DeepSeek-V4-FlashvsGLM 5.1
Across 11 shared benchmarks, GLM 5.1 leads overall: DeepSeek-V4-Flash wins 2, GLM 5.1 wins 9, with 0 ties and an average score difference of -8.46.
DeepSeek-V4-Flash
DeepSeek-AI · 2026-04-24 · Reasoning model
GLM 5.1
智谱AI · 2026-03-27 · Reasoning model
DeepSeek-V4-Flash2 wins(18%)(82%)9 winsGLM 5.1
Benchmark scores
Grouped by capability, sorted by largest gap within each. 11 shared benchmarks.
Coding and Software Engineer
GLM 5.1 2/3| Benchmark | DeepSeek-V4-Flash | GLM 5.1 | Diff |
|---|---|---|---|
| Text Arena (Coding) | 1,5776 / 35Thinking High (No Tools) | 1,53413 / 35Normal (No Tools) | +42.54 |
| WeirdML v2 | 43.7644 / 52Thinking High (With Tools) | 57.1032 / 52Normal (With Tools) | -13.34 |
| SWE-Bench Pro - Public | 49.1047 / 57Normal (With Tools) | 58.4017 / 57Thinking (With Tools) | -9.30 |
AI Agent - Tool Usage
Even 2/2| Benchmark | DeepSeek-V4-Flash | GLM 5.1 | Diff |
|---|---|---|---|
| Terminal-Bench 2.1 | 82.7016 / 44Max (With Tools) | 58.7038 / 44Thinking High (With Tools) | +24 |
| Terminal Bench 2.0 | 49.1036 / 48Normal (With Tools) | 63.5013 / 48Thinking (With Tools) | -14.40 |
General Knowledge
GLM 5.1 2/2| Benchmark | DeepSeek-V4-Flash | GLM 5.1 | Diff |
|---|---|---|---|
| HLE | 8.10164 / 181Normal (No Tools) | 52.3021 / 181Thinking (With Tools) | -44.20 |
| LiveBench | 67.2549 / 115Normal (No Tools) | 70.1837 / 115Normal (No Tools) | -2.93 |
AI Agent - Information Search
GLM 5.1 1/1| Benchmark | DeepSeek-V4-Flash | GLM 5.1 | Diff |
|---|---|---|---|
| BrowseComp | 73.2028 / 54极高强度思考（工具） | 79.3017 / 54Thinking (With Tools + Internet) | -6.10 |
Commonsense Reasoning
GLM 5.1 1/1| Benchmark | DeepSeek-V4-Flash | GLM 5.1 | Diff |
|---|---|---|---|
| SimpleBench | 46.3036 / 67Normal (No Tools) | 58.7022 / 67Normal (No Tools) | -12.40 |
General Evaluation
GLM 5.1 1/1| Benchmark | DeepSeek-V4-Flash | GLM 5.1 | Diff |
|---|---|---|---|
| GPQA Diamond | 71.20151 / 226Normal (No Tools) | 86.2078 / 226Thinking (No Tools) | -15 |
Math and Reasoning
GLM 5.1 1/1| Benchmark | DeepSeek-V4-Flash | GLM 5.1 | Diff |
|---|---|---|---|
| IMO-AnswerBench | 41.9022 / 23Normal (No Tools) | 83.8014 / 23Thinking (No Tools) | -41.90 |
Specs
| Field | DeepSeek-V4-Flash | GLM 5.1 |
|---|---|---|
| Publisher | DeepSeek-AI | 智谱AI |
| Release date | 2026-04-24 | 2026-03-27 |
| Model type | Reasoning model | Reasoning model |
| Architecture | MoE | MoE |
| Parameters | 284B | 75.4B |
| Context length | 1M | 200K |
| Max output | 384K | 125K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | DeepSeek-V4-Flash | GLM 5.1 |
|---|---|---|
| Text input | $0.14 / 1M tokens | $1.4 / 1M tokens |
| Text output | $0.28 / 1M tokens | $4.4 / 1M tokens |
| Cache read | $0.0028 / 1M tokens | $4.4 / 1M tokens |
| Cache write | Not public | $0.26 / 1M tokens |
Summary
- GLM 5.1leads in:Coding and Software Engineer (2/3), General Knowledge (2/2), AI Agent - Information Search (1/1), Commonsense Reasoning (1/1), General Evaluation (1/1), Math and Reasoning (1/1)
- Tied in:AI Agent - Tool Usage
On average across the 11 shared benchmarks, GLM 5.1 scores 8.46 higher.
Largest single-benchmark gap: HLE — DeepSeek-V4-Flash 8.10 vs GLM 5.1 52.30 (-44.20).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.