DeepSeek V4 Flash 0731 vs Qwen3 VL 30B A3B Instruct
Practical read: DeepSeek V4 Flash 0731 costs about a fifth as much and reads four times more context. Qwen3 VL 30B A3B Instruct starts answering sooner. One API key runs both.
No card required. Start with 1 million free tokens.
Side by side:
| Attribute | DeepSeek V4 Flash 0731 | Qwen3 VL 30B A3B Instruct |
|---|---|---|
| Price, 1M in + out | $0.14 Engy, cheapest route | $0.69 Featherless AI, cheapest route |
| Best for | Low cost and long documents | Speed |
| Input / output, 1M | $0.047 / $0.095 | $0.16 / $0.53 |
| Cached input | $0.01/1M to $0.098608/1M | Not published |
| Context window | 1.05M 1,048,576 tokens | 262K 262,144 tokens |
| First token, p50 | 1.0 s via Mancer | 0.81 s via DeepInfra |
| Provider routes | 24 with failover | 3 with failover |
| Privacy | Confidential E2EE and zero retention route | Zero retention route |
| Recent route uptime range | 0.00% to 100.00% | 100.00% |
| Publisher | DeepSeek | Alibaba Cloud Model Studio |
| Modes | chat | chat |
| More detail |
Price adds one million input and one million output tokens on the cheapest route. Prices and speed change: see the monthly reports and run a small eval before you choose a default.
Test both with your agent
Paste this into Claude Code, Cursor or any coding agent.
Compare DeepSeek V4 Flash 0731 and Qwen3 VL 30B A3B Instruct in this project through TrustedRouter.
1. Read https://trustedrouter.com/docs/llms.txt
2. Point the OpenAI-compatible client at
https://api.trustedrouter.com/v1 and read the key from
TRUSTEDROUTER_API_KEY.
3. Run our eval prompts on deepseek/deepseek-v4-flash-0731, then on qwen/qwen3-vl-30b-a3b-instruct.
4. Show me cost, latency and quality side by side before changing the default.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.trustedrouter.com/v1",
api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
for model in ("deepseek/deepseek-v4-flash-0731", "qwen/qwen3-vl-30b-a3b-instruct"):
response = client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": "What is the capital of France?"}],
)
print(model, response.choices[0].message.content)
for model in deepseek/deepseek-v4-flash-0731 qwen/qwen3-vl-30b-a3b-instruct; do
curl https://api.trustedrouter.com/v1/chat/completions \
-H "Authorization: Bearer $TRUSTEDROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d "{\"model\": \"$model\", \"messages\": [{\"role\": \"user\", \"content\": \"What is the capital of France?\"}]}"
done
Questions
Which should I use, DeepSeek: DeepSeek V4 Flash 0731 or Qwen: Qwen3 VL 30B A3B Instruct?
DeepSeek V4 Flash 0731 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. Qwen: Qwen3 VL 30B A3B Instruct has the lower measured p50 time to first token.
Is DeepSeek: DeepSeek V4 Flash 0731 or Qwen: Qwen3 VL 30B A3B Instruct cheaper?
The current cheapest TrustedRouter route is $0.142425/1M for DeepSeek: DeepSeek V4 Flash 0731 and $0.68575/1M for Qwen: Qwen3 VL 30B A3B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.
Is DeepSeek: DeepSeek V4 Flash 0731 or Qwen: Qwen3 VL 30B A3B Instruct faster?
Current measured p50 time to first token is 1018 ms for DeepSeek: DeepSeek V4 Flash 0731 and 810 ms for Qwen: Qwen3 VL 30B A3B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.
Can I test DeepSeek: DeepSeek V4 Flash 0731 and Qwen: Qwen3 VL 30B A3B Instruct with the same API?
Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between deepseek/deepseek-v4-flash-0731 and qwen/qwen3-vl-30b-a3b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.
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Try DeepSeek V4 Flash 0731 and Qwen3 VL 30B A3B Instruct with one key.
TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.
No card required. Start with 1 million free tokens.