Claude Opus 4.8 AWS vs Kimi K3

One key routes both. Starter credit covers your first Kimi K3 requests, while Claude Opus 4.8 AWS runs on your own provider key. Switch by changing the model name.

Side by side:

Claude Opus 4.8 AWS compared with MoonshotAI: Kimi K3
Attribute	Claude Opus 4.8 AWS `anthropic/claude-opus-4.8-aws`	Kimi K3 `moonshotai/kimi-k3`
Price, 1M in + out	$31.65 Your provider key	$11.97 Chutes, cheapest route
Cached input	Not published	$0.1688/1M to $0.910887/1M
Context window	1M 1,000,000 tokens	1.05M 1,048,576 tokens
First token, p50	Measuring	0.82 s via Telnyx
Throughput	Measuring	255 tok/s via Wafer
AI IQ	Unrated	IQ 127 #22 on AI IQ
Provider routes	0	26 with failover
Privacy	Varies by provider	Confidential E2EE and zero retention route
Recent route uptime range	not enough data	66.67% to 100.00%
Publisher	Anthropic	Kimi
Modes	chat messages	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 Claude Opus 4.8 AWS 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 anthropic/claude-opus-4.8-aws, 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 ("anthropic/claude-opus-4.8-aws", "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 anthropic/claude-opus-4.8-aws 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

Your agent will need an API key.

Questions

Which should I use, Claude Opus 4.8 AWS or MoonshotAI: Kimi K3?

MoonshotAI: Kimi K3 has more Credits provider routes and the larger context window. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

Is Claude Opus 4.8 AWS or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $31.65/1M for Claude Opus 4.8 AWS and $11.97425/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Claude Opus 4.8 AWS or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is not enough data for Claude Opus 4.8 AWS 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 Claude Opus 4.8 AWS 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 anthropic/claude-opus-4.8-aws and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Claude Opus 4.8 AWS 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.

One key routes both. Starter credit covers your first Kimi K3 requests, while Claude Opus 4.8 AWS runs on your own provider key. Switch by changing the model name.