GPT-5.2 Pro vs Qwen3.8 Flash
GPT-5.2 Pro and Qwen3.8 Flash are closely matched at 43.0 and 49.1 on the LLM Stats Score. Qwen3.8 Flash is 251.1x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-5.2 Pro and Qwen3.8 Flash are closely matched on the overall LLM Stats Score at 43.0 and 49.1.
In the 2 individual benchmarks reported for both models, GPT-5.2 Pro wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8 Flash is roughly 251.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.8 Flash 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 Pro
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
Choose Qwen3.8 Flash
- cost matters — it's about 251.1x 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 Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for GPT-5.2 Pro · 22 for Qwen3.8 Flash
GPT-5.2 Pro outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3.8 Flash is better at 0 benchmarks.
GPT-5.2 Pro significantly outperforms across most 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 Pro ($21.00/1M tokens) is 140.0x more expensive than Qwen3.8 Flash ($0.15/1M tokens).
For output processing, GPT-5.2 Pro ($168.00/1M tokens) is 357.4x more expensive than Qwen3.8 Flash ($0.47/1M tokens).
In conclusion, GPT-5.2 Pro is more expensive than Qwen3.8 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.8 Flash accepts 1,000,000 input tokens compared to GPT-5.2 Pro's 400,000 tokens. Qwen3.8 Flash can generate longer responses up to 131,072 tokens, while GPT-5.2 Pro is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.2 Pro and Qwen3.8 Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2 Pro
Qwen3.8 Flash
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 Pro was released on 2025-12-11, while Qwen3.8 Flash was released on 2026-08-26.
Qwen3.8 Flash is 9 months newer than GPT-5.2 Pro.
Dec 11, 2025
9 months ago
Aug 26, 2026
3 weeks ago
8mo 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 Pro is available from OpenAI. Qwen3.8 Flash is available from Novita.
GPT-5.2 Pro
Qwen3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.2 Pro and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.2 Pro vs Qwen3.8 Flash.