Gemini 3.5 FlashvsDeepSeek-V4-Flash
Across 7 shared benchmarks, Gemini 3.5 Flash leads overall: Gemini 3.5 Flash wins 5, DeepSeek-V4-Flash wins 2, with 0 ties and an average score difference of +10.57.
Gemini 3.5 Flash
Google Deep Mind · 2026-06-20 · Multimodal model
DeepSeek-V4-Flash
DeepSeek-AI · 2026-04-24 · Reasoning model
Gemini 3.5 Flash5 wins(71%)(29%)2 winsDeepSeek-V4-Flash
Benchmark scores
Grouped by capability, sorted by largest gap within each. 7 shared benchmarks.
Coding and Software Engineer
Even 2/2| Benchmark | Gemini 3.5 Flash | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| DeepSWE | 3723 / 27Thinking Medium (With Tools) | 54.4015 / 27Max (With Tools) | -17.40 |
| SWE-Bench Pro - Public | 55.1030 / 57Thinking High (With Tools) | 49.1047 / 57Normal (With Tools) | +6 |
General Knowledge
Gemini 3.5 Flash 2/2| Benchmark | Gemini 3.5 Flash | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| HLE | 40.2066 / 181Thinking High (With Tools) | 8.10164 / 181Normal (No Tools) | +32.10 |
| LiveBench | 75.0217 / 115Thinking High (No Tools) | 67.2549 / 115Normal (No Tools) | +7.77 |
AI Agent - Tool Usage
DeepSeek-V4-Flash 1/1| Benchmark | Gemini 3.5 Flash | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| Terminal-Bench 2.1 | 76.2023 / 44Thinking High (With Tools) | 82.7016 / 44Max (With Tools) | -6.50 |
Commonsense Reasoning
Gemini 3.5 Flash 1/1| Benchmark | Gemini 3.5 Flash | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| SimpleBench | 76.704 / 67Normal (No Tools) | 46.3036 / 67Normal (No Tools) | +30.40 |
General Evaluation
Gemini 3.5 Flash 1/1| Benchmark | Gemini 3.5 Flash | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| GPQA Diamond | 92.8019 / 226Thinking High (No Tools) | 71.20151 / 226Normal (No Tools) | +21.60 |
Specs
| Field | Gemini 3.5 Flash | DeepSeek-V4-Flash |
|---|---|---|
| Publisher | Google Deep Mind | DeepSeek-AI |
| Release date | 2026-06-20 | 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 3.5 Flash | DeepSeek-V4-Flash |
|---|---|---|
| Text input | $1.5 / 1M tokens | $0.14 / 1M tokens |
| Text output | $9 / 1M tokens | $0.28 / 1M tokens |
| Cache read | $0.15 / 1M tokens | $0.0028 / 1M tokens |
Summary
- Gemini 3.5 Flashleads in:General Knowledge (2/2), Commonsense Reasoning (1/1), General Evaluation (1/1)
- DeepSeek-V4-Flashleads in:AI Agent - Tool Usage (1/1)
- Tied in:Coding and Software Engineer
On average across the 7 shared benchmarks, Gemini 3.5 Flash scores 10.57 higher.
Largest single-benchmark gap: HLE — Gemini 3.5 Flash 40.20 vs DeepSeek-V4-Flash 8.10 (+32.10).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.