Model comparison
GLM-4.5V vs GPT-5.3 Codex
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 39.8 on the Noometry Index. GLM-4.5V costs 5.3× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 39.5.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | GPT-5.3 Codex | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 39.8 | 45.8 |
| Released | 2025-08-11 | 2026-02-05 |
| Weights | Open | Proprietary |
| Context window | 64K | 400K |
| Max output | 16K | 128K |
| Input $ / M tokens | $0.60 | $1.75 |
| Output $ / M tokens | $1.80 | $14 |
| Results tracked | 15 | 8 |
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Category by category
Coding GPT-5.3 Codex leads
GLM-4.5V: 39.5 (#155), GPT-5.3 Codex: 48.6 (#56)
| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| SWE-bench Verified | — | 74.8% |
| LMArena WebDev | — | 1409 |
| WeirdML | — | 79.3% |
| LMArena Coding | 1347 | — |
| ALE-Bench | — | 1,655 |
Agentic & Tool Use Not comparable
GLM-4.5V: —, GPT-5.3 Codex: 48.0 (#9)
| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | — | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |
Reasoning Not comparable
GLM-4.5V: 27.4 (#119), GPT-5.3 Codex: —
| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | — |
| LMArena Hard Prompts | 1334 | — |
| Epoch Capabilities Index | — | 156.77 |
Math Not comparable
GLM-4.5V: 37.4 (#159), GPT-5.3 Codex: —
| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Math | 1354 | — |
Knowledge Not comparable
GLM-4.5V: 37.5 (#156), GPT-5.3 Codex: —
| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Expert | 1353 | — |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), GPT-5.3 Codex: —
| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Not comparable
GLM-4.5V: 44.6 (#177), GPT-5.3 Codex: —
| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Non-English | 1303 | — |
| LMArena Chinese | 1337 | — |
| LMArena Russian | 1298 | — |
| LMArena Spanish | 1336 | — |
Instruction Following Not comparable
GLM-4.5V: 69.2 (#175), GPT-5.3 Codex: —
| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Instruction Following | 1311 | — |
Long Context Not comparable
GLM-4.5V: 39.6 (#171), GPT-5.3 Codex: —
| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1304 | — |
Writing & Preference Not comparable
GLM-4.5V: 52.5 (#170), GPT-5.3 Codex: —
| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| LMArena Multi-Turn | 1332 | — |
Frequently asked questions
Is GLM-4.5V better than GPT-5.3 Codex?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 39.8 on the Noometry Index. GLM-4.5V costs 5.3× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Which is cheaper, GLM-4.5V or GPT-5.3 Codex?
GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.
Is GLM-4.5V or GPT-5.3 Codex better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 39.5 in the Noometry coding category.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 64K.
How many benchmarks do GLM-4.5V and GPT-5.3 Codex share?
0 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and GPT-5.3 Codex has 8.