GLM-5.3-FlashvsGemini 3.7 Flash
Across 6 shared benchmarks, GLM-5.3-Flash leads overall: GLM-5.3-Flash wins 3, Gemini 3.7 Flash wins 2, with 1 ties and an average score difference of +43.95.
GLM-5.3-Flash
智谱AI · 2026-08-26 · Multimodal model
Gemini 3.7 Flash
Google Deep Mind · 2026-08-13 · Multimodal model
GLM-5.3-Flash3 wins(50%)Ties1(33%)2 winsGemini 3.7 Flash
Benchmark scores
Grouped by capability, sorted by largest gap within each. 6 shared benchmarks.
AI Agent - Tool Usage
Even 2/2| Benchmark | GLM-5.3-Flash | Gemini 3.7 Flash | Diff |
|---|---|---|---|
| AutomationBench | 48.801 / 9Max (With Tools) | 30.405 / 9Thinking (With Tools) | +18.40 |
| Terminal-Bench 2.1 | 84.3011 / 46Max (With Tools) | 85.809 / 46Thinking (With Tools) | -1.50 |
Agent Level Benchmark
Even 1/1| Benchmark | GLM-5.3-Flash | Gemini 3.7 Flash | Diff |
|---|---|---|---|
| Agents' Last Exam | 26.308 / 13Max (With Tools) | 26.308 / 13Thinking Medium (With Tools) | — |
Coding and Software Engineer
Gemini 3.7 Flash 1/1| Benchmark | GLM-5.3-Flash | Gemini 3.7 Flash | Diff |
|---|---|---|---|
| DeepSWE | 63.4011 / 30Max (With Tools) | 65.3010 / 30Thinking High (With Tools) | -1.90 |
Multimodal Understanding
GLM-5.3-Flash 1/1| Benchmark | GLM-5.3-Flash | Gemini 3.7 Flash | Diff |
|---|---|---|---|
| CharXiv RQ | 89.404 / 18Max (With Tools) | 88.706 / 18Thinking Medium (With Tools) | +0.70 |
Productivity Knowledge
GLM-5.3-Flash 1/1| Benchmark | GLM-5.3-Flash | Gemini 3.7 Flash | Diff |
|---|---|---|---|
| GDPval-AA v2 | 1,7732 / 15Max (With Tools) | 1,52510 / 15Thinking (No Tools) | +248 |
Specs
| Field | GLM-5.3-Flash | Gemini 3.7 Flash |
|---|---|---|
| Publisher | 智谱AI | Google Deep Mind |
| Release date | 2026-08-26 | 2026-08-13 |
| Model type | Multimodal model | Multimodal model |
| Architecture | MoE | Dense |
| Parameters | 320B | Not available |
| Context length | 1M | 1M |
| Max output | 128K | 64K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | GLM-5.3-Flash | Gemini 3.7 Flash |
|---|---|---|
| Text input | $0.075 / 1M tokens | $0.75 / 1M tokens |
| Text output | $0.25 / 1M tokens | $3.75 / 1M tokens |
| Cache read | $0.015 / 1M tokens | $0.075 / 1M tokens |
Summary
- GLM-5.3-Flashleads in:Multimodal Understanding (1/1), Productivity Knowledge (1/1)
- Gemini 3.7 Flashleads in:Coding and Software Engineer (1/1)
- Tied in:AI Agent - Tool Usage, Agent Level Benchmark
On average across the 6 shared benchmarks, GLM-5.3-Flash scores 43.95 higher.
Largest single-benchmark gap: GDPval-AA v2 — GLM-5.3-Flash 1,773 vs Gemini 3.7 Flash 1,525 (+248).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.