Last refreshed 2026-11-05. Next refresh: weekly.
Why use Kimi K3.1 Pro on Fireworks AI?
Fireworks AI offers Kimi K3.1 Pro with pay-as-you-go pricing at $2.00/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Kimi K3.1 Pro across 6 providers to find the best fit for your use caseInput / 1M
$2.00
Output / 1M
$10.00
Cache
read $0.20
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FIREWORKS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],Model ID
accounts/fireworks/models/kimi-k3p1-proRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="accounts/fireworks/models/kimi-k3p1-pro",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/kimi-k3p1-pro", not the LLMReference slug "kimi-k3-1-pro".
- Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
- The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.
Compare Kimi K3.1 Pro Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Moonshot AI Kimi | $2.00 | $10.00 |
| Vercel AI Gateway | $2.00 | $10.00 |
| OpenRouter | $2.00 | $10.00 |
| Together AI | $2.00 | $10.00 |
| Fireworks AI | $2.00 | $10.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $2.00 |
| Output tokens | $10.00 |
Capabilities
VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching
About Kimi K3.1 Pro
Kimi K3.1 Pro is the first model in Moonshot AI's K3.1 series, a post-trained version of Kimi K3. It has a 1,048,576-token context window, always-on reasoning with low, high and max effort, image and video input, tool calling and strict JSON Schema structured output. Released 2026-10-23 on Kimi.ai, Kimi Work, Kimi Code and the Kimi API; Moonshot published the weights on Hugging Face under the Kimi K3.1 Pro License.
Get Started
Model Specs
Released2026-10-23
Parameters2800B total; 104B active
Context1M
ArchitectureMixture of Experts