GPT-5.2 Codex vs Qwen3.6 Plus
GPT-5.2 Codex and Qwen3.6 Plus are closely matched at 34.6 and 39.7 on the LLM Stats Score. Qwen3.6 Plus is 4.3x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-5.2 Codex and Qwen3.6 Plus are closely matched on the overall LLM Stats Score at 34.6 and 39.7.
In the 3 individual benchmarks reported for both models, GPT-5.2 Codex wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.6 Plus is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.6 Plus also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-5.2 Codex
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
Choose Qwen3.6 Plus
- cost matters — it's about 4.3x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Mar 2026
At a glance
The differences that matter most.
Individual benchmarks
3 reported for GPT-5.2 Codex · 65 for Qwen3.6 Plus
GPT-5.2 Codex outperforms in 2 benchmarks (LiveBench, Terminal-Bench 2.0), while Qwen3.6 Plus is better at 1 benchmark (SWE-Bench Pro).
GPT-5.2 Codex shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.2 Codex ($1.75/1M tokens) is 3.5x more expensive than Qwen3.6 Plus ($0.50/1M tokens).
For output processing, GPT-5.2 Codex ($14.00/1M tokens) is 4.7x more expensive than Qwen3.6 Plus ($3.00/1M tokens).
In conclusion, GPT-5.2 Codex is more expensive than Qwen3.6 Plus.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.6 Plus accepts 1,000,000 input tokens compared to GPT-5.2 Codex's 400,000 tokens. GPT-5.2 Codex can generate longer responses up to 128,000 tokens, while Qwen3.6 Plus is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.2 Codex and Qwen3.6 Plus support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2 Codex
Qwen3.6 Plus
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-5.2 Codex was released on 2026-01-14, while Qwen3.6 Plus was released on 2026-03-31.
Qwen3.6 Plus is 3 months newer than GPT-5.2 Codex.
Jan 14, 2026
7 months ago
Mar 31, 2026
5 months ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.2 Codex is available from OpenAI. Qwen3.6 Plus is available from Novita, Together.
GPT-5.2 Codex
Qwen3.6 Plus
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.2 Codex and Qwen3.6 Plus side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.2 Codex vs Qwen3.6 Plus.