Compare / head-to-head
Gemini 3.7 FlashvsGPT-5 nano
Gemini 3.7 Flash leads 5 of 5 shared benchmarks. GPT-5 nano is 10x cheaper per token. Gemini 3.7 Flash has the larger context window (1.0M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
5 – 0
Gemini 3.7 Flash leads
Cheaper per token
GPT-5 nano
10x cheaper, input + output
Larger context
Gemini 3.7 Flash
1.0M tokens
Provider uptime (30d)
100% · 94.2446%
Google · OpenAI
Gemini 3.7 Flash
Google · released 2026-08-13
textvisionaudio
GPT-5 nano
OpenAI · released 2025-08-07
textvision
Quality
Benchmark matrix
5 shared · 9 only Gemini 3.7 Flash · 2 only GPT-5 nano| Benchmark | Gemini 3.7 Flash | GPT-5 nano | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 5 | ||||
| GPQA Diamond | 94.8% ↗epoch | 69.4% ↗epoch | +25.4 pt | Gemini 3.7 Flash |
| FrontierMath Tier 4 v2 (Epoch AI run) | 36.6% ↗epoch | 2.4% ↗epoch | +34.2 pt | Gemini 3.7 Flash |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 71.6% ↗epoch | 20% ↗epoch | +51.6 pt | Gemini 3.7 Flash |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 97.2% ↗epoch | 81.1% ↗epoch | +16.1 pt | Gemini 3.7 Flash |
| SimpleQA Verified | 69.2% ↗epoch | 11.7% ↗epoch | +57.5 pt | Gemini 3.7 Flash |
| Only Gemini 3.7 Flash reports · 9 | ||||
| Artificial Analysis Intelligence Index | 56 ↗ | not reported | — | — |
| Code Arena | 1588 ↗ | not reported | — | — |
| DeepSWE v1.1 | 65.3% ↗ | not reported | — | — |
| FrontierCode 1.1 | 43.6% ↗ | not reported | — | — |
| GDPVal-AA v2 | 1525 ↗ | not reported | — | — |
| HLE-Verified | 53.6% ↗ | not reported | — | — |
| OSWorld-2.0 | 47.9% ↗ | not reported | — | — |
| Terminal-bench 2.1 | 85.8% ↗ | not reported | — | — |
| Terminal-bench 3.0 | 14.9% ↗ | not reported | — | — |
| Only GPT-5 nano reports · 2 | ||||
| SWE-bench Verified | not reported | 54.7% ↗ | — | — |
| AIME 2025 | not reported | 85% ↗matharena ⚠ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Gemini 3.7 Flash minus GPT-5 nano in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Gemini 3.7 Flash | GPT-5 nano | Edge |
|---|---|---|---|
| Context window | 1.0M tokens | 400K tokens | Gemini 3.7 Flash |
| Max output | 66K tokens | 128K tokens | GPT-5 nano |
| Input price / 1M | $0.75 ↗ | $0.05 ↗ | GPT-5 nano |
| Output price / 1M | $3.75 ↗ | $0.4 ↗ | GPT-5 nano |
| Cached input / 1M | $0.075 ↗ | $0.005 ↗ | GPT-5 nano |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $4.5 | $0.45 | GPT-5 nano |
| Modalities | text · vision · audio | text · vision | Gemini 3.7 Flash |
| Released | 2026-08-13 | 2025-08-07 | — |
| Cited benchmark scores | 14 | 7 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Gemini 3.7 Flash vs …
Models sharing the most benchmarksMore matchups
GPT-5 nano vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Gemini 3.7 Flash and GPT-5 nano on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.