Last refreshed 2026-06-04. Next refresh: weekly.
Why use Kimi K2 Thinking on Fireworks AI?
Fireworks AI offers Kimi K2 Thinking with pay-as-you-go pricing at $0.60/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Kimi K2 Thinking across 7 providers to find the best fit for your use caseInput / 1M
$0.60
Output / 1M
$2.50
Cache
Not sourced
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-k2-thinkingRequest 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-k2-thinking",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/kimi-k2-thinking", not the LLMReference slug "kimi-k2-thinking".
- 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 K2 Thinking Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.60 | $2.50 |
| GCP Vertex AI | $0.60 | $2.50 |
| NVIDIA NIM | — | — |
| AWS Bedrock | $0.60 | $2.50 |
| OpenRouter | $0.60 | $2.50 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.60 |
| Output tokens | $2.50 |
Capabilities
ReasoningStructured Outputs
About Kimi K2 Thinking
Extended thinking variant of Kimi K2 with native reasoning capabilities. 256K context.
Get Started
Model Specs
Released2025-01-01
Parameters1T (32B active)
Context256k
ArchitectureDecoder Only