Gemini 3.6 FlashvsGrok 4.5
Across 3 shared benchmarks, Grok 4.5 leads overall: Gemini 3.6 Flash wins 0, Grok 4.5 wins 3, with 0 ties and an average score difference of -5.10.
Gemini 3.6 Flash
Google Deep Mind · 2026-07-21 · Multimodal model
Grok 4.5
xAI · 2026-07-08 · Coding model
Gemini 3.6 Flash0 wins(0%)(100%)3 winsGrok 4.5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
Coding and Software Engineer
Grok 4.5 2/2| Benchmark | Gemini 3.6 Flash | Grok 4.5 | Diff |
|---|---|---|---|
| SWE-Bench Pro - Public | 58.7011 / 53Thinking (With Tools) | 64.704 / 53Thinking High (With Tools) | -6 |
| DeepSWE | 4912 / 18Thinking (With Tools) | 5310 / 18Thinking High (With Tools) | -4 |
AI Agent - Tool Usage
Grok 4.5 1/1| Benchmark | Gemini 3.6 Flash | Grok 4.5 | Diff |
|---|---|---|---|
| TerminalBench 2.1 | 7813 / 27Thinking (With Tools) | 83.308 / 27Thinking High (With Tools) | -5.30 |
Specs
| Field | Gemini 3.6 Flash | Grok 4.5 |
|---|---|---|
| Publisher | Google Deep Mind | xAI |
| Release date | 2026-07-21 | 2026-07-08 |
| Model type | Multimodal model | Coding model |
| Architecture | Dense | Dense |
| Parameters | Not available | Not available |
| Context length | 1M | 500K |
| Max output | 64K | Not available |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Gemini 3.6 Flash | Grok 4.5 |
|---|---|---|
| Text input | $1.5 / 1M tokens | $2 / 1M tokens |
| Text output | $7.5 / 1M tokens | $6 / 1M tokens |
| Cache read | $0.15 / 1M tokens | $0.5 / 1M tokens |
Summary
- Grok 4.5leads in:Coding and Software Engineer (2/2), AI Agent - Tool Usage (1/1)
On average across the 3 shared benchmarks, Grok 4.5 scores 5.10 higher.
Largest single-benchmark gap: SWE-Bench Pro - Public — Gemini 3.6 Flash 58.70 vs Grok 4.5 64.70 (-6).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.