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openchat • General Purpose

Use OpenChat 3.5 (0106) for Free

OpenChat 3.5 is the community's answer to aligned AI — a free, open model that matched GPT-3.5 Turbo performance through C-RLFT fine-tuning at minimal training cost.

3,000+ registered users 100+ daily active No credit card required No API key needed Released January 2024 7B parameters 8K tokens context

What Is OpenChat 3.5 (0106)? — Complete Guide

OpenChat 3.5 (0106) is an AI model released January 2024 by openchat, a leading organization in large language model research. Community-trained OpenChat 3.5 — outperforms ChatGPT-3.5 on MT-Bench at just 7B params. Friendly, conversational tone. With 7B and a 8K tokens context window, OpenChat 3.5 (0106) is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.

OpenChat 3.5 (0106) uses a dense transformer architecture with 7B of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. openchat's training pipeline combined large-scale pretraining on a large-scale multilingual pretraining dataset with supervised fine-tuning and alignment techniques (RLHF or DPO), producing OpenChat 3.5 (0106)'s characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, OpenChat 3.5 (0106) by openchat demonstrates measurable performance on standard AI evaluation benchmarks. On MT-Bench — which measures model performance on specialized evaluation tasks — it achieves 7.8. For software engineering tasks, OpenChat 3.5 (0106) scores 71.4% on HumanEval, which tests ability to write correct functions from docstrings. These scores place OpenChat 3.5 (0106) — at 7B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

The primary strengths of OpenChat 3.5 (0106) are: 7.8 MT-Bench — first 7B to match ChatGPT-3.5 on MT-Bench at January 2024 release; C-RLFT training: outperforms standard RLHF without proprietary preference data; MIT license. These make it particularly well-suited for Legacy OpenChat 3.5 deployments, Research on efficient instruction tuning. Users working on complex, multi-step problems benefit most from OpenChat 3.5 (0106)'s ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, OpenChat 3.5 (0106) has limitations: Superseded by Qwen3 8B, Llama 3.1 8B, Gemma 3; 8K context window. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. openchat continues to improve OpenChat 3.5 (0106) through ongoing research.

OpenChat 3.5 (0106) is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making OpenChat 3.5 (0106) accessible to students, researchers, developers, and early-stage teams globally.

OpenChat 3.5 (0106) Capabilities

General Purpose
Versatile across all tasks

OpenChat 3.5 (0106) — Technical Specifications

Provider
openchat
Parameters
7B
Context Window
8K tokens
Released
January 2024
License
MIT
Origin
International
Knowledge Cutoff
January 2024
Architecture: Dense transformer, 7B parameters, C-RLFT fine-tuned from Mistral 7B
Open Source: Yes — model weights publicly available

Benchmark Performance — OpenChat 3.5 (0106)

MT-Bench
MT-Bench — measures model performance on specialized evaluation tasks
7.8
HumanEval
OpenAI's Python coding benchmark — tests ability to write correct functions from docstrings
71.4%
MMLU
Massive Multitask Language Understanding — tests world knowledge across 57 academic subjects from elementary to professional level
65.3%

As of 2026-10-16, OpenChat 3.5 (0106) by openchat demonstrates measurable performance on standard AI evaluation benchmarks. On MT-Bench — which measures model performance on specialized evaluation tasks — it achieves 7.8. For software engineering tasks, OpenChat 3.5 (0106) scores 71.4% on HumanEval, which tests ability to write correct functions from docstrings. These scores place OpenChat 3.5 (0106) — at 7B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

Best Use Cases

Legacy OpenChat 3.5 deployments
Research on efficient instruction tuning

Why Choose OpenChat 3.5 (0106)?

7.8 MT-Bench — first 7B to match ChatGPT-3.5 on MT-Bench at January 2024 release
C-RLFT training: outperforms standard RLHF without proprietary preference data
MIT license

Strengths

7.8 MT-Bench — first 7B to match ChatGPT-3.5 on MT-Bench at January 2024 release
C-RLFT training: outperforms standard RLHF without proprietary preference data
MIT license

Limitations

Superseded by Qwen3 8B, Llama 3.1 8B, Gemma 3
8K context window

Architecture & Technical Design

Dense transformer, 7B parameters, C-RLFT fine-tuned from Mistral 7B

The training pipeline for OpenChat 3.5 (0106) involves multiple stages: large-scale pretraining on diverse multilingual text and code corpora to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. openchat's research team — based in International — has optimized OpenChat 3.5 (0106) for the specific capability profile described above.

Inference efficiency: OpenChat 3.5 (0106) at 7B is designed to deliver quality outputs at practical serving speeds. Its 8K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.

