GPT-5.3 Codex vs GLM 5.3
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | GPT-5.3-Codex | GLM-5.3 |
|---|---|---|
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #28 of 36$0.248 per LiveBench case |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | GPT-5.3-Codex | GLM-5.3 |
|---|---|---|
| Developer | OpenAI | Z.ai |
| Family | Gpt 5 3 | Glm 5 3 |
| Model | GPT-5.3-Codex | GLM-5.3 |
| Version | GPT-5.3-Codex | GLM-5.3 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | 2025-08-31 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 400K | 1,000K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Openai (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, reasoning, structured_outputs, tools |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
GPT-5.3 Codex Capabilities
GLM 5.3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
GPT-5.3-CodexOpenAI | vs | GPT-6 AstraOpenAI | family variantsimage, text |
Claude Fable 5.1Anthropic | vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | GPT-5.3-CodexOpenAI | cross-developer peerstext |
 DeepSeek-V4-ProDeepSeek | vs | GPT-5.3-CodexOpenAI | cross-developer peerstext |
GPT-5.3-CodexOpenAI | vs | Grok 4.6xAI | cross-developer peersimage, text |
GPT-5.3-CodexOpenAI | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
 Kimi-K3Moonshot AI | vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
GPT-5.3-CodexOpenAI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
 Mistral Large 3Mistral AI | vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
| vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
GPT-5.3 Codex vs GLM 5.3 FAQs
Is GPT-5.3 Codex or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.3 Codex and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.3 Codex or GLM 5.3?+
GPT-5.3 Codex is $1.75 and GLM 5.3 is $1.20 per million tokens, so GLM 5.3 is cheaper on this metric. GPT-5.3 Codex is $14.00 and GLM 5.3 is $4.00 per million tokens, so GLM 5.3 is cheaper on this metric.
Which has a larger context window, GPT-5.3 Codex or GLM 5.3?+
GLM 5.3 has the larger sourced context window. GPT-5.3 Codex supports 400K and GLM 5.3 supports 1,000K.
Which performs better in benchmarks, GPT-5.3 Codex or GLM 5.3?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can GPT-5.3 Codex or GLM 5.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.3 Codex is not marked open weight; GLM 5.3 is not marked open weight.
Can GPT-5.3 Codex and GLM 5.3 understand images?+
GPT-5.3 Codex is documented with image input; GLM 5.3 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5.3 Codex or GLM 5.3?+
GLM 5.3 has the larger sourced maximum output: GPT-5.3 Codex supports 128K and GLM 5.3 supports 131K output tokens.
Do GPT-5.3 Codex and GLM 5.3 support reasoning and tool use?+
GPT-5.3 Codex: reasoning, tool calling, and image input. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5.3 Codex or GLM 5.3?+
GPT-5.3 Codex has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, GPT-5.3 Codex or GLM 5.3?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.