# Gemini 3.7 Flash vs GPT-5.4

> Gemini 3.7 Flash and GPT-5.4 score almost the same on the Noometry Index (59.8 vs 59.4), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gemini-3-7-flash-vs-gpt-5-4
- Last updated: 2026-10-10
- Shared benchmarks: 40

## Summary

- They share 40 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 5 categories and GPT-5.4 in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 61.8.
- The biggest single-benchmark swing is SimpleQA Verified: 69.2% for Gemini 3.7 Flash and 45.1% for GPT-5.4.
- Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2.50 / $15 for GPT-5.4.
- GPT-5.4 accepts more context: 1.05M tokens versus 1.05M.

## Snapshot

| | Gemini 3.7 Flash | GPT-5.4 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 59.8 | 59.4 |
| Rank | 14 | 16 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.75 | $2.50 |
| Output $/M | $3.75 | $15 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.7 Flash: 56.2 (#22)
- GPT-5.4: 52.6 (#33)

| Benchmark | Gemini 3.7 Flash | GPT-5.4 |
|---|---|---|
| DeepSWE | 65.5% | 51.8% |
| LMArena WebDev | 1592 | 1465 |
| SciCode | 59.8% | 56.6% |
| LMArena Coding | 1497 | 1497 |
| ALE-Bench | 904.3 | 1,607 |
| SWE-bench Verified | — | 76.9% |
| FrontierCode | 43.6% | — |
| FrontierSWE | 20.3% | — |
| GSO | — | 31.4% |
| WeirdML | — | 77.7% |
| MirrorCode | — | 15.6% |
| AlgoTune | — | 1.85 |

## Agentic & Tool Use

- Gemini 3.7 Flash: 42.1 (#19)
- GPT-5.4: 46.5 (#13)

| Benchmark | Gemini 3.7 Flash | GPT-5.4 |
|---|---|---|
| APEX-Agents | 67.8% | 52.4% |
| Terminal-Bench | — | 81.8% |
| Remote Labor Index | 5% | — |
| τ²-bench Banking | — | 39.4% |
| DeepResearch Bench | — | 35.1% |
| PostTrainBench | — | 19% |
| GBAEval | — | 45.1% |
| GDP.pdf | 23.8% | — |
| LMArena Search | — | 1197 |
| METR Time Horizons | — | 74.3% |
| Vending-Bench 2 | — | 6,144 |

## Reasoning

- Gemini 3.7 Flash: 70.0 (#15)
- GPT-5.4: 61.8 (#19)

| Benchmark | Gemini 3.7 Flash | GPT-5.4 |
|---|---|---|
| ARC-AGI-2 | 84.6% | 74% |
| NYT Connections (extended) | 94% | 91.3% |
| ARC-AGI-1 | 95.5% | 93.7% |
| CritPt | 14.3% | 23.4% |
| Chess Puzzles | 47% | 44% |
| LMArena Hard Prompts | 1494 | 1485 |
| Mystery Game Puzzles | 37% | 37% |
| DTBench | 96.8% | 94.4% |
| LMCA | 50.4% | 52% |
| Epoch Capabilities Index | 157.27 | 156.81 |
| Kagi LLM Benchmark | — | 63.8% |
| EnigmaEval | — | 16% |
| Thematic Generalization | — | 80% |
| EBR-Bench | — | 25.4% |
| ForecastBench | — | 59.5 |

## Math

- Gemini 3.7 Flash: 69.6 (#23)
- GPT-5.4: 73.5 (#19)

| Benchmark | Gemini 3.7 Flash | GPT-5.4 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 71.6% | 78.6% |
| FrontierMath Tier 4 | 36.6% | 49% |
| OTIS Mock AIME 2024-2025 | 97.2% | 97.8% |
| ProofBench | 58% | 56% |
| LMArena Math | 1507 | 1488 |
| MathArena Final-Answer Competitions | — | 83.1% |
| FrontierMath (Feb 2025 set) | — | 47.6% |
| FrontierMath Tier 4 (v1) | — | 27.1% |

## Knowledge

- Gemini 3.7 Flash: 69.7 (#5)
- GPT-5.4: 65.3 (#14)

| Benchmark | Gemini 3.7 Flash | GPT-5.4 |
|---|---|---|
| GPQA Diamond | 94.8% | 93.3% |
| SimpleQA Verified | 69.2% | 45.1% |
| LMArena Expert | 1508 | 1507 |
| Humanity's Last Exam | — | 36.2% |
| Vectara Hallucination Rate | — | 7% |

## Multimodal

- Gemini 3.7 Flash: 37.3 (#73)
- GPT-5.4: 43.7 (#20)

| Benchmark | Gemini 3.7 Flash | GPT-5.4 |
|---|---|---|
| LMArena Vision | 1316 | 1303 |
| Furniture Assembly | 26.7% | 37.5% |
| Blueprint-Bench 2 | — | 27.1% |
| LMArena Document | — | 1471 |

## Multilingual

- Gemini 3.7 Flash: 57.6 (#7)
- GPT-5.4: 56.2 (#23)

| Benchmark | Gemini 3.7 Flash | GPT-5.4 |
|---|---|---|
| LMArena Non-English | 1484 | 1465 |
| LMArena Chinese | 1548 | 1519 |
| LMArena French | 1505 | 1493 |
| LMArena German | 1498 | 1472 |
| LMArena Japanese | 1512 | 1485 |
| LMArena Korean | 1483 | 1448 |
| LMArena Russian | 1516 | 1480 |
| LMArena Spanish | 1503 | 1454 |

## Instruction Following

- Gemini 3.7 Flash: 77.7 (#15)
- GPT-5.4: 77.1 (#27)

| Benchmark | Gemini 3.7 Flash | GPT-5.4 |
|---|---|---|
| LMArena Instruction Following | 1483 | 1469 |

## Long Context

- Gemini 3.7 Flash: 45.7 (#30)
- GPT-5.4: 50.3 (#8)

| Benchmark | Gemini 3.7 Flash | GPT-5.4 |
|---|---|---|
| LMArena Longer Query | 1492 | 1473 |
| CL-bench | — | 27.9% |
| CL-bench Life | — | 21.7% |

## Writing & Preference

- Gemini 3.7 Flash: 71.2 (#20)
- GPT-5.4: 71.9 (#17)

| Benchmark | Gemini 3.7 Flash | GPT-5.4 |
|---|---|---|
| LMArena Text | 1486 | 1469 |
| LMArena Creative Writing | 1490 | 1439 |
| EQ-Bench Creative Writing | 1723 | 1840 |
| LMArena Multi-Turn | 1489 | 1482 |
| EQ-Bench 4 | — | 1272 |

## FAQ

### Is Gemini 3.7 Flash better than GPT-5.4?

Gemini 3.7 Flash and GPT-5.4 score almost the same on the Noometry Index (59.8 vs 59.4), so choose on price, context window or the category you care about most.

### Which is cheaper, Gemini 3.7 Flash or GPT-5.4?

Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-5.4 lists at $2.50 and $15.

### Is Gemini 3.7 Flash or GPT-5.4 better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 52.6 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.4 does, with 1.05M tokens against 1.05M.

### How many benchmarks do Gemini 3.7 Flash and GPT-5.4 share?

40 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and GPT-5.4 has 68.