GPT-5.1-Codex Mini
OpenAI · text, image → text
GPT-5.1 Codex mini is a smaller, more cost-effective, less-capable version of GPT-5.1-Codex.
Input$0.25 /M
Output$2 /M
Cache read$0.025 /M
← ModelsGPT-5.1-Codex Mini
Qwen3.8 Max
GPT-5.1-Codex Mini vs Qwen3.8 Max
Compare GPT-5.1-Codex Mini from OpenAI and Qwen3.8 Max 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.
GPT-5.1-Codex MiniQwen3.8 Max+ Add model · 2/4
Qwen3.8 Max
Qwen · text, image, video → text
Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.
Input$1.69 /M
Output$5.07 /M
Cache read$0.169 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
GPT-5.1-Codex Mini
Qwen3.8 Max
Input /M
$0.25
$1.69
Output /M
$2
$5.07
Cache read /M
$0.025
$0.169
Context length
400,000
1,000,000
Max output
128,000
131,072
Time to First Token
0.7 s
12.5 s
Throughput
172.6 tok/s
28.4 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
thinkingfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
November 13, 2025
August 3, 2026
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.
gpt-5.1-codex-miniqwen3.8-max
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
gpt-5.1-codex-miniqwen3.8-max
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
WebDev Arena
gpt-5.1-codex-miniqwen3.8-max
12201340146015801700
Overall
12401672
HTML
12481248
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.
GPT-5.1-Codex Mini
$45.00 /mo
Qwen3.8 Max
$177 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GPT-5.1-Codex Mini, Qwen3.8 Max?
GPT-5.1-Codex Mini: $2/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
GPT-5.1-Codex Mini: 0.7s 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?
GPT-5.1-Codex Mini accepts 400,000 and Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on GPT-5.1-Codex Mini and 131,072 tokens on Qwen3.8 Max.
Which one generates tokens faster?
GPT-5.1-Codex Mini at 172.6 tok/s and Qwen3.8 Max at 28.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
GPT-5.1-Codex Mini accepts text and image input and supports thinking, function calling and structured outputs; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call GPT-5.1-Codex Mini and Qwen3.8 Max 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.
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