Kimi K3 Fast on Fireworks vs Qwen3.8 27B

Practical read: Kimi K3 Fast on Fireworks reads more context. Qwen3.8 27B costs under a tenth as much. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

Kimi K3 Fast on Fireworks compared with Qwen: Qwen3.8 27B
Attribute	Kimi K3 Fast on Fireworks `moonshotai/kimi-k3-fast`	Qwen3.8 27B `qwen/qwen3.8-27b`
Price, 1M in + out	$28.48 Fireworks AI, cheapest route	$0.39 Engy, cheapest route
Best for	Long documents	Low cost
Input / output, 1M	$4.75 / $23.74	$0.047 / $0.34
Cached input	$0.47475/1M	$0.01/1M to $0.180405/1M
Context window	1.05M 1,048,576 tokens	66K 65,536 tokens
First token, p50	Measuring	0.93 s via Crusoe
AI IQ	Unrated	IQ 115 #57 on AI IQ
Provider routes	1	21 with failover
Privacy	Varies by provider	Confidential E2EE and zero retention route
Recent route uptime range	100.00%	100.00%
Publisher	Kimi	Alibaba Cloud Model Studio
Modes	chat	chat
More detail	Overview	Overview Pricing Providers

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 Kimi K3 Fast on Fireworks and Qwen3.8 27B 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 moonshotai/kimi-k3-fast, then on qwen/qwen3.8-27b.
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 ("moonshotai/kimi-k3-fast", "qwen/qwen3.8-27b"):
    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 moonshotai/kimi-k3-fast qwen/qwen3.8-27b; 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

Your agent will need an API key.

Questions

Which should I use, Kimi K3 Fast on Fireworks or Qwen: Qwen3.8 27B?

Kimi K3 Fast on Fireworks has the larger context window. Qwen: Qwen3.8 27B has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

Is Kimi K3 Fast on Fireworks or Qwen: Qwen3.8 27B cheaper?

The current cheapest TrustedRouter route is $28.485/1M for Kimi K3 Fast on Fireworks and $0.385075/1M for Qwen: Qwen3.8 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Kimi K3 Fast on Fireworks or Qwen: Qwen3.8 27B faster?

Current measured p50 time to first token is not enough data for Kimi K3 Fast on Fireworks and 929 ms for Qwen: Qwen3.8 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Kimi K3 Fast on Fireworks and Qwen: Qwen3.8 27B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between moonshotai/kimi-k3-fast and qwen/qwen3.8-27b. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Kimi K3 Fast on Fireworks and Qwen3.8 27B 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.