Models

qwen3.8-max-preview vs step-3.5-flash

Output tokens cost $1.01 per million on qwen3.8-max-preview and $0.33 per million on step-3.5-flash. Input tokens cost $0.34 per million on qwen3.8-max-preview and $0.11 per million on step-3.5-flash. Cached input tokens are billed at $0.03 per million on qwen3.8-max-preview and $0.11 per million on step-3.5-flash. Context lengths are 983,616 tokens on qwen3.8-max-preview and 256,000 tokens on step-3.5-flash. On the LMArena coding leaderboard qwen3.8-max-preview scores 1528 and step-3.5-flash scores 1451.

Qwenqwen3.8-max-previewStepFunstep-3.5-flash
Qwen logo
qwen3.8-max-preview
Qwen · text, image → text

Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.

Input$0.34 /M
Output$1.01 /M
StepFun logo
step-3.5-flash
StepFun · text, image → 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-preview
step-3.5-flash
Input /M
$0.34
$0.11
Output /M
$1.01
$0.33
Cache read /M
$0.03
$0.11
Context length
983,616
256,000
Max output
131,072
0
Time to First Token
2.4 s
-
Throughput
48.1 tok/s
-
Modalities
textimage
textimage
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
API Formats

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-max-previewstep-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-max-previewstep-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-max-previewstep-3.5-flash
1320140014801560
Overall
13951490
Coding
14511528
Math
14061513
Hard prompts
14141516
Instruction following
13861484
Multi-turn
13971506
Creative writing
13451483
Longer query
14051509
Chinese
14371557
English
14101493

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-preview
$35.49 /mo

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

FAQ

Which is cheaper: qwen3.8-max-preview, step-3.5-flash?

step-3.5-flash: $0.33/M output tokens; qwen3.8-max-preview: $1.01/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

qwen3.8-max-preview: 1528; step-3.5-flash: 1451 (LMArena coding leaderboard).

How large is each context window?

qwen3.8-max-preview accepts 983,616 and step-3.5-flash accepts 256,000 input tokens.

What inputs and capabilities does each model support?

qwen3.8-max-preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking; step-3.5-flash accepts text and image input.

Can I call qwen3.8-max-preview 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.

Popular comparisons

Related model match-ups readers also look at.