How to Use OpenChat 3.5 (0106) on LITHOVEX AI

Getting started with OpenChat 3.5 (0106) on LITHOVEX AI takes under two minutes. Follow these steps:

1. Create your free account — Visit the LITHOVEX AI sign-up page and register with your email. No credit card. Takes about 30 seconds.
2. Select OpenChat 3.5 (0106) — Search for "OpenChat 3.5 (0106)" in the model browser or browse by openchat. Click to open the chat interface.
3. Start your first conversation — Type your question or task. Paste code, ask for analysis, or upload documents directly.
4. Refine and iterate — Ask follow-up questions, request revisions, or try alternative approaches. OpenChat 3.5 (0106) maintains full conversation context.
5. Compare with other models — Switch to any of LITHOVEX AI's 200+ models to compare outputs and find the best fit for your task — no additional subscriptions needed.

For best results with OpenChat 3.5 (0106): provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.

Real-World Use Cases — OpenChat 3.5 (0106)

Example 1

Open alternative to GPT-3.5 Turbo for developers

Example 2

General-purpose chatbot for research and educational use

Example 3

Starting point for custom fine-tuned aligned models

Example 4

AI integration prototyping without API costs

Example 5

Community AI projects requiring strong baseline aligned models

About openchat

openchat is a leading organization in AI research and large language model development. Their team has built expertise across natural language processing, model architecture design, and alignment research. openchat's models are used by researchers, developers, and enterprises worldwide. Their commitment to advancing AI capability while maintaining responsible deployment practices has made them a respected contributor to the global AI ecosystem. The organization continues to publish research and release models that push the boundaries of what AI systems can achieve.

Founded: 2023, headquartered in International.

Visit the official openchat website →

Why pay when OpenChat 3.5 (0106) is free on LITHOVEX AI?

Official/Direct Access

OpenChat 3.5 (Jan 2024) is fully open source under Apache 2.0 — the most permissive AI license. Download it for free from HuggingFace and run it on your own hardware. Community inference via HuggingFace Inference API offers a free rate-limited tier. Third-party API providers (Replicate, Together AI, Fireworks) typically charge $0.05–$0.80 per million tokens depending on model size. On LITHOVEX AI, OpenChat 3.5 (Jan 2024) is immediately accessible — no download, no API key, no credit card.
Subscription or per-token billing required
API key setup and billing configuration
Usage limits and overage fees
Credit card required upfront
Separate subscriptions for each model

LITHOVEX AI — Free Account

On LITHOVEX AI, access OpenChat 3.5 (0106) and 200+ other frontier models with a single free account — no API key, no subscription, no credit card.
Free account access — no subscription required
No API key required
No credit card required
Same model, identical output quality
200+ models under one account, $0

How OpenChat 3.5 (0106) Compares to Alternatives

OpenChat 3.5 (0106) by openchat competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.

HuggingFaceH4H
OpenChat 3.5 (0106) vs Zephyr 7B Beta
HuggingFaceH4 • 7B
Metric OpenChat 3.5 (0106) Zephyr 7B Beta
Parameters 7B 7B
Context Window 8K tokens 32K tokens
Open Source Yes Yes
Reasoning — —
Vision / Multimodal — —
MT-Bench 7.8 7.34
HumanEval 71.4% —
MMLU 65.3% —
Where Zephyr 7B Beta wins
Larger context window (32K tokens)
Different provider — diversity in responses
Where OpenChat 3.5 (0106) wins
OpenChat 3.5 (0106) outscores Zephyr 7B Beta on MT-Bench
Verdict: OpenChat 3.5 (0106) and Zephyr 7B Beta serve overlapping needs. Test both free on LITHOVEX AI to find the better fit for your workflow.
OpenChat 3.5 (0106) vs Qwen3 8B
Qwen • 8B
Metric OpenChat 3.5 (0106) Qwen3 8B
Parameters 7B 8B
Context Window 8K tokens 128K tokens
Open Source Yes Yes
Reasoning — Yes
Vision / Multimodal — —
MT-Bench 7.8 —
HumanEval 71.4% 85.6%
MMLU 65.3% 87.5%
Where Qwen3 8B wins
Extended chain-of-thought reasoning
Specialized code generation
Larger context window (128K tokens)
Where OpenChat 3.5 (0106) wins
OpenChat 3.5 (0106) excels in Legacy OpenChat 3.5 deployments
OpenChat 3.5 (0106)'s openchat training gives it distinct strengths
Both are available free on LITHOVEX AI
Verdict: OpenChat 3.5 (0106) and Qwen3 8B serve overlapping needs. Test both free on LITHOVEX AI to find the better fit for your workflow.

