O3 Mini
OpenAI · text, image → text
OpenAI's latest fast inference model excels at STEAM tasks and offers exceptional cost-effectiveness. Official support for cache hits reduces input prices by half.
Input$1.1 /M
Output$4.4 /M
Cache read$0.55 /M
← ModelsO3 Mini
Qwen3.8 Max Preview
O3 Mini vs Qwen3.8 Max Preview
Compare O3 Mini from OpenAI and Qwen3.8 Max Preview from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
O3 MiniQwen3.8 Max Preview+ Add model · 2/4
Qwen3.8 Max Preview
Qwen · text, image → text
Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.
Input$0.338 /M
Output$1.014 /M
Cache read$0.0338 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
O3 Mini
Qwen3.8 Max Preview
Input /M
$1.1
$0.338
Output /M
$4.4
$1.014
Cache read /M
$0.55
$0.0338
Context length
200,000
983,616
Max output
100,000
131,072
Time to First Token
6.6 s
2.4 s
Throughput
474.2 tok/s
48.1 tok/s
Modalities
textimage
textimage
Supported Parameters
thinking
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
-
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
o3-miniqwen3.8-max-preview
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
o3-miniqwen3.8-max-preview
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
o3-miniqwen3.8-max-preview
1280136014401520
Overall
13481480
Coding
14161520
Math
13821497
Hard prompts
13701502
Instruction following
13431477
Multi-turn
13401493
Creative writing
13011466
Longer query
13581492
Chinese
13611536
English
13631488
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Qwen3.8 Max Preview
$35.49 /mo
O3 Mini
$132 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: O3 Mini, Qwen3.8 Max Preview?
Qwen3.8 Max Preview: $1.014/M output tokens; O3 Mini: $4.4/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Qwen3.8 Max Preview: 1520; O3 Mini: 1416 (LMArena coding leaderboard).
Which responds faster?
Qwen3.8 Max Preview: 2.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
O3 Mini accepts 200,000 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 100,000 tokens on O3 Mini and 131,072 tokens on Qwen3.8 Max Preview.
Which one generates tokens faster?
O3 Mini at 474.2 tok/s and Qwen3.8 Max Preview at 48.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
O3 Mini accepts text and image input and supports thinking; Qwen3.8 Max Preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call O3 Mini and Qwen3.8 Max Preview with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
Popular comparisons
Related model match-ups readers also look at.
AIHubMix