Model comparison
GLM-4.7-Flash vs GPT-5.4 Pro
GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 466× less per token, which makes it the better buy when GPT-5.4 Pro's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and GPT-5.4 Pro in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.4 Pro leads 70.7 to 20.9.
- The biggest single-benchmark swing is Chess Puzzles: 0% for GLM-4.7-Flash and 58.6% for GPT-5.4 Pro.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $30 / $180 for GPT-5.4 Pro.
- GPT-5.4 Pro accepts more context: 1.05M tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7-Flash | GPT-5.4 Pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 38.8 | 58.9 |
| Released | 2026-01-19 | 2026-03-05 |
| Weights | Open | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 131K | 128K |
| Input $ / M tokens | $0.06 | $30 |
| Output $ / M tokens | $0.40 | $180 |
| Results tracked | 21 | 16 |
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Category by category
Coding GPT-5.4 Pro leads
GLM-4.7-Flash: 40.6 (#135), GPT-5.4 Pro: 43.2 (#90)
| Benchmark | GLM-4.7-Flash | GPT-5.4 Pro |
|---|---|---|
| WeirdML | — | 57.4% |
| LMArena Coding | 1383 | — |
Reasoning GPT-5.4 Pro leads
GLM-4.7-Flash: 20.9 (#229), GPT-5.4 Pro: 70.7 (#13)
| Benchmark | GLM-4.7-Flash | GPT-5.4 Pro |
|---|---|---|
| Chess Puzzles | 0% | 58.6% |
| ARC-AGI-2 | — | 83.3% |
| SimpleBench | — | 74.1% |
| ARC-AGI-1 | — | 94.5% |
| CritPt | — | 30% |
| EnigmaEval | — | 23.8% |
| LMArena Hard Prompts | 1356 | — |
| Epoch Capabilities Index | — | 158.93 |
Math GPT-5.4 Pro leads
GLM-4.7-Flash: 36.1 (#173), GPT-5.4 Pro: 72.4 (#22)
| Benchmark | GLM-4.7-Flash | GPT-5.4 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 82.5% |
| FrontierMath Tier 4 | — | 58.5% |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| LMArena Math | 1355 | — |
| FrontierMath (Feb 2025 set) | — | 50% |
| FrontierMath Tier 4 (v1) | — | 37.5% |
Knowledge GPT-5.4 Pro leads
GLM-4.7-Flash: 35.5 (#184), GPT-5.4 Pro: 68.3 (#7)
| Benchmark | GLM-4.7-Flash | GPT-5.4 Pro |
|---|---|---|
| GPQA Diamond | 60.5% | 94.6% |
| Vectara Hallucination Rate | 9.3% | 8.3% |
| Humanity's Last Exam | — | 44.3% |
| SimpleQA Verified | — | 46.3% |
| LMArena Expert | 1357 | — |
Multilingual Not comparable
GLM-4.7-Flash: 46.5 (#158), GPT-5.4 Pro: —
| Benchmark | GLM-4.7-Flash | GPT-5.4 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-5.4 Pro: —
| Benchmark | GLM-4.7-Flash | GPT-5.4 Pro |
|---|---|---|
| LMArena Instruction Following | 1327 | — |
Long Context Not comparable
GLM-4.7-Flash: 40.9 (#148), GPT-5.4 Pro: —
| Benchmark | GLM-4.7-Flash | GPT-5.4 Pro |
|---|---|---|
| LMArena Longer Query | 1345 | — |
Writing & Preference Not comparable
GLM-4.7-Flash: 47.4 (#210), GPT-5.4 Pro: —
| Benchmark | GLM-4.7-Flash | GPT-5.4 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-5.4 Pro?
GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 466× less per token, which makes it the better buy when GPT-5.4 Pro's lead doesn't matter for your workload.
Which is cheaper, GLM-4.7-Flash or GPT-5.4 Pro?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; GPT-5.4 Pro lists at $30 and $180.
Is GLM-4.7-Flash or GPT-5.4 Pro better for coding?
GPT-5.4 Pro scores higher on coding benchmarks: 43.2 versus 40.6 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 Pro does, with 1.05M tokens against 200K.
How many benchmarks do GLM-4.7-Flash and GPT-5.4 Pro share?
3 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GPT-5.4 Pro has 16.