Model comparison
GLM-4.6V vs GPT-5 Pro
GPT-5 Pro is the stronger model overall, scoring 46.2 to 40.9 on the Noometry Index. GLM-4.6V costs 92× 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 56.2 to 37.4.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 128K.
- GLM-4.6V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.6V | GPT-5 Pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 40.9 | 46.2 |
| Released | 2025-12-08 | 2025-10-06 |
| Weights | Open | Proprietary |
| Context window | 128K | 400K |
| Max output | 33K | 272K |
| Input $ / M tokens | $0.30 | $15 |
| Output $ / M tokens | $0.90 | $120 |
| Results tracked | 12 | 12 |
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Category by category
Coding GPT-5 Pro leads
GLM-4.6V: 40.2 (#128), GPT-5 Pro: 43.4 (#77)
| Benchmark | GLM-4.6V | GPT-5 Pro |
|---|---|---|
| WeirdML | — | 60.4% |
| LMArena Coding | 1390 | — |
| AlgoTune | — | 1.31 |
Reasoning GPT-5 Pro leads
GLM-4.6V: 26.5 (#117), GPT-5 Pro: 39.2 (#52)
| Benchmark | GLM-4.6V | GPT-5 Pro |
|---|---|---|
| ARC-AGI-2 | — | 18.3% |
| SimpleBench | — | 61.6% |
| Kagi LLM Benchmark | — | 76.8% |
| ARC-AGI-1 | — | 70.2% |
| EnigmaEval | — | 18.8% |
| LMArena Hard Prompts | 1368 | — |
| Epoch Capabilities Index | — | 150.26 |
Math Not comparable
GLM-4.6V: —, GPT-5 Pro: 48.0 (#53)
| Benchmark | GLM-4.6V | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 19.5% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge GPT-5 Pro leads
GLM-4.6V: 37.4 (#148), GPT-5 Pro: 56.2 (#39)
| Benchmark | GLM-4.6V | GPT-5 Pro |
|---|---|---|
| Humanity's Last Exam | — | 31.6% |
| LMArena Expert | 1372 | — |
Multimodal Not comparable
GLM-4.6V: 34.2 (#83), GPT-5 Pro: —
| Benchmark | GLM-4.6V | GPT-5 Pro |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual Not comparable
GLM-4.6V: 48.8 (#135), GPT-5 Pro: —
| Benchmark | GLM-4.6V | GPT-5 Pro |
|---|---|---|
| LMArena Non-English | 1359 | — |
| LMArena Chinese | 1426 | — |
| LMArena Russian | 1341 | — |
Instruction Following Not comparable
GLM-4.6V: 71.6 (#145), GPT-5 Pro: —
| Benchmark | GLM-4.6V | GPT-5 Pro |
|---|---|---|
| LMArena Instruction Following | 1351 | — |
Long Context Not comparable
GLM-4.6V: 41.3 (#138), GPT-5 Pro: —
| Benchmark | GLM-4.6V | GPT-5 Pro |
|---|---|---|
| LMArena Longer Query | 1358 | — |
Writing & Preference Not comparable
GLM-4.6V: 56.8 (#132), GPT-5 Pro: —
| Benchmark | GLM-4.6V | GPT-5 Pro |
|---|---|---|
| LMArena Text | 1377 | — |
| LMArena Creative Writing | 1347 | — |
| LMArena Multi-Turn | 1359 | — |
Frequently asked questions
Is GLM-4.6V better than GPT-5 Pro?
GPT-5 Pro is the stronger model overall, scoring 46.2 to 40.9 on the Noometry Index. GLM-4.6V costs 92× 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-4.6V or GPT-5 Pro?
GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GLM-4.6V or GPT-5 Pro better for coding?
GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 40.2 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 128K.
How many benchmarks do GLM-4.6V and GPT-5 Pro share?
0 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and GPT-5 Pro has 12.