GPT-4o mini vs Qwen3.8 Flash
Qwen3.8 Flash leads the LLM Stats Score 49.6 to 3.9. Qwen3.8 Flash is 1.1x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 3.9, ranking #16 overall.
In the 1 individual benchmarks reported for both models, Qwen3.8 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8 Flash is roughly 1.1x 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-4o mini
- you want predictable pricing at $0.15/M input and $0.60/M output
Choose Qwen3.8 Flash
- overall performance matters — it scores 49.6 and ranks #16 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.1x 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
9 reported for GPT-4o mini · 22 for Qwen3.8 Flash
GPT-4o mini outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 1 benchmark (GPQA).
Qwen3.8 Flash 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-4o mini ($0.15/1M tokens) costs the same as Qwen3.8 Flash ($0.15/1M tokens).
For output processing, GPT-4o mini ($0.60/1M tokens) is 1.3x more expensive than Qwen3.8 Flash ($0.47/1M tokens).
In conclusion, GPT-4o mini 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-4o mini's 128,000 tokens. Qwen3.8 Flash can generate longer responses up to 131,072 tokens, while GPT-4o mini is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4o mini and Qwen3.8 Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o mini
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-4o mini was released on 2024-07-18, while Qwen3.8 Flash was released on 2026-08-26.
Qwen3.8 Flash is 26 months newer than GPT-4o mini.
Jul 18, 2024
2.1 years ago
Aug 26, 2026
4 days ago
2.1yr newerKnowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Qwen3.8 Flash's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen3.8 Flash's cutoff date.
Oct 2023
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Provider Availability
GPT-4o mini is available from Azure. Qwen3.8 Flash is available from Novita.
GPT-4o mini
Qwen3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o mini and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o mini vs Qwen3.8 Flash.