DeepSeek V4 Flash 0731 Fast vs Kimi K3
Practical read: DeepSeek V4 Flash 0731 Fast costs under a tenth as much and 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 Fast | Kimi K3 |
|---|---|---|
| Price, 1M in + out | $0.38 Wafer, cheapest route | $11.97 Chutes, cheapest route |
| Best for | Low cost and speed | |
| Input / output, 1M | $0.14 / $0.24 | $1.95 / $10.02 |
| Cached input | $0.02954/1M to $0.092313/1M | $0.1688/1M to $0.910887/1M |
| Context window | 1M 1,000,000 tokens | 1.05M 1,048,576 tokens |
| First token, p50 | 0.53 s via Wafer | 0.82 s via Telnyx |
| Throughput | Measuring | 255 tok/s via Wafer |
| AI IQ | Unrated | IQ 127 #22 on AI IQ |
| Provider routes | 2 with failover | 26 with failover |
| Privacy | Zero retention route | Confidential E2EE and zero retention route |
| Recent route uptime range | 100.00% | 66.67% to 100.00% |
| Publisher | DeepSeek | Kimi |
| 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 Fast and Kimi K3 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-fast, then on moonshotai/kimi-k3.
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-fast", "moonshotai/kimi-k3"):
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-fast moonshotai/kimi-k3; 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 V4 Flash 0731 Fast or MoonshotAI: Kimi K3?
DeepSeek V4 Flash 0731 Fast has the lower published input-plus-output rate and the lower measured p50 time to first token. MoonshotAI: Kimi K3 has more Credits provider routes and the larger context window.
Is DeepSeek V4 Flash 0731 Fast or MoonshotAI: Kimi K3 cheaper?
The current cheapest TrustedRouter route is $0.3798/1M for DeepSeek V4 Flash 0731 Fast and $11.97425/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.
Is DeepSeek V4 Flash 0731 Fast or MoonshotAI: Kimi K3 faster?
Current measured p50 time to first token is 534 ms for DeepSeek V4 Flash 0731 Fast and 823 ms for MoonshotAI: Kimi K3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.
Can I test DeepSeek V4 Flash 0731 Fast and MoonshotAI: Kimi K3 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-fast and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.
More comparisons
All comparisonsTry DeepSeek V4 Flash 0731 Fast and Kimi K3 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.