GPT-5.3-Codex-SparkvsQwen3.5
GPT-5.3-Codex-Spark | Qwen3.5 | |
|---|---|---|
| Specifications | ||
Parameters | — | 397B |
Context window | 128k | 1M |
| Benchmarks | ||
Coding SWE-Bench VerifiedReal coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 76.4% |
Multilingual coding SWE-Bench MultilingualLike SWE-Bench, but the coding problems span many programming languages, not just one. Tests how broadly the AI can code. Higher is better. | — | 69.3% |
Agentic terminal coding Terminal-Bench 2.0Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. | — | 52.5% |
Web browsing BrowseCompCan the AI browse the web and track down hard-to-find answers? Higher is better. | — | 69% |
Multidisciplinary reasoning Humanity's Last Exam · no toolsHumanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better. | — | 28.7% |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 88.4% |
Agentic computer use OSWorld-VerifiedCan the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. | — | 62.2% |
Chart reasoning CharXiv ReasoningCan the AI read and reason about complex charts and figures, not just text? Higher is better. | — | 80.8% |
Multimodal reasoning MMMU-ProA tougher version of MMMU — college-level questions that mix images, diagrams, and text together. Higher is better. | — | 79% |
Multimodal MMMUTests the AI on understanding images and text together across many college subjects. Higher is better. | — | 85% |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | Feb 12 2026 | Feb 16 2026 |
| Access | Proprietary | Open Weight |
Which is better: GPT-5.3-Codex-Spark or Qwen3.5?
GPT-5.3-Codex-Spark and Qwen3.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GPT-5.3-Codex-Spark shipped 4 days before Qwen3.5, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (GPT-5.3-Codex-Spark) vs 1M (Qwen3.5). GPT-5.3-Codex-Spark is proprietary, while Qwen3.5 is open weight.
Direct benchmark comparisons are unavailable — GPT-5.3-Codex-Spark and Qwen3.5 don't publish scores on any of the same benchmarks.
Frequently asked questions
GPT-5.3-Codex-Spark was released by OpenAI on Feb 12 2026.
Qwen3.5 was released by Qwen on Feb 16 2026.
GPT-5.3-Codex-Spark has a 128k context window; Qwen3.5 has 1M.
GPT-5.3-Codex-Spark is a proprietary model released by OpenAI. Qwen3.5 is an open weight model released by Qwen.