Both OpenChat 3.5 (0106) and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.

Download & Self-Host OpenChat 3.5 (0106)

OpenChat 3.5 (0106) is released under MIT, which means you can download and run it on your own hardware. Below are the quickest ways to get started.

Hardware Requirements

Format File Size VRAM RAM
FP16 (Full precision) ~16GB 6GB+ 6GB+
GPTQ / AWQ 4-bit ~8GB 4GB+ 4GB+
GGUF Q4_K_M (CPU-OK) ~4GB CPU-only OK 4GB+

Quick Start — Ollama

# Pull and run OpenChat 3.5 (0106)
ollama pull openchat-3-5-0106
ollama run openchat-3-5-0106

Quick Start — Python / HuggingFace Transformers

# Install and load OpenChat 3.5 (0106)
from
transformers
import
AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("openchat/openchat-3.5-0106")
tokenizer = AutoTokenizer.from_pretrained("openchat/openchat-3.5-0106")
Skip the hardware setup entirely.

LITHOVEX AI runs OpenChat 3.5 (0106) on cloud infrastructure, so you can use it instantly in your browser without downloading anything, configuring drivers, or managing VRAM. Create a free account and start in under 60 seconds.

HuggingFace Model Card Ollama Library

Global Availability & International Use

OpenChat 3.5 gained global community adoption as a practical alternative to GPT-3.5 Turbo for developers and researchers who needed strong aligned performance without API costs. Particularly popular in the global open-source AI community for its exceptional quality-to-cost ratio.

OpenChat 3.5 (0106) — Version History & Updates

OpenChat 3.5 (0106) by openchat has the following version history and notable updates:

January 2024 — OpenChat 3.5 (0106) released by openchat. Initial public release.
As of June 2026 — OpenChat 3.5 (0106) remains actively available on LITHOVEX AI. Check the official openchat page for the latest updates and improvements.

For the complete changelog and latest release notes, visit the official openchat model page.

Frequently Asked Questions — OpenChat 3.5 (0106)

