- Instruction Following
GPT-5.1 is an OpenAI language model; as of mid-2026, OpenAI has not publicly released technical details or documentation about it.
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DeepSeek V4 Flash (free)
- Instruction Following
DeepSeek V4 Flash (free) is an open-source, efficiency-optimized Mixture-of-Experts language model from DeepSeek, offering a 1M-token context window with only 13B parameters activated per token out of 284B total. It is designed to deliver fast, cost-effective long-context reasoning, coding, and agentic workflows.
Providers Comparison
Speed
Output tokens per second · Higher is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
End-to-End Response Time
Seconds · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
Price
USD per 1M tokens (blended) · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
About the model
What is DeepSeek V4 Flash (free)?
DeepSeek V4 Flash (free) is a 284B-parameter Mixture-of-Experts transformer language model from DeepSeek, with 13B active parameters per token and a 1M-token context window, positioned as the efficiency-tier model in the V4 series. It is mainly used for high-throughput chat, code generation, and structured reasoning, where low latency and token cost are critical. It also supports tool use, agent workflows, and long-context applications such as enterprise assistants and document-heavy analysis. DeepSeek V4 Flash belongs to the DeepSeek V4 family, alongside DeepSeek V4 Pro and earlier DeepSeek generations like V3 and R1.
Model capabilities
5 Core Capabilities
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Conversational Chat
Handles multi-turn conversations, follows instructions, answers questions, and maintains context for a wide range of everyday topics.
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Code Assistance
Helps write, review, and explain code snippets, offering suggestions and basic debugging across commonly used programming languages.
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Multilingual Translation
Translates text between major languages, preserving general meaning and tone for everyday content and basic technical material.
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Image Interpretation
Examines images to identify objects and general scenes, supporting simple descriptions and context-based observations about visual content.
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Text Extraction
Reads and extracts legible text from images or screenshots to make the content searchable, editable, and easier to reuse.
Use cases
6 Most Valuable Use Cases
- High-volume Q&A
- Customer Chatbots
- Code Assistance
- Long-context Research
- Workflow Automation
- Agent Tool Orchestration
Transparent pricing
Cost Comparison
LLM API offers the lowest cost and highest performance for DeepSeek V4-class models.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | ~120ms | ~120 tps | ~99.99% | $0.00 | $0.00 | ~256K |
| DeepSeek | Global | ~180ms | ~80 tps | ~99.9% | $0.00 | $0.00 | ~128K |
| OpenAI | Global | ~220ms | ~70 tps | ~99.9% | ~$0.40 | ~$1.20 | ~128K |
| Azure OpenAI | US East | ~250ms | ~60 tps | ~99.9% | ~$0.45 | ~$1.35 | ~128K |
| Anthropic | US West | ~230ms | ~65 tps | ~99.9% | ~$0.35 | ~$1.05 | ~200K |
Performance benchmarks
Technical Specifications
| Metric | DeepSeek V4 Flash (free) | OpenAI o3-mini (flash-like) | Anthropic Claude 3.5 Haiku |
|---|---|---|---|
| Avg Latency | ~180ms | ~220ms | ~250ms |
| Context Window | 128K | 200K | 200K |
| Input Price ($/1M) | $0.00 | $0.15 | $0.25 |
| Output Price ($/1M) | $0.00 | $0.60 | $0.80 |
| Max Output Tokens | 4K | 4K | 4K |
| Throughput | 60 tps | 40 tps | 35 tps |
| Uptime | 99.5% | 99.9% | 99.9% |
30-day usage via LLM API
- 7.8B
- Prompt tokens processed (30 days)
- 11.4B
- Completion tokens generated (30 days)
- 22.5M
- API requests served (30 days)
- 1.9M
- Unique users (last 30 days)
Architecture & Integration
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
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Unified AI Routing
Automatically route each request to the optimal model across providers based on latency, cost, and quality—without changing your integration or redeploying code.
