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Qwen3.8 Max vs Step 3.5 Flash

Compare Qwen3.8 Max from Qwen and Step 3.5 Flash from StepFun on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

QwenQwen3.8 MaxStepFunStep 3.5 Flash
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
StepFun logo
Step 3.5 Flash
StepFun · text → text

step-3.5-flash is stepfun's flagship inference model, designed for high-complexity tasks that require deep reasoning and fast execution. It excels at decomposing multi-step problems, performing tool calls, and maintaining consistency across massive datasets. It is the preferred choice for complex workloads such as long-context agents, advanced software engineering, and end-to-end research automation.

Input$0.11 /M
Output$0.33 /M

Pricing & Specifications

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

Qwen3.8 Max
Step 3.5 Flash
Input /M
$1.69
$0.11
Output /M
$5.07
$0.33
Cache read /M
$0.169
-
Context length
1,000,000
256,000
Max output
131,072
0
Time to First Token
12.5 s
1.9 s
Throughput
28.4 tok/s
77.3 tok/s
Modalities
textimagevideo
text
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
August 3, 2026
January 29, 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.

qwen3.8-maxstep-3.5-flash

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

qwen3.8-maxstep-3.5-flash

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
qwen3.8-maxstep-3.5-flash
1360140014401480
Overall
13931482

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.

Step 3.5 Flash
$11.55 /mo
Qwen3.8 Max
$177 /mo

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

FAQ

Which is cheaper: Qwen3.8 Max, Step 3.5 Flash?

Step 3.5 Flash: $0.33/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Step 3.5 Flash: 1.9s 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?

Qwen3.8 Max accepts 1,000,000 and Step 3.5 Flash accepts 256,000 input tokens.

Which one generates tokens faster?

Step 3.5 Flash at 77.3 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?

Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking; Step 3.5 Flash accepts text input.

Can I call Qwen3.8 Max and Step 3.5 Flash 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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