K | 256K |
| Max output | 8K | 256K |
| Input $ / M tokens | $2.80 | $0.10 |
| Output $ / M tokens | $8.40 | $0.30 |
| Results tracked | 6 | 19 |
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Category by category
Coding Not comparable
Qwen2.5-VL 72B Instruct: —, Step 3.5 Flash: 41.7 (#106)
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.5 Flash |
|---|---|---|
| LMArena Coding | — | 1436 |
Agentic & Tool Use Not comparable
Qwen2.5-VL 72B Instruct: 18.4 (#136), Step 3.5 Flash: —
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.5 Flash |
|---|---|---|
| OSWorld | 5% | — |
Reasoning Step 3.5 Flash leads
Qwen2.5-VL 72B Instruct: 20.0 (#228), Step 3.5 Flash: 21.2 (#202)
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.5 Flash |
|---|---|---|
| Kagi LLM Benchmark | 36% | — |
| NYT Connections (extended) | — | 28.4% |
| LMArena Hard Prompts | — | 1411 |
Math Not comparable
Qwen2.5-VL 72B Instruct: —, Step 3.5 Flash: 40.6 (#77)
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.5 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 66.8% |
| LMArena Math | — | 1408 |
Knowledge Not comparable
Qwen2.5-VL 72B Instruct: —, Step 3.5 Flash: 39.0 (#127)
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.5 Flash |
|---|---|---|
| LMArena Expert | — | 1422 |
Multimodal Not comparable
Qwen2.5-VL 72B Instruct: 32.9 (#92), Step 3.5 Flash: —
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.5 Flash |
|---|---|---|
| LMArena Vision | 1107 | — |
| Video-MME | 73.5% | — |
| GeoBench | 62% | — |
| SpatialViz-Bench | 33.3% | — |
Multilingual Not comparable
Qwen2.5-VL 72B Instruct: —, Step 3.5 Flash: 50.7 (#115)
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.5 Flash |
|---|---|---|
| LMArena Non-English | — | 1386 |
| LMArena Chinese | — | 1448 |
| LMArena French | — | 1421 |
| LMArena German | — | 1404 |
| LMArena Japanese | — | 1353 |
| LMArena Korean | — | 1350 |
| LMArena Russian | — | 1385 |
| LMArena Spanish | — | 1419 |
Instruction Following Not comparable
Qwen2.5-VL 72B Instruct: —, Step 3.5 Flash: 73.3 (#119)
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.5 Flash |
|---|---|---|
| LMArena Instruction Following | — | 1385 |
Long Context Not comparable
Qwen2.5-VL 72B Instruct: —, Step 3.5 Flash: 42.8 (#112)
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.5 Flash |
|---|---|---|
| LMArena Longer Query | — | 1402 |
Writing & Preference Not comparable
Qwen2.5-VL 72B Instruct: —, Step 3.5 Flash: 59.0 (#108)
| Benchmark | Qwen2.5-VL 72B Instruct | Step 3.5 Flash |
|---|---|---|
| LMArena Text | — | 1403 |
| LMArena Creative Writing | — | 1357 |
| LMArena Multi-Turn | — | 1405 |
Frequently asked questions
Is Qwen2.5-VL 72B Instruct better than Step 3.5 Flash?
Step 3.5 Flash is the stronger model overall, scoring 41.7 to 29.4 on the Noometry Index.
Which is cheaper, Qwen2.5-VL 72B Instruct or Step 3.5 Flash?
Step 3.5 Flash is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.
Which has the bigger context window?
Step 3.5 Flash does, with 256K tokens against 131K.
How many benchmarks do Qwen2.5-VL 72B Instruct and Step 3.5 Flash share?
0 benchmarks have published results for both models. Qwen2.5-VL 72B Instruct has 6 scored results on Noometry and Step 3.5 Flash has 19.