Model comparison
GLM-4.7-Flash vs Hy4 preview
Hy4 preview is the stronger model overall, scoring 44.6 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 8.6× less per token, which makes it the better buy when Hy4 preview's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Hy4 preview leads 54.5 to 34.4.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.83 / $2.50 for Hy4 preview.
- Hy4 preview accepts more context: 1.05M tokens versus 200K.
Side by side
| GLM-4.7-Flash | Hy4 preview | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Tencent |
| Noometry Index | 38.4 | 44.6 |
| Released | 2026-01-19 | 2026-08-28 |
| Weights | Open | Open |
| Context window | 200K | 1.05M |
| Max output | 131K | 64K |
| Input $ / M tokens | $0.06 | $0.83 |
| Output $ / M tokens | $0.40 | $2.50 |
| Results tracked | 21 | 3 |
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Category by category
Coding Hy4 preview leads
GLM-4.7-Flash: 40.0 (#133), Hy4 preview: 51.4 (#36)
| Benchmark | GLM-4.7-Flash | Hy4 preview |
|---|---|---|
| LMArena WebDev | — | 1633 |
| LMArena Coding | 1383 | — |
Reasoning Hy4 preview leads
GLM-4.7-Flash: 20.2 (#224), Hy4 preview: 30.6 (#75)
| Benchmark | GLM-4.7-Flash | Hy4 preview |
|---|---|---|
| NYT Connections (extended) | — | 68.2% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1356 | — |
Math Hy4 preview leads
GLM-4.7-Flash: 34.4 (#159), Hy4 preview: 54.5 (#37)
| Benchmark | GLM-4.7-Flash | Hy4 preview |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| ProofBench | — | 75% |
| LMArena Math | 1354 | — |
Knowledge Not comparable
GLM-4.7-Flash: 35.4 (#177), Hy4 preview: —
| Benchmark | GLM-4.7-Flash | Hy4 preview |
|---|---|---|
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |
Multilingual Not comparable
GLM-4.7-Flash: 46.8 (#152), Hy4 preview: —
| Benchmark | GLM-4.7-Flash | Hy4 preview |
|---|---|---|
| LMArena Non-English | 1331 | — |
| LMArena Chinese | 1403 | — |
| LMArena French | 1332 | — |
| LMArena German | 1336 | — |
| LMArena Korean | 1284 | — |
| LMArena Russian | 1333 | — |
| LMArena Spanish | 1351 | — |
Instruction Following Not comparable
GLM-4.7-Flash: 70.3 (#162), Hy4 preview: —
| Benchmark | GLM-4.7-Flash | Hy4 preview |
|---|---|---|
| LMArena Instruction Following | 1327 | — |
Long Context Not comparable
GLM-4.7-Flash: 40.9 (#143), Hy4 preview: —
| Benchmark | GLM-4.7-Flash | Hy4 preview |
|---|---|---|
| LMArena Longer Query | 1345 | — |
Writing & Preference Not comparable
GLM-4.7-Flash: 47.7 (#206), Hy4 preview: —
| Benchmark | GLM-4.7-Flash | Hy4 preview |
|---|---|---|
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1297 | — |
| EQ-Bench Creative Writing | 1125 | — |
| LMArena Multi-Turn | 1342 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Hy4 preview?
Hy4 preview is the stronger model overall, scoring 44.6 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 8.6× less per token, which makes it the better buy when Hy4 preview's lead doesn't matter for your workload.
Which is cheaper, GLM-4.7-Flash or Hy4 preview?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Hy4 preview lists at $0.83 and $2.50.
Is GLM-4.7-Flash or Hy4 preview better for coding?
Hy4 preview scores higher on coding benchmarks: 51.4 versus 40.0 in the Noometry coding category.
Which has the bigger context window?
Hy4 preview does, with 1.05M tokens against 200K.
How many benchmarks do GLM-4.7-Flash and Hy4 preview share?
0 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Hy4 preview has 3.