# GPT-5.2 vs Step 3.7 Flash

> Side-by-side benchmark comparison for GPT-5.2 and Step 3.7 Flash across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-2-vs-step-3-7-flash
- Last updated: October 15, 2026

- Shared sourced benchmarks: 5
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

GPT-5.2 leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- GPT-5.2 has the higher overall point estimate 59.81 to 43.7. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in knowledge, where the averages are 59.6 for GPT-5.2 and 45 for Step 3.7 Flash.
- The biggest single benchmark swing is SimpleVQA in Multimodal & Grounded, with scores of 55.8% and 79.2%.
- Step 3.7 Flash is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GPT-5.2 also has the larger context window at 400K.

## Model Snapshot

| Property | GPT-5.2 | Step 3.7 Flash |
|----------|----------|----------|
| Creator | OpenAI | StepFun |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 400K | 256K |
| Overall Score | 59.81 | 43.7 |
| Benchmarks Covered | 31 | 11 |
| Pricing (input/output) | $1.75 / $14.00 | $0.20 / $1.15 |

## Category Breakdown

### Agentic

- Winner: Directional only
- GPT-5.2 public-lane score: 44.6 (Supported · #57/126)
- Step 3.7 Flash public-lane score: 37.1 (Estimated · #74/126)

| Benchmark | GPT-5.2 | Step 3.7 Flash | Winner |
|-----------|-----------|-----------|--------|
| BrowseComp | 65.8% | 75.8% | Step 3.7 Flash |
| OSWorld-Verified | 47.3% | Coming soon | Coming soon |
| Gert Labs | 46.54% | 51.57% | Step 3.7 Flash |
| JobBench | 34.3% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | Coming soon | 59.5% | Coming soon |
| DeepSearchQA | Coming soon | 92.8% | Coming soon |
| Toolathlon | Coming soon | 49.5% | Coming soon |
| Claw-Eval | Coming soon | 67.1% | Coming soon |
| HLE w/ tools | Coming soon | 47.2% | Coming soon |

### Coding

- Winner: Directional only
- GPT-5.2 public-lane score: 36.9 (Supported · #72/149)
- Step 3.7 Flash public-lane score: 30.2 (Estimated · #95/149)

| Benchmark | GPT-5.2 | Step 3.7 Flash | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 80% | Coming soon | Coming soon |
| SWE-bench Pro | 55.6% | 56.3% | Step 3.7 Flash |
| Vibe Code Bench | 53.50% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | Coming soon | 59.5% | Coming soon |

### Reasoning

- Winner: Not comparable
- GPT-5.2 public-lane score: 64.3 (Unranked · 4 rankable rows)
- Step 3.7 Flash public-lane score: 76.5 (Unranked · 2 rankable rows)

| Benchmark | GPT-5.2 | Step 3.7 Flash | Winner |
|-----------|-----------|-----------|--------|
| ARC-AGI-2 | 52.9% | Coming soon | Coming soon |
| ARC-AGI-1 | 86.17% | Coming soon | Coming soon |

### Multimodal & Grounded

- Winner: Not comparable
- GPT-5.2 public-lane score: 75.9 (#22/54)
- Step 3.7 Flash public-lane score: 75.4 (Unranked · 3 rankable rows)

| Benchmark | GPT-5.2 | Step 3.7 Flash | Winner |
|-----------|-----------|-----------|--------|
| MMMU | 86.7% | Coming soon | Coming soon |
| MMMU-Pro | 79.5% | Coming soon | Coming soon |
| RealWorldQA | 83.3% | Coming soon | Coming soon |
| OmniDocBench 1.5 | 85.7% | Coming soon | Coming soon |
| Video-MME (with subtitle) | 86.0% | Coming soon | Coming soon |
| Video-MME (w/o subtitle) | 85.8% | Coming soon | Coming soon |
| MathVision | 83.0% | Coming soon | Coming soon |
| We-Math | 79.0% | Coming soon | Coming soon |
| DynaMath | 86.8% | Coming soon | Coming soon |
| SimpleVQA | 55.8% | 79.2% | Step 3.7 Flash |
| CC-OCR | 70.3% | Coming soon | Coming soon |
| AI2D_TEST | 92.2% | Coming soon | Coming soon |
| CountBench | 91.9% | Coming soon | Coming soon |
| ERQA | 59.8% | Coming soon | Coming soon |
| VideoMMMU | 85.9% | Coming soon | Coming soon |
| MLVU (M-Avg) | 85.6% | Coming soon | Coming soon |
| CharXiv | 82.1% | Coming soon | Coming soon |
| V* | 75.9% | 95.3% | Step 3.7 Flash |

### Knowledge

- Winner: Directional only
- GPT-5.2 public-lane score: 59.6 (Supported · #49/182)
- Step 3.7 Flash public-lane score: 45 (Estimated · #96/182)

| Benchmark | GPT-5.2 | Step 3.7 Flash | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 92.4% | Coming soon | Coming soon |

### Instruction Following

- Winner: Directional only
- GPT-5.2 public-lane score: 92.6 (#19/146)
- Step 3.7 Flash public-lane score: 82.1 (#54/146)

### Mathematics

- Winner: Not comparable
- GPT-5.2 public-lane score: 71.1 (Unranked · 3 rankable rows)
- Step 3.7 Flash public-lane score: Coming soon

| Benchmark | GPT-5.2 | Step 3.7 Flash | Winner |
|-----------|-----------|-----------|--------|
| AIME 2025 | 100% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 67.400% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 31.700% | Coming soon | Coming soon |

## FAQ

### Which is better overall, GPT-5.2 or Step 3.7 Flash?

GPT-5.2 has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between GPT-5.2 and Step 3.7 Flash?

The widest category gap is in knowledge, where the averages are 59.6 for GPT-5.2 and 45 for Step 3.7 Flash.

### How many benchmarks does GPT-5.2 cover on BenchLM?

GPT-5.2 currently has 31 sourced benchmark scores on BenchLM.

### How many benchmarks does Step 3.7 Flash cover on BenchLM?

Step 3.7 Flash currently has 11 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GPT-5.2 vs GPT-5.2 Pro](/compare/gpt-5-2-vs-gpt-5-2-pro)
- [Step 3.7 Flash vs GPT-5.2 Pro](/compare/gpt-5-2-pro-vs-step-3-7-flash)
- [GPT-5.2 vs GPT-5.2 Instant](/compare/gpt-5-2-vs-gpt-5-2-instant)
- [Step 3.7 Flash vs GPT-5.2 Instant](/compare/gpt-5-2-instant-vs-step-3-7-flash)

## Explore More

- [GPT-5.2 profile](/models/gpt-5-2)
- [Step 3.7 Flash profile](/models/step-3-7-flash)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
