Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | — | >1T |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 128k | 256k |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | Feb 12 2026 | Sep 24 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
GPT-5.3-Codex-SparkvsClaude Haiku 5.5Qwen3-MaxvsClaude Haiku 5.5GPT-5.3-Codex-SparkvsGemini 4 CarbonQwen3-MaxvsGemini 4 CarbonGPT-5.3-Codex-SparkvsMuse Spark OpenQwen3-MaxvsMuse Spark OpenGPT-5.3-Codex-SparkvsGrok 4.7Qwen3-MaxvsGrok 4.7GPT-5.3-Codex-SparkvsDeepSeek-V4.1-Flash-1017Qwen3-MaxvsDeepSeek-V4.1-Flash-1017GPT-5.3-Codex-SparkvsMistral Large 4Qwen3-MaxvsMistral Large 4Frequently asked questions
GPT-5.3-Codex-Spark and Qwen3-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen3-Max shipped 141 days before GPT-5.3-Codex-Spark, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (GPT-5.3-Codex-Spark) vs 256k (Qwen3-Max).
Direct benchmark comparisons are unavailable — GPT-5.3-Codex-Spark and Qwen3-Max don't publish scores on any of the same benchmarks.