Gemini 4 Argon, Google's latest frontier model, is now live on Fikra API from day 0. Use it through the same OpenAI-compatible endpoint you already use, with no new SDK and no separate Google account.
Google built Argon for deep work in complex, real-world tasks: software engineering, finance and legal analysis, cybersecurity defense, and scientific reasoning. It is a new model, not a fine-tune of an earlier one.
Highlights
- Frontier agentic coding. 77.9% on DeepSWE v1.1 and 91.9% on Vibe Code Bench.
- Enterprise knowledge work. 68.9% on the Vals Index and 65.4% on Vals Finance Agent v2.
- Long context that holds up. 84.2% on GraphWalks at 256k to 1M tokens.
- Deep visual understanding. 91.7% on LVBench and 71.6% on Chartography.
- Multimodal inputs. Text, images, audio and video in, text out.
Benchmark figures are reported by Google in the Gemini 4 Argon model card. Methodology is published by Google DeepMind.
Model details
|
|
| Model ID |
gemini-4-argon |
| Architecture |
Sparse mixture-of-experts transformer |
| Input |
Text, images [, audio, video] |
| Output |
Text |
| Context window |
1M tokens (input + output combined) |
| Knowledge cutoff |
March 2026 |
| Input price |
$2.50 / 1M tokens |
| Output price |
$12.00 / 1M tokens |
| Streaming |
Yes |
Billing works like every other Fikra model: prompt and completion tokens are metered separately and deducted from your USD wallet. M-Pesa and card top-ups both work.
Try it
curl https://api.fikraapi.co.ke/v1/chat/completions \
-H "Authorization: Bearer $FIKRA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-4-argon",
"messages": [{"role": "user", "content": "Hello, Argon."}],
"stream": true
}'
Or with the OpenAI Python SDK:
from openai import OpenAI
client = OpenAI(
base_url="https://api.fikraapi.co.ke/v1",
api_key="YOUR_FIKRA_API_KEY",
)
resp = client.chat.completions.create(
model="gemini-4-argon",
messages=[{"role": "user", "content": "Hello, Argon."}],
)
print(resp.choices[0].message.content)
Get started
- Create an account or log in to your dashboard.
- Top up your wallet and generate an API key.
- Set
model to gemini-4-argon.
You can also try it in the browser at fikraapi.co.ke/models/gemini-4-argon/play before writing any code.
Good to know
- Like all foundation models, Argon can hallucinate, and you may see occasional slowness or timeouts at launch.
- Its knowledge cutoff is March 2026, and some domains may be less current.
- Use is subject to Google's Generative AI Prohibited Use Policy.
- Questions or issues? Reach us at [email protected].
