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DeepSeek V3.2 vs Qwen3.8 Max

Compare 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.

DeepSeekDeepSeek V3.2QwenQwen3.8 Max
DeepSeek logo
DeepSeek V3.2
DeepSeek · text → text

DeepSeek-V3.2 is an efficient large language model equipped with DeepSeek Sparse Attention and reinforced reasoning performance, but its core strength lies in powerful agentic capabilities—enabled by large-scale task-synthesis that tightly integrates reasoning with real-world tool use, delivering robust, compliant, and generalizable agent behaviour. Users can toggle deeper reasoning through the reasoning_enabled switch.

Input$0.302 /M
Output$0.453 /M
Cache read$0.0302 /M
Qwen logo
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.

DeepSeek V3.2
Qwen3.8 Max
Input /M
$0.302
$1.69
Output /M
$0.453
$5.07
Cache read /M
$0.0302
$0.169
Context length
163,840
1,000,000
Max output
64,000
131,072
Time to First Token
3.4 s
12.5 s
Throughput
80.1 tok/s
28.4 tok/s
Modalities
text
textimagevideo
Supported Parameters
toolsfunction callingstructured outputsthinking
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
December 1, 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.

deepseek-v3.2qwen3.8-max

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

deepseek-v3.2qwen3.8-max

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
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
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.

DeepSeek V3.2
$24.92 /mo
Qwen3.8 Max
$177 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: DeepSeek V3.2, Qwen3.8 Max?

DeepSeek V3.2: $0.453/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

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.

How large is each context window?

DeepSeek V3.2 accepts 163,840 and Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 64,000 tokens on DeepSeek V3.2 and 131,072 tokens on Qwen3.8 Max.

Which one generates tokens faster?

DeepSeek V3.2 at 80.1 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?

DeepSeek V3.2 accepts text input and supports tool calling, function calling, structured outputs and thinking; 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 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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