Azure Deepseek V3.2
DeepSeek · → text
Input$0.58 /M
Output$1.68 /M
← ModelsAzure Deepseek V3.2
Qwen3.8 Max
Azure Deepseek V3.2 vs Qwen3.8 Max
Compare Azure Deepseek V3.2 from DeepSeek 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.
Azure Deepseek V3.2Qwen3.8 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.
Azure Deepseek V3.2
Qwen3.8 Max
Input /M
$0.58
$1.69
Output /M
$1.68
$5.07
Cache read /M
-
$0.169
Context length
0
1,000,000
Max output
0
131,072
Time to First Token
3.4 s
12.5 s
Throughput
77.5 tok/s
28.4 tok/s
Modalities
textimagevideo
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
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.
azure-deepseek-v3.2qwen3.8-max
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
azure-deepseek-v3.2qwen3.8-max
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
azure-deepseek-v3.2qwen3.8-max
1380142014601500
Overall
14251482
Coding
14701470
Math
14291429
Hard prompts
14471447
Instruction following
14211421
Multi-turn
14281428
Creative writing
14011401
Longer query
14421442
Chinese
14631463
English
14371437
WebDev Arena
azure-deepseek-v3.2qwen3.8-max
1280140015201640
Overall
13321672
React
13471347
HTML
13081308
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.
Azure Deepseek V3.2
$60.00 /mo
Qwen3.8 Max
$177 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Azure Deepseek V3.2, Qwen3.8 Max?
Azure Deepseek V3.2: $1.68/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Azure Deepseek V3.2: 3.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Which one generates tokens faster?
Azure Deepseek V3.2 at 77.5 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.
Can I call Azure Deepseek V3.2 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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