Gemma 4 26B A4BvsGLM-4.7-Flash
Across 3 shared benchmarks, Gemma 4 26B A4B leads overall: Gemma 4 26B A4B wins 2, GLM-4.7-Flash wins 1, with 0 ties and an average score difference of -0.47.
Gemma 4 26B A4B
DeepMind · 2026-04-02 · Chat model
GLM-4.7-Flash
智谱AI · 2026-01-19 · Reasoning model
Gemma 4 26B A4B2 wins(67%)(33%)1 winGLM-4.7-Flash
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
Agent Level Benchmark
GLM-4.7-Flash 1/1| Benchmark | Gemma 4 26B A4B | GLM-4.7-Flash | Diff |
|---|---|---|---|
| τ²-Bench | 68.2026 / 43Thinking (With Tools) | 79.5016 / 43 | -11.30 |
General Evaluation
Gemma 4 26B A4B 1/1| Benchmark | Gemma 4 26B A4B | GLM-4.7-Flash | Diff |
|---|---|---|---|
| GPQA Diamond | 82.30108 / 226Thinking (No Tools) | 75.20137 / 226 | +7.10 |
General Knowledge
Gemma 4 26B A4B 1/1| Benchmark | Gemma 4 26B A4B | GLM-4.7-Flash | Diff |
|---|---|---|---|
| HLE | 17.20140 / 181Thinking (With Tools + Internet) | 14.40145 / 181 | +2.80 |
Specs
| Field | Gemma 4 26B A4B | GLM-4.7-Flash |
|---|---|---|
| Publisher | DeepMind | 智谱AI |
| Release date | 2026-04-02 | 2026-01-19 |
| Model type | Chat model | Reasoning model |
| Architecture | MoE | MoE |
| Parameters | 25.2B | 31B |
| Context length | 256K | 200K |
| Max output | 32K | 128K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Gemma 4 26B A4B | GLM-4.7-Flash |
|---|---|---|
| Text input | Not public | ¥0 / 1M tokens |
| Text output | Not public | ¥0 / 1M tokens |
One or both models have incomplete public pricing.
Summary
- Gemma 4 26B A4Bleads in:General Evaluation (1/1), General Knowledge (1/1)
- GLM-4.7-Flashleads in:Agent Level Benchmark (1/1)
On average across the 3 shared benchmarks, GLM-4.7-Flash scores 0.47 higher.
Largest single-benchmark gap: τ²-Bench — Gemma 4 26B A4B 68.20 vs GLM-4.7-Flash 79.50 (-11.30).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.