DeepSeek-V4-ProvsGLM 5.1
Across 11 shared benchmarks, GLM 5.1 leads overall: DeepSeek-V4-Pro wins 4, GLM 5.1 wins 7, with 0 ties and an average score difference of -7.27.
DeepSeek-V4-Pro
DeepSeek-AI · 2026-08-13 · Reasoning model
GLM 5.1
智谱AI · 2026-03-27 · Reasoning model
DeepSeek-V4-Pro4 wins(36%)(64%)7 winsGLM 5.1
Benchmark scores
Grouped by capability, sorted by largest gap within each. 11 shared benchmarks.
Agent Level Benchmark
Even 2/2| Benchmark | DeepSeek-V4-Pro | GLM 5.1 | Diff |
|---|---|---|---|
| τ²-Bench - Telecom | 91.2059 / 264Normal (With Tools) | 97.1017 / 264Normal (With Tools) | -5.90 |
| Terminal Bench Hard | 36.4067 / 244Normal (With Tools) | 35.6070 / 244Normal (With Tools) | +0.80 |
General Knowledge
Even 2/2| Benchmark | DeepSeek-V4-Pro | GLM 5.1 | Diff |
|---|---|---|---|
| HLE | 8.20416 / 563Normal (No Tools) · Text only | 27.90226 / 563Normal (No Tools) · Text only | -19.70 |
| LiveBench | 71.5732 / 117Normal (No Tools) | 70.1837 / 117Normal (No Tools) | +1.39 |
Claw-style Agent Evaluation
DeepSeek-V4-Pro 1/1| Benchmark | DeepSeek-V4-Pro | GLM 5.1 | Diff |
|---|---|---|---|
| PinchBench v2 | 61.0732 / 45Reported best (effort unspecified) | 59.9533 / 45Reported best (effort unspecified) | +1.12 |
Commonsense Reasoning
GLM 5.1 1/1| Benchmark | DeepSeek-V4-Pro | GLM 5.1 | Diff |
|---|---|---|---|
| SimpleBench | 50.9050 / 93Normal (No Tools) | 55.1042 / 93Normal (No Tools) | -4.20 |
General Evaluation
GLM 5.1 1/1| Benchmark | DeepSeek-V4-Pro | GLM 5.1 | Diff |
|---|---|---|---|
| GPQA Diamond | 72.90301 / 462Normal (No Tools) | 83.90180 / 462Normal (No Tools) | -11 |
Instruction Following
GLM 5.1 1/1| Benchmark | DeepSeek-V4-Pro | GLM 5.1 | Diff |
|---|---|---|---|
| IF Bench | 45.80176 / 282Normal (No Tools) | 52148 / 282Normal (No Tools) | -6.20 |
Long Context
GLM 5.1 1/1| Benchmark | DeepSeek-V4-Pro | GLM 5.1 | Diff |
|---|---|---|---|
| AA-LCR | 53135 / 170Normal (No Tools) | 53.30134 / 170Normal (No Tools) | -0.30 |
Text Embedding
DeepSeek-V4-Pro 1/1| Benchmark | DeepSeek-V4-Pro | GLM 5.1 | Diff |
|---|---|---|---|
| Context Arena | 31.43115 / 126Normal (No Tools) | 30.29116 / 126Normal (No Tools) | +1.14 |
Writing and Creative Capabilities
GLM 5.1 1/1| Benchmark | DeepSeek-V4-Pro | GLM 5.1 | Diff |
|---|---|---|---|
| Creative Writing | 1,55247 / 106Normal (No Tools) | 1,58940 / 106Normal (No Tools) | -37.10 |
Specs
| Field | DeepSeek-V4-Pro | GLM 5.1 |
|---|---|---|
| Publisher | DeepSeek-AI | 智谱AI |
| Release date | 2026-08-13 | 2026-03-27 |
| Model type | Reasoning model | Reasoning model |
| Architecture | MoE | MoE |
| Parameters | 1.6T | 754B |
| Context length | 1M | 200K |
| Max output | 384K | 125K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | DeepSeek-V4-Pro | GLM 5.1 |
|---|---|---|
| Text input | $0.435 / 1M tokens | $1.4 / 1M tokens |
| Text output | $0.87 / 1M tokens | $4.4 / 1M tokens |
| Cache read | $0.003625 / 1M tokens | $4.4 / 1M tokens |
| Cache write | Not public | $0.26 / 1M tokens |
Summary
- DeepSeek-V4-Proleads in:Claw-style Agent Evaluation (1/1), Text Embedding (1/1)
- GLM 5.1leads in:Commonsense Reasoning (1/1), General Evaluation (1/1), Instruction Following (1/1), Long Context (1/1), Writing and Creative Capabilities (1/1)
- Tied in:Agent Level Benchmark, General Knowledge
On average across the 11 shared benchmarks, GLM 5.1 scores 7.27 higher.
Largest single-benchmark gap: Creative Writing — DeepSeek-V4-Pro 1,552 vs GLM 5.1 1,589 (-37.10).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.