# Gemini 3.7 Flash vs GPT-5.2

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

- Canonical page: https://benchlm.ai/compare/gemini-3-7-flash-vs-gpt-5-2
- Last updated: September 22, 2026

- Shared sourced benchmarks: 1
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Evidence is too thin for a benchmark verdict: Gemini 3.7 Flash and GPT-5.2 share only 1 sourced benchmark row.

## Summary

- Only 1 shared sourced benchmark row is available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Gemini 3.7 Flash has the lower published output-token price.
- Gemini 3.7 Flash has the larger published context window at 1M.

## Model Snapshot

| Property | Gemini 3.7 Flash | GPT-5.2 |
|----------|----------|----------|
| Creator | Google | OpenAI |
| Type | Proprietary | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 400K |
| Independent public score (not head-to-head) | 68.81 | 65.23 |
| Benchmarks Covered | 23 | 15 |
| Pricing (input/output) | $0.75 / $3.75 | $1.75 / $14.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Gemini 3.7 Flash public-lane score: 59.4 (Supported · #28/156)
- GPT-5.2 public-lane score: 48.2 (Supported · #74/156)

| Benchmark | Gemini 3.7 Flash | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 85.8% | Coming soon | Coming soon |
| Terminal-Bench 3.0 | 14.9% | Coming soon | Coming soon |
| AutomationBench | 30.4% | Coming soon | Coming soon |
| OSWorld 2.0 | 47.9% | Coming soon | Coming soon |
| Agents' Last Exam | 26.3% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 77.5% | Coming soon | Coming soon |
| ApprenticeBench | 16% | Coming soon | Coming soon |
| BrowseComp | Coming soon | 65.8% | Coming soon |
| OSWorld-Verified | Coming soon | 47.3% | Coming soon |
| Gert Labs | Coming soon | 46.54% | Coming soon |
| JobBench | Coming soon | 34.3% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Gemini 3.7 Flash public-lane score: 62.3 (Supported · #20/159)
- GPT-5.2 public-lane score: 46.2 (Supported · #87/159)

| Benchmark | Gemini 3.7 Flash | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| FrontierCode 1.1 Main | 43.6% | Coming soon | Coming soon |
| DeepSWE | 65.3% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | 85.8% | Coming soon | Coming soon |
| FrontierSWE v2 | 20.3% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 88.7% | Coming soon | Coming soon |
| SWE-bench (Vals) | 80.8% | Coming soon | Coming soon |
| SWE-bench Verified | Coming soon | 80% | Coming soon |
| SWE-bench Pro | Coming soon | 55.6% | Coming soon |
| Vibe Code Bench | Coming soon | 53.50% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Gemini 3.7 Flash public-lane score: 77.2 (Unranked · 3 rankable rows)
- GPT-5.2 public-lane score: 53.7 (Unranked · 3 rankable rows)

| Benchmark | Gemini 3.7 Flash | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| MRCR v2 64K-128K | 97% | Coming soon | Coming soon |
| ARC-AGI-2 | Coming soon | 52.9% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- Gemini 3.7 Flash public-lane score: 82.6 (#10/50)
- GPT-5.2 public-lane score: 66.3 (#23/50)

| Benchmark | Gemini 3.7 Flash | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| CharXiv w/o tools | 84.5% | Coming soon | Coming soon |
| CharXiv | 88.7% | 82.1% | Gemini 3.7 Flash |
| LVBench | 85.4% | Coming soon | Coming soon |
| MMMU-Pro | Coming soon | 79.5% | Coming soon |
| MathVision | Coming soon | 83.0% | Coming soon |
| V* | Coming soon | 75.9% | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- Gemini 3.7 Flash public-lane score: 68.8 (Supported · #15/187)
- GPT-5.2 public-lane score: 61.5 (Supported · #30/187)

| Benchmark | Gemini 3.7 Flash | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| HLE-Verified | 53.6% | Coming soon | Coming soon |
| LABBench2 | 82.1% | Coming soon | Coming soon |
| BioMysteryBench (human-solvable) | 87.1% | Coming soon | Coming soon |
| BioMysteryBench (human-difficult) | 43.5% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 93.9% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 90.1% | Coming soon | Coming soon |
| GPQA | Coming soon | 92.4% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- Gemini 3.7 Flash public-lane score: Coming soon
- GPT-5.2 public-lane score: 91.2 (#15/124)

### Mathematics

- Winner: Insufficient shared evidence
- Gemini 3.7 Flash public-lane score: Coming soon
- GPT-5.2 public-lane score: 57.4 (Unranked · 2 rankable rows)

| Benchmark | Gemini 3.7 Flash | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | Coming soon | 40.700% | Coming soon |
| FrontierMath v2 (Tier 4) | Coming soon | 18.800% | Coming soon |

## FAQ

### Is there enough evidence to pick between Gemini 3.7 Flash and GPT-5.2?

Not yet. The models share only 1 sourced benchmark row, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

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

## Explore More

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