anthropic/claude-opus-4-8 vs Kimi K3.1 Pro
One key routes both. Starter credit covers your first Kimi K3.1 Pro requests, while anthropic/claude-opus-4-8 runs on your own provider key. Switch by changing the model name.
Side by side:
| Attribute | anthropic/claude-opus-4-8 | Kimi K3.1 Pro |
|---|---|---|
| Price, 1M in + out | $31.65 Your provider key | $8.86 Engy, cheapest route |
| Cached input | Not published | $0.1477/1M to $0.422/1M |
| Context window | 1M 1,000,000 tokens | 1.05M 1,048,576 tokens |
| First token, p50 | Measuring | 0.94 s via Telnyx |
| AI IQ | Unrated | IQ 132 #14 on AI IQ |
| Provider routes | 0 | 15 with failover |
| Privacy | Varies by provider | Confidential E2EE and zero retention route |
| Recent route uptime range | not enough data | 100.00% |
| Publisher | Anthropic | Kimi |
| Modes | chat messages | 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 anthropic/claude-opus-4-8 and Kimi K3.1 Pro 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, then on moonshotai/kimi-k3.1-pro.
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", "moonshotai/kimi-k3.1-pro"):
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 moonshotai/kimi-k3.1-pro; 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, anthropic/claude-opus-4-8 or MoonshotAI: Kimi K3.1 Pro?
MoonshotAI: Kimi K3.1 Pro 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 anthropic/claude-opus-4-8 or MoonshotAI: Kimi K3.1 Pro cheaper?
The current cheapest TrustedRouter route is $31.65/1M for anthropic/claude-opus-4-8 and $8.862/1M for MoonshotAI: Kimi K3.1 Pro. The comparison uses current catalog prices and updates as provider pricing changes.
Is anthropic/claude-opus-4-8 or MoonshotAI: Kimi K3.1 Pro faster?
Current measured p50 time to first token is not enough data for anthropic/claude-opus-4-8 and 936 ms for MoonshotAI: Kimi K3.1 Pro. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.
Can I test anthropic/claude-opus-4-8 and MoonshotAI: Kimi K3.1 Pro 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 and moonshotai/kimi-k3.1-pro. This makes side-by-side evals possible without maintaining two provider integrations.
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Try anthropic/claude-opus-4-8 and Kimi K3.1 Pro 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 K3.1 Pro requests, while anthropic/claude-opus-4-8 runs on your own provider key. Switch by changing the model name.