Model comparison
GLM-4.7-Flash vs GPT-5 Pro
GPT-5 Pro is the stronger model overall, scoring 46.4 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 284× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where GPT-5 Pro leads 56.7 to 35.5.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7-Flash | GPT-5 Pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 38.8 | 46.4 |
| Released | 2026-01-19 | 2025-10-06 |
| Weights | Open | Proprietary |
| Context window | 200K | 400K |
| Max output | 131K | 272K |
| Input $ / M tokens | $0.06 | $15 |
| Output $ / M tokens | $0.40 | $120 |
| Results tracked | 21 | 12 |
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Category by category
Coding GPT-5 Pro leads
GLM-4.7-Flash: 40.6 (#135), GPT-5 Pro: 44.0 (#80)
| Benchmark | GLM-4.7-Flash | GPT-5 Pro |
|---|---|---|
| WeirdML | — | 60.4% |
| LMArena Coding | 1383 | — |
| AlgoTune | — | 1.31 |
Reasoning GPT-5 Pro leads
GLM-4.7-Flash: 20.9 (#229), GPT-5 Pro: 38.9 (#62)
| Benchmark | GLM-4.7-Flash | GPT-5 Pro |
|---|---|---|
| ARC-AGI-2 | — | 18.3% |
| SimpleBench | — | 61.6% |
| Kagi LLM Benchmark | — | 76.8% |
| ARC-AGI-1 | — | 70.2% |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 18.8% |
| LMArena Hard Prompts | 1356 | — |
| Epoch Capabilities Index | — | 150.28 |
Math GPT-5 Pro leads
GLM-4.7-Flash: 36.1 (#173), GPT-5 Pro: 48.5 (#63)
| Benchmark | GLM-4.7-Flash | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 19.5% |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| LMArena Math | 1355 | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge GPT-5 Pro leads
GLM-4.7-Flash: 35.5 (#184), GPT-5 Pro: 56.7 (#42)
| Benchmark | GLM-4.7-Flash | GPT-5 Pro |
|---|---|---|
| GPQA Diamond | 60.5% | — |
| Humanity's Last Exam | — | 31.6% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |
Multilingual Not comparable
GLM-4.7-Flash: 46.5 (#158), GPT-5 Pro: —
| Benchmark | GLM-4.7-Flash | GPT-5 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), GPT-5 Pro: —
| Benchmark | GLM-4.7-Flash | GPT-5 Pro |
|---|---|---|
| LMArena Instruction Following | 1327 | — |
Long Context Not comparable
GLM-4.7-Flash: 40.9 (#148), GPT-5 Pro: —
| Benchmark | GLM-4.7-Flash | GPT-5 Pro |
|---|---|---|
| LMArena Longer Query | 1345 | — |
Writing & Preference Not comparable
GLM-4.7-Flash: 47.4 (#210), GPT-5 Pro: —
| Benchmark | GLM-4.7-Flash | GPT-5 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 GPT-5 Pro?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 284× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, GLM-4.7-Flash or GPT-5 Pro?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GLM-4.7-Flash or GPT-5 Pro better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 40.6 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 200K.
How many benchmarks do GLM-4.7-Flash and GPT-5 Pro share?
0 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GPT-5 Pro has 12.