DeepSeek V4.1 Flash
Availabledeepseek/deepseek-v4.1-flashDeepSeek's fast, low-cost agentic coding model with a 1M-token context window.
- Chat
- 1.05M context
- 131K max output
- Tools
Pricing
- Input
- $0.15 / 1M tokens
- Output
- $0.60 / 1M tokens
- Cached input
- $0.005 / 1M tokens
What it costs
Performance on SparrowCodes
Measured from real requests over the last 7 days.
- Throughput
- 130 tok/s
- First token
- 1.16 s
- Latency
- 3.07 s
- Success rate
- 99.4%
Medians across 173 requests.
Official benchmarks
Scores published by the model's maker, under their test conditions.
The maker hasn't published benchmark scores we could verify for this model.
Specifications
- Type
- Chat
- Served by
- SparrowCodes
- Context window
- 1,048,576 tokens
- Maximum output
- 131,072 tokens
- Input types
- Text
- Tool calling
- Supported
Use it
curl https://api.sparrowcodes.com/v1/chat/completions \
-H "Authorization: Bearer $SPARROW_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-v4.1-flash",
"messages": [{"role": "user", "content": "Explain rate limiting in one paragraph."}]
}'Set "model" to deepseek/deepseek-v4.1-flash. The response includes its exact cost.
From the blog
- Meta Muse Ember 1.0: a $0.10-per-million-token model for agents, with a 1M context
Meta's smallest and cheapest Muse model, released 9 November 2026, is built for the routine parts of agent work: tool calls, routing, extraction and coding subtasks. Price, limits and how it compares.
- Kimi K3.1 Pro is now open-weight: 2.8 trillion parameters, 1M context
Moonshot AI published the weights of Kimi K3.1 Pro on Hugging Face in early November 2026. It ranks first among open-weight models on Arena's agent leaderboard. Size, licence and what it takes to run.
- Mistral Large 4 open weights: a 1-trillion-parameter model you can download
Mistral published the weights of Mistral Large 4 on 29 October 2026: about 1 trillion parameters, roughly 50 billion active, 1M context and image input. The licence, the API price and the hardware it needs.