o1-mini vs Qwen3.8 Flash
Qwen3.8 Flash leads the LLM Stats Score 49.6 to 10.2. Qwen3.8 Flash is 22.8x 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 10.2, 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 22.8x 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 o1-mini
- you want predictable pricing at $3.00/M input and $12.00/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 22.8x 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
6 reported for o1-mini · 22 for Qwen3.8 Flash
o1-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, o1-mini ($3.00/1M tokens) is 20.0x more expensive than Qwen3.8 Flash ($0.15/1M tokens).
For output processing, o1-mini ($12.00/1M tokens) is 25.5x more expensive than Qwen3.8 Flash ($0.47/1M tokens).
In conclusion, o1-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 o1-mini's 128,000 tokens. Qwen3.8 Flash can generate longer responses up to 131,072 tokens, while o1-mini is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.8 Flash supports multimodal inputs, whereas o1-mini does not.
Qwen3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
o1-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
o1-mini was released on 2024-09-12, while Qwen3.8 Flash was released on 2026-08-26.
Qwen3.8 Flash is 24 months newer than o1-mini.
Sep 12, 2024
2.0 years ago
Aug 26, 2026
5 days ago
2.0yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
o1-mini is available from OpenAI, Azure. Qwen3.8 Flash is available from Novita.
o1-mini
Qwen3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against o1-mini and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about o1-mini vs Qwen3.8 Flash.