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Qwen3 VL 30B A3B Thinking vs Step 3.7 Flash

Compare Qwen3 VL 30B A3B Thinking from Qwen and Step 3.7 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 VL 30B A3B ThinkingStepFunStep 3.7 Flash
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Qwen logo
Qwen3 VL 30B A3B Thinking
Qwen · text, image, video → text

The Qwen3-VL series’ second-largest MoE model Thinking version offers fast response speed, stronger multimodal understanding and reasoning, visual agent capabilities, and ultra-long context support for long videos and long documents; it features comprehensive upgrades in image/video understanding, spatial perception, and universal recognition abilities, making it capable of handling complex real-world tasks.

Input$0.1028 /M
Output$1.028 /M
Details
StepFun logo
Step 3.7 Flash
StepFun · text, image, video → text

step-3.7-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$0.22 /M
Output$1.32 /M
Cache read$0.044 /M
Details

Pricing & Specifications

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

Qwen3 VL 30B A3B Thinking
Step 3.7 Flash
Input /M
$0.1028
$0.22
Output /M
$1.028
$1.32
Cache read /M
-
$0.044
Context length
131,072
256,000
Max output
32,768
0
Time to First Token
1.5 s
1.4 s
Throughput
41.8 tok/s
32.6 tok/s
Modalities
textimagevideo
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
API Formats
Released
October 11, 2025
May 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-vl-30b-a3b-thinkingstep-3.7-flash

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

qwen3-vl-30b-a3b-thinkingstep-3.7-flash

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

Estimate your monthly bill for the same workload on each model.

Qwen3 VL 30B A3B Thinking
$21.59 /mo
Step 3.7 Flash
$33.00 /mo

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

FAQ

Which is cheaper: Qwen3 VL 30B A3B Thinking, Step 3.7 Flash?

Qwen3 VL 30B A3B Thinking: $1.028/M output tokens; Step 3.7 Flash: $1.32/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Step 3.7 Flash: 1.4s 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?

Qwen3 VL 30B A3B Thinking accepts 131,072 and Step 3.7 Flash accepts 256,000 input tokens.

Which one generates tokens faster?

Qwen3 VL 30B A3B Thinking at 41.8 tok/s and Step 3.7 Flash at 32.6 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 VL 30B A3B Thinking accepts text, image and video input and supports thinking, tool calling, function calling and structured outputs; Step 3.7 Flash accepts text, image and video input.

Can I call Qwen3 VL 30B A3B Thinking and Step 3.7 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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