GLM-5.3-FlashvsDeepSeek-V4-Flash-Vision-Exp
Across 6 shared benchmarks, GLM-5.3-Flash leads overall: GLM-5.3-Flash wins 4, DeepSeek-V4-Flash-Vision-Exp wins 2, with 0 ties and an average score difference of +6.48.
GLM-5.3-Flash
智谱AI · 2026-08-26 · Multimodal model
DeepSeek-V4-Flash-Vision-Exp
DeepSeek-AI · 2026-08-21 · Multimodal model
GLM-5.3-Flash4 wins(67%)(33%)2 winsDeepSeek-V4-Flash-Vision-Exp
Benchmark scores
Grouped by capability, sorted by largest gap within each. 6 shared benchmarks.
AI Agent - Tool Usage
GLM-5.3-Flash 2/2| Benchmark | GLM-5.3-Flash | DeepSeek-V4-Flash-Vision-Exp | Diff |
|---|---|---|---|
| AutomationBench | 48.801 / 9Max (With Tools) | 25.708 / 9Max (With Tools) | +23.10 |
| Terminal-Bench 2.1 | 84.3011 / 46Max (With Tools) | 83.9012 / 46Max (With Tools) | +0.40 |
Coding and Software Engineer
Even 2/2| Benchmark | GLM-5.3-Flash | DeepSeek-V4-Flash-Vision-Exp | Diff |
|---|---|---|---|
| DeepSWE | 63.4011 / 30Max (With Tools) | 59.3013 / 30Max (With Tools) | +4.10 |
| NL2Repo-Bench | 56.304 / 10Max (With Tools) | 57.703 / 10Max (With Tools) | -1.40 |
Agent Level Benchmark
DeepSeek-V4-Flash-Vision-Exp 1/1| Benchmark | GLM-5.3-Flash | DeepSeek-V4-Flash-Vision-Exp | Diff |
|---|---|---|---|
| Agents' Last Exam | 26.308 / 13Max (With Tools) | 27.306 / 13Max (With Tools) | -1 |
Multimodal Understanding
GLM-5.3-Flash 1/1| Benchmark | GLM-5.3-Flash | DeepSeek-V4-Flash-Vision-Exp | Diff |
|---|---|---|---|
| Chartography | 781 / 2Max (With Tools) | 64.302 / 2Max (With Tools) | +13.70 |
Specs
| Field | GLM-5.3-Flash | DeepSeek-V4-Flash-Vision-Exp |
|---|---|---|
| Publisher | 智谱AI | DeepSeek-AI |
| Release date | 2026-08-26 | 2026-08-21 |
| Model type | Multimodal model | Multimodal model |
| Architecture | MoE | Dense |
| Parameters | 320B | Not available |
| Context length | 1M | 1M |
| Max output | 128K | 384K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | GLM-5.3-Flash | DeepSeek-V4-Flash-Vision-Exp |
|---|---|---|
| Text input | $0.075 / 1M tokens | $0.22 / 1M tokens |
| Text output | $0.25 / 1M tokens | $0.66 / 1M tokens |
| Cache read | $0.015 / 1M tokens | $0.007 / 1M tokens |
Summary
- GLM-5.3-Flashleads in:AI Agent - Tool Usage (2/2), Multimodal Understanding (1/1)
- DeepSeek-V4-Flash-Vision-Expleads in:Agent Level Benchmark (1/1)
- Tied in:Coding and Software Engineer
On average across the 6 shared benchmarks, GLM-5.3-Flash scores 6.48 higher.
Largest single-benchmark gap: AutomationBench — GLM-5.3-Flash 48.80 vs DeepSeek-V4-Flash-Vision-Exp 25.70 (+23.10).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.