Last refreshed 2026-05-20. Next refresh: weekly.
Why use DeepSeek Prover V2 on Fireworks AI?
Fireworks AI offers DeepSeek Prover V2 with pay-as-you-go pricing at $0.56/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare DeepSeek Prover V2 across 2 providers to find the best fit for your use caseInput / 1M
$0.56
Output / 1M
$1.68
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/deepseek-prover-v2Request 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/deepseek-prover-v2",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/deepseek-prover-v2", not the LLMReference slug "deepseek-prover-v2".
- 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 DeepSeek Prover V2 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.56 | $1.68 |
| Novita AI | $0.70 | $2.50 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.56 |
| Output tokens | $1.68 |
Capabilities
Reasoning
About DeepSeek Prover V2
DeepSeek Prover V2 is DeepSeek's DeepSeek Prover model focused on step-by-step reasoning. It offers a 160K-token context window with weights openly available for self-hosting.
Get Started
Model Specs
Released2025-04-30
Parameters671B
Context160k
ArchitectureDecoder Only