Gemini 3.7 FlashvsDeepSeek-V4-Flash
Across 4 shared benchmarks, Gemini 3.7 Flash leads overall: Gemini 3.7 Flash wins 4, DeepSeek-V4-Flash wins 0, with 0 ties and an average score difference of +5.10.
Gemini 3.7 Flash
Google Deep Mind · 2026-08-13 · Multimodal model
DeepSeek-V4-Flash
DeepSeek-AI · 2026-04-24 · Reasoning model
Gemini 3.7 Flash4 wins(100%)(0%)0 winsDeepSeek-V4-Flash
Benchmark scores
Grouped by capability, sorted by largest gap within each. 4 shared benchmarks.
AI Agent - Tool Usage
Gemini 3.7 Flash 2/2| Benchmark | Gemini 3.7 Flash | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| AutomationBench | 30.404 / 8Thinking (With Tools) | 25.108 / 8Max (With Tools) | +5.30 |
| Terminal-Bench 2.1 | 85.809 / 44Thinking (With Tools) | 82.7016 / 44Max (With Tools) | +3.10 |
Agent Level Benchmark
Gemini 3.7 Flash 1/1| Benchmark | Gemini 3.7 Flash | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| Agents' Last Exam | 26.308 / 11Thinking Medium (With Tools) | 25.2010 / 11Max (With Tools) | +1.10 |
Coding and Software Engineer
Gemini 3.7 Flash 1/1| Benchmark | Gemini 3.7 Flash | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| DeepSWE | 65.3010 / 27Thinking High (With Tools) | 54.4015 / 27Max (With Tools) | +10.90 |
Specs
| Field | Gemini 3.7 Flash | DeepSeek-V4-Flash |
|---|---|---|
| Publisher | Google Deep Mind | DeepSeek-AI |
| Release date | 2026-08-13 | 2026-04-24 |
| Model type | Multimodal model | Reasoning model |
| Architecture | Dense | MoE |
| Parameters | Not available | 284B |
| Context length | 1M | 1M |
| Max output | 64K | 384K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Gemini 3.7 Flash | DeepSeek-V4-Flash |
|---|---|---|
| Text input | $0.75 / 1M tokens | $0.14 / 1M tokens |
| Text output | $3.75 / 1M tokens | $0.28 / 1M tokens |
| Cache read | $0.075 / 1M tokens | $0.0028 / 1M tokens |
Summary
- Gemini 3.7 Flashleads in:AI Agent - Tool Usage (2/2), Agent Level Benchmark (1/1), Coding and Software Engineer (1/1)
On average across the 4 shared benchmarks, Gemini 3.7 Flash scores 5.10 higher.
Largest single-benchmark gap: DeepSWE — Gemini 3.7 Flash 65.30 vs DeepSeek-V4-Flash 54.40 (+10.90).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.