Models

DeepSeek V4 Flash vs Qwen3 Max

Compare DeepSeek V4 Flash from DeepSeek and Qwen3 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 V4 FlashQwenQwen3 Max
DeepSeek logo
DeepSeek V4 Flash
DeepSeek · text → text

(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.

Input$0.142 /M
Output$0.284 /M
Cache read$0.0284 /M
Qwen logo
Qwen3 Max
Qwen · text → text

The Tongyi Qianwen 3 series Max model has undergone special upgrades in intelligent agent programming and tool invocation compared to the preview version. The officially released model this time reaches SOTA level in the field and is adapted to more complex intelligent agent scenarios.

Input$0.4508 /M
Output$1.8032 /M
Cache read$0.0902 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

DeepSeek V4 Flash
Qwen3 Max
Input /M
$0.142
$0.4508
Output /M
$0.284
$1.8032
Cache read /M
$0.0284
$0.0902
Context length
1,000,000
262,144
Max output
384,000
65,536
Time to First Token
1.0 s
0.8 s
Throughput
66.5 tok/s
52.0 tok/s
Modalities
text
text
Supported Parameters
toolsfunction callingstructured outputsthinking
toolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
April 24, 2026
September 23, 2025

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-v4-flashqwen3-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-v4-flashqwen3-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-v4-flashqwen3-max
1360140014401480
Overall
14241436
Coding
14751483
Math
14261430
Hard prompts
14481459
Instruction following
14161428
Multi-turn
14501452
Creative writing
13941408
Longer query
14331448
Chinese
14401473
English
14341445

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 V4 Flash
$12.78 /mo
Qwen3 Max
$54.10 /mo

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

FAQ

Which is cheaper: DeepSeek V4 Flash, Qwen3 Max?

DeepSeek V4 Flash: $0.284/M output tokens; Qwen3 Max: $1.8032/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

DeepSeek V4 Flash: 1483; Qwen3 Max: 1475 (LMArena coding leaderboard).

Which responds faster?

Qwen3 Max: 0.8s 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 V4 Flash accepts 1,000,000 and Qwen3 Max accepts 262,144 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 65,536 tokens on Qwen3 Max.

Which one generates tokens faster?

DeepSeek V4 Flash at 66.5 tok/s and Qwen3 Max at 52.0 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 V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; Qwen3 Max accepts text input and supports tool calling, function calling and structured outputs.

Can I call DeepSeek V4 Flash and Qwen3 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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