Gemma 4 31BvsGLM-5
Across 10 shared benchmarks, GLM-5 leads overall: Gemma 4 31B wins 3, GLM-5 wins 7, with 0 ties and an average score difference of -4.99.
Gemma 4 31B
DeepMind · 2026-04-02 · Chat model
GLM-5
智谱AI · 2026-02-11 · Chat model
Gemma 4 31B3 wins(30%)(70%)7 winsGLM-5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 10 shared benchmarks.
Agent Level Benchmark
GLM-5 3/3| Benchmark | Gemma 4 31B | GLM-5 | Diff |
|---|---|---|---|
| τ²-Bench - Telecom | 65.50149 / 264Normal (With Tools) | 97.4016 / 264Normal (With Tools) | -31.90 |
| τ²-Bench | 76.9020 / 44Thinking (With Tools) | 89.704 / 44Thinking (With Tools) | -12.80 |
| Terminal Bench Hard | 30.30110 / 244Normal (With Tools) | 39.4053 / 244Normal (With Tools) | -9.10 |
General Knowledge
GLM-5 2/3| Benchmark | Gemma 4 31B | GLM-5 | Diff |
|---|---|---|---|
| LiveBench | 61.6264 / 117Normal (No Tools) | 68.8543 / 117Normal (No Tools) | -7.23 |
| HLE | 11.80369 / 563Normal (No Tools) · Text only | 7.60427 / 563Normal (No Tools) · Text only | +4.20 |
| CritPt | 1.40135 / 200Thinking (No Tools) | 2127 / 200Thinking (No Tools) | -0.60 |
General Evaluation
Gemma 4 31B 1/1| Benchmark | Gemma 4 31B | GLM-5 | Diff |
|---|---|---|---|
| GPQA Diamond | 76.30270 / 462Normal (No Tools) | 66.60349 / 462Normal (No Tools) | +9.70 |
Instruction Following
GLM-5 1/1| Benchmark | Gemma 4 31B | GLM-5 | Diff |
|---|---|---|---|
| IF Bench | 53.50144 / 282Normal (No Tools) | 55.20132 / 282Normal (No Tools) | -1.70 |
Long Context
Gemma 4 31B 1/1| Benchmark | Gemma 4 31B | GLM-5 | Diff |
|---|---|---|---|
| AA-LCR | 46.70141 / 170Normal (No Tools) | 43.70151 / 170Normal (No Tools) | +3 |
Math and Reasoning
GLM-5 1/1| Benchmark | Gemma 4 31B | GLM-5 | Diff |
|---|---|---|---|
| AIME 2026 | 89.2025 / 29Thinking (No Tools) | 92.7018 / 29Thinking (No Tools) | -3.50 |
Specs
| Field | Gemma 4 31B | GLM-5 |
|---|---|---|
| Publisher | DeepMind | 智谱AI |
| Release date | 2026-04-02 | 2026-02-11 |
| Model type | Chat model | Chat model |
| Architecture | Dense | MoE |
| Parameters | 30.7B | 744B |
| Context length | 256K | 200K |
| Max output | 32K | 128K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Gemma 4 31B | GLM-5 |
|---|---|---|
| Text input | Not public | $1 / 1M tokens |
| Text output | Not public | $3.2 / 1M tokens |
| Cache write | Not public | $0.2 / 1M tokens |
One or both models have incomplete public pricing.
Summary
- Gemma 4 31Bleads in:General Evaluation (1/1), Long Context (1/1)
- GLM-5leads in:Agent Level Benchmark (3/3), General Knowledge (2/3), Instruction Following (1/1), Math and Reasoning (1/1)
On average across the 10 shared benchmarks, GLM-5 scores 4.99 higher.
Largest single-benchmark gap: τ²-Bench - Telecom — Gemma 4 31B 65.50 vs GLM-5 97.40 (-31.90).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.