deepseek-v4.1-flash
Deepseek V4.1 Flash · Open model, served on Fikra infrastructure
One endpoint. Pick a row and call it.
Deepseek V4.1 Flash · Open model, served on Fikra infrastructure
DeepSeek V4.1 Flash 1017 · The latest DeepSeek V4.1 Flash update (Oct 17 build): better reasoning
Deepseek V4.1 Flash 0731 · Open model, served on Fikra infrastructure
GLM 5.3 Flash · Open model, served on Fikra infrastructure
Kimi K3 · Open model, served on Fikra infrastructure
Step 5 Preview · Open model, served on Fikra infrastructure
MiMo V2.6 Pro · Xiaomi MiMo-V2.6-Pro: the top-scoring open-weight model on the Artific
Gemini 4 Argon · Open model, served on Fikra infrastructure
GLM 5.2 · Z.ai GLM-5.2 on a 1M context: strong coding and reasoning at a lower p
GLM 5.3 · Z.ai flagship GLM-5.3: large-scale reasoning for complex software engi
NVIDIA Nemotron 3.5 Super VL · Open model, served on Fikra infrastructure
Qwen 3.8 27B · Fast 27B-class multimodal model with automatic prompt caching. Pay $0.
Open model, served on Fikra infrastructure
Open model, served on Fikra infrastructure
Open model, served on Fikra infrastructure
Open model, served on Fikra infrastructure
Open model, served on Fikra infrastructure
Open model, served on Fikra infrastructure
Open model, served on Fikra infrastructure
OpenAI-compatible endpoints on open-weight models. Among the cheapest live DeepSeek routes anywhere, cached input from $0.025/M, checkpoint IDs that never silently change, up to 1M context, and published benchmarks for every lane, failures included. Pick a model, get a key, and call it with any OpenAI SDK.
No signup required. Test our infrastructure instantly.
Fikra API is fully OpenAI-compatible. Any SDK, any language. Point your base URL to our endpoint, use your Fikra key, and everything else stays exactly the same.
Read the API Documentation →import openai # Change just this line client = openai.OpenAI( base_url="https://api.fikraapi.co.ke/v1", api_key="your_fikra_key" ) response = client.chat.completions.create( model="deepseek-v4.1-flash-1017", messages=[{ "role": "user", "content": "Analyze this dataset." }] )
Reasons you should consider Fikra API over direct labs or aggregator gateways, in order of who benefits: agents, agents' operators, and people.
01 PRICE
Even cheaper than the official DeepSeek API. The pinned DeepSeek builds are priced at $0.045 to 0.05/M input, with the lowest DeepSeek output rate of any live route, cached input at $0.025/M, and the serving grid transparently engineered for contract-floor price points.
See the DeepSeek line →02 AGENT RAILS
x402 (USDC on Base) lets an agent pay per request with no signup, no credit card and no human in the loop. The same /v1 endpoint serves both agent traffic and key traffic, priced at the same rates.
Agent gateway docs →03 PROTOCOLS
A first-class MCP server endpoint (fikra_chat, fikra_list_models, fikra_quote) and an A2A message/send route, so agent frameworks can mount Fikra without writing a custom adapter.
Protocol docs →04 COST CONTROL
A paid quote endpoint (/v1/agent/quote) returns what a planned call will cost before you run it. Machine-readable pricing.md and a public cost calculator make budgets audit-friendly instead of a surprise line item.
Cost calculator →05 LIFECYCLE
Model builds are versioned (deepseek-v4.1-flash-1017, deepseek-v4-flash-0731) and treated as long-lived SKUs. Retirements, when they ever happen, go out on the public feed with a sunset date instead of silently vanishing.
Product feed →06 CACHED INPUT
Prompt caching is automatic on the DeepSeek line: repeated system prompts, RAG context and agent loop prefixes bill at a fraction of fresh input, and the saving shows up in your usage response, not in a rebate you have to claim.
Cached rates →07 TRANSPARENCY
Live usage and uptime (usage.json), published traffic rules, a public benchmark page, an OpenAPI spec, llms.txt for agents and a machine-readable model catalog you can audit in a single request.
Usage and uptime →08 GET STARTED
Every new account starts with a $1 signup credit, one top-up scales limits to 3,000 requests/min and 1B tokens/day, and cached input bills from $0.025/M on the DeepSeek line. No subscription to cancel.
Start free →09 BILLING
Published rates, prepaid wallet, no subscriptions. Normal cards and USDC (x402 on Base) are the rails. Auto-recharge on a threshold if you want it, and the meter stays auditable either way.
Billing details →
step-5-preview scored 8.2/100 on Fikra Eval 500. The upstream model is a preview release that degenerates on long prompts (repetition loops) with very high latency. Genuine numbers, unstable model.
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glm-5.3-flash scored 80.2/100 on Fikra Eval 500.
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Deepseek V4.1 FLah 0731 is a new model from Deepseek with pareto performance improvements
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Now available through the Fikra API
Step 5 Preview is a new flagship model from Stepfun AI
→Every Fikra model runs the same deterministic 500-task platform evaluation: arithmetic, coding, knowledge, language and instruction following. Results are published automatically the moment a run finishes.
Published rates, meters you can audit, and no meter surprises. No subscriptions, no platform fees. Top up once and your limits scale permanently. Model usage is billed per token from your prepaid wallet at catalog rates, at dollars you can compute before your agent spends.
Start building: $1 credit, no card →| Limit | New account ($1 signup credit) | After at least 1 top-up |
|---|---|---|
| Requests per minute | 30 | 3,000 |
| Requests per day | 300 | 250,000 |
| Tokens per minute | 100,000 | 20,000,000 |
| Tokens per day | 1,000,000 | 1,000,000,000 |
| Context window | Up to 1,000,000 tokens per request with the DeepSeek line | |
New accounts start with a $1 signup credit, no card required. At $0.045/M input that covers 22M tokens of deepseek-v4.1-flash. The catalog lists live rates for everything else.