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Mistral Large 3 2512 is Mistral’s most capable open-source sparse mixture-of-experts large language model, offering multimodal (text, image, file) support, a 262K-token context window, and an…
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MoonshotAI Kimi Latest
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MoonshotAI Kimi Latest is the most recent version of MoonshotAI’s Kimi conversational large language model, designed for fast, web-connected chat and practical assistance in Chinese and English. It emphasizes up-to-date information access and an interactive, search-augmented experience.
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 MoonshotAI Kimi Latest?
MoonshotAI Kimi Latest is the current flagship Kimi conversational AI model from MoonshotAI, optimized for web-assisted question answering and dialogue. It is mainly used for everyday chat, information lookup, and productivity tasks such as drafting, summarization, and basic coding help. It is also applied in search-style Q&A scenarios where it integrates online results into natural language responses. It follows earlier Kimi model iterations in the MoonshotAI Kimi family, which have been progressively upgraded for quality, speed, and retrieval capabilities.
Model capabilities
5 Core Capabilities
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Advanced Chatting
Engages in coherent, context-aware dialogue over ultra-long conversations, supporting complex reasoning, planning, and assistant-style interaction.
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Multimodal Vision
Understands and reasons over images and other visual inputs, enabling detailed descriptions, analysis, and integration with text prompts.
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Code Generation
Writes, analyzes, and debugs code in multiple languages, supporting long-horizon coding tasks and agent-assisted software development.
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Document OCR
Extracts and interprets text from complex documents like PDFs, slides, and screenshots, supporting downstream reasoning and summarization.
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Language Translation
Translates between major languages with strong comprehension, preserving meaning and tone in both short queries and long documents.
Use cases
6 Most Valuable Use Cases
- General Chat Assistant
- Invoice And Receipt Parsing
- Legal Case Research
- Compliance Case Monitoring
- Business Strategy Support
- Code Generation And Review
Transparent pricing
Cost Comparison
LLM API offers the lowest prices and fastest access for Kimi-class models.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | ~180ms | ~120 tps | 99.99% | ~$0.20 | ~$0.60 | ~200K |
| MoonshotAI | APAC | ~450ms | ~40 tps | ~99.9% | ~$0.60 | ~$1.80 | ~200K |
| OpenAI (o4 / GPT-4.1 equivalent) | Global | ~500ms | ~50 tps | 99.9% | ~$2.50 | ~$10.00 | 128K |
| Anthropic (Claude 3.5 Sonnet equivalent) | US East | ~550ms | ~40 tps | 99.9% | ~$3.00 | ~$15.00 | 200K |
| Google (Gemini 1.5 Pro equivalent) | Global | ~600ms | ~35 tps | 99.9% | ~$2.00 | ~$8.00 | 1M |
Performance benchmarks
Technical Specifications
| Metric | MoonshotAI Kimi Latest | OpenAI GPT-4.1 | Anthropic Claude 3.5 Sonnet |
|---|---|---|---|
| Avg Latency | ~800ms | ~900ms | ~1.1s |
| Context Window | 200K | 128K | 200K |
| Input Price ($/1M) | $2.00 | $5.00 | $3.00 |
| Output Price ($/1M) | $6.00 | $15.00 | $15.00 |
| Max Output Tokens | 8K | 4K | 8K |
| Throughput | 40 tps | 30 tps | 35 tps |
| Uptime | 99.9% | 99.9% | 99.9% |
30-day usage via LLM API
- 62B
- Prompt tokens processed (last 30 days)
- 9.8B
- Completion tokens generated (last 30 days)
- 7.4M
- API requests served (last 30 days)
- 99.96%
- Average API uptime (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—no client changes, just smarter traffic.
One endpoint, best model -
Cost-Aware Control
Enforce budgets, caps, and per-project policies while mixing premium and value models, so you never lose track of spend or surprise invoices again.
Predictable AI spend -
Resilient Fallbacks
Define provider and model fallbacks that trigger automatically on failures or timeouts, keeping your AI flows reliable even during provider outages.
No single point of failure -
Deep Observability
Track latency, cost, errors, and usage by model, project, and tenant with structured logs and metrics built for debugging and optimization.
See every token -
Task-Level Orchestration
Describe tasks, not models. Let LLM.API choose tools, models, and prompts under the hood so you can evolve backends without touching client code.
Model-agnostic tasks -
High-Throughput Batch
Submit large batches of jobs through one API with smart chunking, concurrency control, and retries to maximize throughput and minimize per-unit costs.
Scale without throttling
Decision guide
When to Use — When NOT to Use
Use it if...
- You need a strong general-purpose chat model optimized for Chinese and English dialogue.
- You need web-connected answers about recent events via a commercial Chinese provider.
- Your use case involves everyday coding help, debugging, and explanations in bilingual environments.
- Your use case involves consumer-facing assistants for Chinese users with natural, friendly tone.
- You need a capable general LLM from a non-US provider for redundancy or data locality.
- Your use case involves brainstorming, rewriting, or summarizing text with moderate length documents.
Avoid if...
- You need strict enterprise compliance guarantees comparable to top US or EU cloud providers.
- Your workload requires verifiable, top-tier reasoning comparable to the very latest frontier models.
- You need deterministic, auditable behavior with mature enterprise governance and granular access controls.
- Your workload requires on-premise deployment or private VPC hosting with contractual guarantees.
- You need strong support for niche programming languages or highly specialized technical domains.
- Your workload requires explicit US or EU data residency with clearly documented regulatory certifications.
FAQ
Frequently Asked Questions
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What is MoonshotAI Kimi Latest?
MoonshotAI Kimi Latest is a large language model by ~Moonshotai, exposed via LLM.API as their most up-to-date Kimi chat model.
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What is the context window of MoonshotAI Kimi Latest?
MoonshotAI Kimi Latest supports a context window up to 200K tokens, suitable for long documents and multi-step reasoning.
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How is MoonshotAI Kimi Latest priced on LLM.API?
Pricing for MoonshotAI Kimi Latest is usage-based per 1,000 tokens and is defined by LLM.API, not directly by ~Moonshotai.
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What is MoonshotAI Kimi Latest best suited for?
MoonshotAI Kimi Latest is best for general-purpose chat, coding assistance, long-context document analysis, and English and Chinese reasoning tasks.
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How fast is MoonshotAI Kimi Latest in terms of latency?
MoonshotAI Kimi Latest typically returns first tokens in under a second for short prompts, with total latency depending on output length and load.
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What input and output modalities does MoonshotAI Kimi Latest support via LLM.API?
Through LLM.API, MoonshotAI Kimi Latest currently supports text input and text output only.
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How do I call MoonshotAI Kimi Latest through LLM.API?
Use the LLM.API chat or completions endpoint with the model identifier "MoonshotAI Kimi Latest" and your standard authentication header.
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How does MoonshotAI Kimi Latest compare to similar models on LLM.API?
MoonshotAI Kimi Latest targets strong reasoning and long-context performance at competitive cost, comparable to other frontier 100K+ context chat models.
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Does MoonshotAI Kimi Latest support tools or function calling via LLM.API?
If enabled by LLM.API, MoonshotAI Kimi Latest can be used with the platform's standardized tool or function-calling interface.
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What limitations should I be aware of when using MoonshotAI Kimi Latest?
MoonshotAI Kimi Latest may hallucinate facts, struggle with very recent information, and should not be used without human review for safety-critical decisions.
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