One endpoint, every model. -
Cost-Aware Orchestration
Control spend with per-route budgets, dynamic model selection, and detailed cost breakdowns so you can optimize for price without sacrificing performance.
Ship fast, spend less. -
Automatic Fallbacks
Define resilient failover chains across providers so timeouts, rate limits, and model outages are handled transparently—keeping your AI features online.
Resilience by default. -
Deep Observability
Get full visibility into every request—latency, errors, cost, and model choice—with searchable traces and metrics to debug, tune, and prove reliability.
See every token. -
Task-Level Abstractions
Describe tasks like chat, classification, or extraction once, and let LLM.API handle prompts, tool-calling, and model quirks across vendors.
Think tasks, not models. -
High-Throughput Batching
Batch thousands of calls into a single request, maximizing throughput and minimizing per-call overhead for large workloads like evaluations, backfills, and bulk inference.
Scale jobs, not code.
Decision guide
When to Use — When NOT to Use
Use it if...
- You need a free, fast LLM for everyday coding, writing, and Q&A tasks.
- You need to prototype an AI feature quickly without worrying about usage costs.
- Your use case involves high-volume, low-stakes requests like summaries, drafts, or translations.
- Your use case involves students or hobbyists experimenting with AI on a tight budget.
- You need a lightweight assistant to generate boilerplate code, scripts, or config snippets.
- Your use case involves chat-style assistance embedded in tools or small web apps.
- You need a backup or fallback model when your primary paid model is unavailable.
Avoid if...
- You need state-of-the-art reasoning quality comparable to top-tier paid frontier models.
- Your workload requires highly reliable domain expertise in law, medicine, or finance.
- You need robust handling of extremely long context windows with consistent reasoning quality.
- Your workload requires strict enterprise guarantees around uptime, SLAs, and compliance certifications.
- You need advanced multimodal capabilities like image generation, audio understanding, or video reasoning.
- Your workload requires fine-grained control, tuning, or custom safety policies at enterprise scale.
- You need optimized inference for on-device or private deployment rather than hosted free access.
FAQ
Frequently Asked Questions
-
What is DeepSeek V4 Flash (free)?
DeepSeek V4 Flash (free) is a fast, costless DeepSeek text generation model accessible through the unified LLM.API gateway.
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What is DeepSeek V4 Flash (free) best suited for?
It is best for high-throughput chat, drafting, and lightweight reasoning tasks where low latency and zero usage cost are more important than maximum intelligence.
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How is DeepSeek V4 Flash (free) priced on LLM.API?
DeepSeek V4 Flash (free) incurs no per-token usage fees, though standard LLM.API account and rate limit policies still apply.
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What is the context window of DeepSeek V4 Flash (free)?
DeepSeek V4 Flash (free) supports a 32K token context window for combined input and output via LLM.API.
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How fast is DeepSeek V4 Flash (free) in terms of latency?
It is optimized for low latency and high token throughput, making it suitable for interactive applications and streaming responses.
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Which modalities does DeepSeek V4 Flash (free) support on LLM.API?
DeepSeek V4 Flash (free) currently supports text-in, text-out workloads only through LLM.API.
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How do I call DeepSeek V4 Flash (free) via the LLM.API?
Specify the model name "deepseek-v4-flash-free" in your LLM.API completion or chat endpoint request payload.
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How does DeepSeek V4 Flash (free) compare to more capable DeepSeek models?
It trades some reasoning depth, coding ability, and accuracy for significantly higher speed and zero per-token cost.
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Are there any notable limitations of DeepSeek V4 Flash (free)?
It may struggle with very complex reasoning, long multi-step tools workflows, or highly specialized domain knowledge compared to larger, paid models.
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Can I use DeepSeek V4 Flash (free) for production workloads?
Yes, but you should account for free-tier rate limits, potential availability constraints, and validate outputs for critical or high-risk use cases.
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