- Instruction Following
MiniMax M2.5 (free) is a third-generation, open-source agentic large language model from MiniMax, offered via multiple providers with free usage tiers. It is notable for its…
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DeepSeek V4 Pro
- Instruction Following
DeepSeek V4 Pro is DeepSeek’s flagship open-weights Mixture-of-Experts language model with a 1 million token context window and strong reasoning and coding capabilities. It is notable for combining frontier-level performance with open licensing and relatively low-cost deployment options.
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 Pro?
DeepSeek V4 Pro is a 1.6-trillion-parameter Mixture-of-Experts large language model from DeepSeek with around 49 billion activated parameters and a 1 million token context window. It is mainly used for advanced reasoning tasks such as complex problem solving, long-horizon agent workflows, and high-end software engineering and coding assistance. It is also used for long-context analysis, knowledge-intensive question answering, and tool-using applications that require function calling and structured outputs. It belongs to the DeepSeek V4 family and succeeds earlier DeepSeek models such as DeepSeek-R1 and prior V-series models.
Model capabilities
5 Core Capabilities
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Advanced Chat
Engages in multi-turn conversations, follows complex instructions, and maintains context across long interactions for diverse assistant-style tasks.
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Image Understanding
Analyzes input images, recognizing objects and visual details to support tasks like description, comparison, and visual reasoning.
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Code Monitoring
Supports reviewing and reasoning about code or logs, helping detect issues, explain behavior, and guide debugging steps.
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Multilingual Translation
Translates between multiple languages, preserving key meaning and style for everyday text and technical content.
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Text Recognition
Extracts and interprets textual content from provided images, enabling downstream understanding, search, and transformation of visual documents.
Use cases
6 Most Valuable Use Cases
- Autonomous Coding Agents
- Complex Code Generation
- Long-Context Research
- Enterprise Knowledge Assistants
- Legal and Policy Analysis
- System Monitoring Agents
Transparent pricing
Cost Comparison
LLM API offers the lowest cost and latency for DeepSeek V4 Pro–class models.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | 120ms | 120 tps | 99.99% | $0.20 | $0.40 | 256K |
| DeepSeek | Global | ~180ms | ~80 tps | ~99.9% | ~$0.30 | ~$0.60 | ~200K |
| OpenRouter | Global | ~220ms | ~60 tps | ~99.9% | ~$0.35 | ~$0.70 | ~128K |
| Together AI | US East | ~210ms | ~70 tps | ~99.9% | ~$0.32 | ~$0.64 | ~128K |
| Fireworks AI | US West | ~200ms | ~75 tps | ~99.9% | ~$0.34 | ~$0.68 | ~200K |
Performance benchmarks
Technical Specifications
| Metric | DeepSeek V4 Pro | OpenAI GPT-4.1 | Anthropic Claude 3.5 Sonnet |
|---|---|---|---|
| Avg Latency | ~180ms | ~250ms | ~220ms |
| Context Window | 128K | 128K | 200K |
| Input Price ($/1M tokens) | $0.80 | $5.00 | $3.00 |
| Output Price ($/1M tokens) | $2.40 | $15.00 | $15.00 |
| Max Output Tokens | 8K | 4K | 4K |
| Throughput | 60 tps | 30 tps | 25 tps |
| Uptime | 99.9% | 99.9% | 99.9% |
30-day usage via LLM API
- 62B
- Prompt tokens processed (30 days)
- 55B
- Completion tokens generated (30 days)
- 8.4M
- API requests served (30 days)
- 99.8%
- Average uptime over 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 best model across providers based on latency, cost, and quality—without changing your integration or redeploying.
One endpoint. Any model. -
Cost-Aware Orchestration
Control spend with configurable policies that downshift to cheaper models when possible and reserve premium models only where they truly matter.
Optimize quality per dollar. -
Resilient Fallback Logic
Eliminate single-provider downtime with automatic fallbacks that retry on alternate models and regions while preserving request shape and semantics.
Stay up when APIs fail. -
Deep LLM Observability
Get full visibility into tokens, latency, errors, and provider health with request-level traces that plug into your existing monitoring stack.
See every token hop. -
Task-Level Abstractions
Define tasks like chat, tools, or RAG once and let LLM.API handle provider-specific quirks, parameters, and response formats for you.
Code to tasks, not vendors. -
High-Throughput Batch Jobs
Run massive inference and evaluation workloads with parallelized, rate-safe batching that maximizes throughput across providers without throttling or manual sharding.
Scale jobs, not scripts.
Decision guide
When to Use — When NOT to Use
Use it if...
- You need a cost-effective, general-purpose LLM for a wide range of tasks.
- You need strong multilingual understanding and generation across many major world languages.
- Your use case involves complex reasoning or coding that benefits from a powerful frontier model.
- You need good performance on math, logic, and structured problem-solving without frontier-model pricing.
- Your use case involves building chatbots, agents, or tools needing tool-use and web-calling abilities.
- You need an alternative to US-based providers for redundancy, jurisdiction, or data-governance reasons.
Avoid if...
- You need guaranteed access to US or EU enterprise-grade compliance, certifications, and legal guarantees.
- Your workload requires tight integration with the OpenAI ecosystem or proprietary OpenAI-specific features.
- You need heavily audited safety filters and mature governance comparable to top US hyperscale providers.
- Your workload requires extremely low latency from US data centers with strict geographic residency.
- You need battle-tested reliability under massive global production scale with long historical uptime records.
- Your workload requires fully transparent, extensively documented training data sources meeting strict compliance rules.
FAQ
Frequently Asked Questions
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What is DeepSeek V4 Pro?
DeepSeek V4 Pro is a large language model by DeepSeek focused on strong reasoning, coding, and general-purpose text generation.
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What modalities does DeepSeek V4 Pro support via LLM.API?
DeepSeek V4 Pro is available as a text-only model on LLM.API, accepting text prompts and returning text completions or chat responses.
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How is DeepSeek V4 Pro typically priced on LLM.API?
DeepSeek V4 Pro is billed on a pay-as-you-go basis per thousand input and output tokens, with exact rates shown in your LLM.API pricing dashboard.
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What is the context window of DeepSeek V4 Pro?
DeepSeek V4 Pro supports a large-context window suitable for long conversations and multi-file coding tasks; check LLM.API docs for the current token limit.
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How fast is DeepSeek V4 Pro in terms of latency?
DeepSeek V4 Pro generally returns first tokens within a few seconds, with total latency depending on prompt size, response length, and LLM.API load.
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What is DeepSeek V4 Pro best suited for?
DeepSeek V4 Pro is best for complex reasoning, code generation and debugging, data analysis assistance, and high-quality general-purpose writing.
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How do I call DeepSeek V4 Pro through LLM.API?
You select the DeepSeek V4 Pro model name in your LLM.API request payload, pass your prompt as messages or text, and authenticate with your API key.
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How does DeepSeek V4 Pro compare to similar frontier models?
DeepSeek V4 Pro offers competitive reasoning and coding quality, often at a lower token cost than many frontier models from larger providers.
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What are the main limitations of DeepSeek V4 Pro?
DeepSeek V4 Pro can still hallucinate, may lack very recent knowledge, and should not be trusted alone for high-stakes legal, financial, or medical decisions.
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Does DeepSeek V4 Pro support streaming responses on LLM.API?
Yes, DeepSeek V4 Pro can stream tokens incrementally when you enable streaming in your LLM.API request, reducing perceived latency for long outputs.
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