# Qwen3 235B-A22B vs Step 3.7 Flash

> Qwen3 235B-A22B is the stronger model overall, scoring 43.2 to 36.5 on the Noometry Index. Step 3.7 Flash costs 2.9× less per token, which makes it the better buy when Qwen3 235B-A22B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/qwen3-235b-a22b-vs-step-3-7-flash
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Qwen3 235B-A22B scores higher in 2 categories and Step 3.7 Flash in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 235B-A22B leads 48.5 to 40.9.
- Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $0.70 / $2.80 for Qwen3 235B-A22B.
- Step 3.7 Flash accepts more context: 256K tokens versus 131K.

## Snapshot

| | Qwen3 235B-A22B | Step 3.7 Flash |
|---|---|---|
| Provider | Alibaba (Qwen) | StepFun |
| Noometry Index | 43.2 | 36.5 |
| Rank | 83 | 207 |
| Context | 131K | 256K |
| Input $/M | $0.70 | $0.18 |
| Output $/M | $2.80 | $1.11 |
| Weights | Open | Open |

## Coding

- Qwen3 235B-A22B: 43.8 (#72)
- Step 3.7 Flash: 39.4 (#147)

| Benchmark | Qwen3 235B-A22B | Step 3.7 Flash |
|---|---|---|
| SciCode | 42.4% | 40% |
| Aider Polyglot | 59.6% | — |
| WeirdML | 41% | — |
| LMArena Coding | 1445 | — |
| ALE-Bench | — | 694.12 |

## Agentic & Tool Use

- Qwen3 235B-A22B: 33.7 (#48)
- Step 3.7 Flash: —

| Benchmark | Qwen3 235B-A22B | Step 3.7 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 52.1% | — |
| Vending-Bench 2 | -11.34 | — |

## Reasoning

- Qwen3 235B-A22B: 15.8 (#302)
- Step 3.7 Flash: 20.9 (#211)

| Benchmark | Qwen3 235B-A22B | Step 3.7 Flash |
|---|---|---|
| CritPt | 0% | 2.3% |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31% | — |
| Kagi LLM Benchmark | 69.4% | — |
| NYT Connections (extended) | — | 39.7% |
| ARC-AGI-1 | 11% | — |
| Chess Puzzles | 12% | — |
| LMArena Hard Prompts | 1433 | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 29.3% | — |
| Epoch Capabilities Index | 143.87 | — |
| ForecastBench | 59.7 | — |

## Math

- Qwen3 235B-A22B: 48.5 (#51)
- Step 3.7 Flash: 40.9 (#74)

| Benchmark | Qwen3 235B-A22B | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
| OTIS Mock AIME 2024-2025 | 86.7% | — |
| Omni-MATH | 71.8% | — |
| LMArena Math | 1431 | — |
| MATH Level 5 | 68.9% | — |
| FrontierMath (Feb 2025 set) | 8.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- Qwen3 235B-A22B: 49.5 (#67)
- Step 3.7 Flash: —

| Benchmark | Qwen3 235B-A22B | Step 3.7 Flash |
|---|---|---|
| GPQA Diamond | 80.1% | — |
| SimpleQA Verified | 40.4% | — |
| MMLU-Pro | 84.4% | — |
| Confabulations | 15.6% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 72.7% | — |
| LMArena Expert | 1460 | — |

## Multilingual

- Qwen3 235B-A22B: 52.5 (#84)
- Step 3.7 Flash: —

| Benchmark | Qwen3 235B-A22B | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1410 | — |
| LMArena Chinese | 1481 | — |
| LMArena French | 1445 | — |
| LMArena German | 1432 | — |
| LMArena Japanese | 1400 | — |
| LMArena Korean | 1391 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1429 | — |

## Instruction Following

- Qwen3 235B-A22B: 72.8 (#132)
- Step 3.7 Flash: —

| Benchmark | Qwen3 235B-A22B | Step 3.7 Flash |
|---|---|---|
| IFEval | 83.5% | — |
| LMArena Instruction Following | 1408 | — |

## Long Context

- Qwen3 235B-A22B: 46.1 (#25)
- Step 3.7 Flash: —

| Benchmark | Qwen3 235B-A22B | Step 3.7 Flash |
|---|---|---|
| Fiction.LiveBench | 75% | — |
| LMArena Longer Query | 1426 | — |

## Writing & Preference

- Qwen3 235B-A22B: 59.8 (#103)
- Step 3.7 Flash: —

| Benchmark | Qwen3 235B-A22B | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1419 | — |
| LMArena Creative Writing | 1384 | — |
| Short-Story Creative Writing | 83% | — |
| EQ-Bench Creative Writing | 1366 | — |
| WildBench | 86.6% | — |
| LMArena Multi-Turn | 1432 | — |

## FAQ

### Is Qwen3 235B-A22B better than Step 3.7 Flash?

Qwen3 235B-A22B is the stronger model overall, scoring 43.2 to 36.5 on the Noometry Index. Step 3.7 Flash costs 2.9× less per token, which makes it the better buy when Qwen3 235B-A22B's lead doesn't matter for your workload.

### Which is cheaper, Qwen3 235B-A22B 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; Qwen3 235B-A22B lists at $0.70 and $2.80.

### Is Qwen3 235B-A22B or Step 3.7 Flash better for coding?

Qwen3 235B-A22B scores higher on coding benchmarks: 43.8 versus 39.4 in the Noometry coding category.

### Which has the bigger context window?

Step 3.7 Flash does, with 256K tokens against 131K.

### How many benchmarks do Qwen3 235B-A22B and Step 3.7 Flash share?

2 benchmarks have published results for both models. Qwen3 235B-A22B has 49 scored results on Noometry and Step 3.7 Flash has 5.