Model comparison
GLM-4.7-Flash vs o1-pro
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where GLM-4.7-Flash leads 35.5 to 29.7.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $150 / $600 for o1-pro.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7-Flash | o1-pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 38.8 | 31.5 |
| Released | 2026-01-19 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | 200K | 200K |
| Max output | 131K | 100K |
| Input $ / M tokens | $0.06 | $150 |
| Output $ / M tokens | $0.40 | $600 |
| Results tracked | 21 | 3 |
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Category by category
Coding Not comparable
GLM-4.7-Flash: 40.6 (#135), o1-pro: —
| Benchmark | GLM-4.7-Flash | o1-pro |
|---|---|---|
| LMArena Coding | 1383 | — |
Reasoning Too close to call
GLM-4.7-Flash: 20.9 (#229), o1-pro: 20.4 (#239)
| Benchmark | GLM-4.7-Flash | o1-pro |
|---|---|---|
| ARC-AGI-1 | — | 23.3% |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1356 | — |
Math Not comparable
GLM-4.7-Flash: 36.1 (#173), o1-pro: —
| Benchmark | GLM-4.7-Flash | o1-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| LMArena Math | 1355 | — |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.5 (#184), o1-pro: 29.7 (#234)
| Benchmark | GLM-4.7-Flash | o1-pro |
|---|---|---|
| GPQA Diamond | 60.5% | — |
| Humanity's Last Exam | — | 8.1% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |
Multilingual Not comparable
GLM-4.7-Flash: 46.5 (#158), o1-pro: —
| Benchmark | GLM-4.7-Flash | o1-pro |
|---|---|---|
| LMArena Non-English | 1330 | — |
| LMArena Chinese | 1403 | — |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Russian | 1332 | — |
| LMArena Spanish | 1350 | — |
Instruction Following Not comparable
GLM-4.7-Flash: 70.1 (#167), o1-pro: —
| Benchmark | GLM-4.7-Flash | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1327 | — |
Long Context Not comparable
GLM-4.7-Flash: 40.9 (#148), o1-pro: —
| Benchmark | GLM-4.7-Flash | o1-pro |
|---|---|---|
| LMArena Longer Query | 1345 | — |
Writing & Preference Not comparable
GLM-4.7-Flash: 47.4 (#210), o1-pro: —
| Benchmark | GLM-4.7-Flash | o1-pro |
|---|---|---|
| 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 o1-pro?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.5 on the Noometry Index.
Which is cheaper, GLM-4.7-Flash or o1-pro?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
Both accept 200K tokens.
How many benchmarks do GLM-4.7-Flash and o1-pro share?
0 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and o1-pro has 3.