What is OpenChat 3.5 (0106)?
OpenChat 3.5 (0106) is an advanced AI model developed by openchat headquartered in International. Community-trained OpenChat 3.5 — outperforms ChatGPT-3.5 on MT-Bench at just 7B params. Friendly, conversational tone. It uses Dense transformer, with 7B of learned knowledge and supports 8K tokens. As of 2026-10-16, OpenChat 3.5 (0106) is available on LITHOVEX AI with a free account — no API key, no credit card, and no installation required. You can start using it from any modern web browser in under two minutes.
Can I use OpenChat 3.5 (0106) for free on LITHOVEX AI?
Yes — LITHOVEX AI provides free access to OpenChat 3.5 (0106) through a free account. Direct API access from openchat requires billing setup, API key management, and careful token-usage monitoring. LITHOVEX AI removes all those barriers: sign up once with your email address, and you immediately unlock OpenChat 3.5 (0106) alongside 200+ other frontier AI models. Free accounts include generous daily message limits designed for real professional and research workflows.
What are the best use cases for OpenChat 3.5 (0106)?
OpenChat 3.5 (0106) is optimally suited for Legacy OpenChat 3.5 deployments, Research on efficient instruction tuning. openchat designed and trained this model specifically to excel at tasks that require high-quality natural language understanding and generation. Professionals report strong results in .
How large is the context window of OpenChat 3.5 (0106)?
OpenChat 3.5 (0106) supports 8K tokens. A context window determines how much text the model can read and reason over in a single session — from conversation history and code files to legal documents and research papers. This context size covers most professional documents and extended conversations without losing earlier context. The full context window is available on LITHOVEX AI.
What makes OpenChat 3.5 (0106) different from other AI models?
OpenChat 3.5 (0106) stands out because of 7.8 MT-Bench — first 7B to match ChatGPT-3.5 on MT-Bench at January 2024 release. C-RLFT training: outperforms standard RLHF without proprietary preference data. MIT license. Built by openchat, it is trained on a large-scale multilingual dataset using a carefully optimized training pipeline combining large-scale pretraining with instruction tuning and alignment. Its recorded benchmark scores — MT-Bench: 7.8, HumanEval: 71.4%, MMLU: 65.3% — validate its competitive position. These qualities make it a strong choice compared to other frontier models on LITHOVEX AI, particularly for users prioritizing 7.8 MT-Bench — first 7B to match ChatGPT-3.5 on MT-Bench at January 2024 release.
How does OpenChat 3.5 (0106) perform on benchmarks?
OpenChat 3.5 (0106) has been evaluated on independent AI benchmarks with the following results: MT-Bench — 7.8; HumanEval — 71.4%; MMLU — 65.3%. Benchmarks measure specific capabilities: MMLU tests breadth of world knowledge, HumanEval tests Python code generation accuracy, MATH and AIME test mathematical reasoning, and IFEval tests instruction-following reliability. Real-world performance on your specific tasks may differ from controlled benchmark conditions.
Is OpenChat 3.5 (0106) open-source?
Yes — OpenChat 3.5 (0106) is released under the MIT license. This means you can download the model weights, run them locally, fine-tune on your own data, and even use the model commercially (subject to license terms). The MIT is highly permissive and allows commercial use, modification, and redistribution with almost no restrictions. Weights are available on HuggingFace.
What is the architecture of OpenChat 3.5 (0106)?
OpenChat 3.5 (0106) is built on Dense transformer, 7B parameters, C-RLFT fine-tuned from Mistral 7B. This is a dense transformer architecture where all 7B are active for every input token. Dense models provide predictable, consistent quality across all task types. openchat's training pipeline — large-scale pretraining, supervised fine-tuning, and alignment — produces the characteristic capabilities OpenChat 3.5 (0106) is known for.
Is OpenChat 3.5 (0106) safe for enterprise and professional use?
OpenChat 3.5 (0106) has undergone instruction tuning and alignment to reduce harmful, biased, or factually incorrect outputs. For enterprise use: all LITHOVEX AI requests travel over encrypted HTTPS connections. For organizations with strict compliance requirements (HIPAA, SOC 2, GDPR, PDPA), review both openchat's data processing terms and LITHOVEX AI's privacy policy. For workloads involving regulated personal data or proprietary intellectual property, consider a self-hosted deployment using the open model weights (which are available under the MIT license). LITHOVEX AI's free tier is appropriate for professional research, development, and content-generation workflows.
How does OpenChat 3.5 (0106) compare to GPT-4o and Claude?
OpenChat 3.5 (0106) and GPT-4o/Claude compete in different dimensions. GPT-4o excels at multimodal reasoning and has the most extensive ecosystem integrations; Claude models are known for accuracy, long-context coherence, and instruction-following nuance. OpenChat 3.5 (0106) — by openchat — offers 7, which makes it particularly attractive for organizations needing open weights and cost control. The best model for any given task depends on your specific workflow. LITHOVEX AI gives you access to all these models so you can compare them directly on your actual tasks without paying multiple API subscriptions.
What training data was OpenChat 3.5 (0106) trained on?
OpenChat 3.5 (0106) was trained on a large-scale multilingual dataset. The model's knowledge cutoff date is January 2024, meaning it has no information about events after that date unless you provide it in your prompt. Like all large language models, OpenChat 3.5 (0106)'s training data shapes its factual knowledge, language capabilities, and inherent biases. For the most accurate and current information on specific topics, always verify critical facts from authoritative sources.
Can I use OpenChat 3.5 (0106) on mobile?
Yes. LITHOVEX AI is fully responsive and optimized for mobile browsers on iOS and Android. OpenChat 3.5 (0106) runs entirely server-side — your phone only needs a stable internet connection and a modern browser (Chrome, Safari, Firefox). The interface automatically adapts to smaller screens, making it practical for quick tasks, brainstorming, code review, and document analysis from anywhere in the world.
What programming languages does OpenChat 3.5 (0106) support for coding?
OpenChat 3.5 (0106) can assist with common programming languages like Python, JavaScript, and SQL, though it is primarily optimized for Legacy OpenChat 3.5 deployments, Research on efficient instruction tuning. For intensive software engineering workflows, consider pairing it with a code-specialized model available on LITHOVEX AI.
Is there a usage limit when using OpenChat 3.5 (0106) on LITHOVEX AI?
Free accounts on LITHOVEX AI include generous daily message limits designed to accommodate real professional workflows. You will not hit a limit in the middle of a normal working session. Premium accounts (at $40/month) offer higher or unlimited throughput for power users, API builders, and teams with production workloads. Unlike direct API access — which charges per token and requires prepayment — LITHOVEX AI's free tier lets you use OpenChat 3.5 (0106) extensively before committing to any paid plan.
Who built OpenChat 3.5 (0106) and who is openchat?
OpenChat 3.5 (0106) was created by openchat headquartered in International, founded in 2023. openchat is a leading organization in AI research and large language model development. Their team has built expertise across natural language processing, model architecture design, and alignment research. openchat's models are used by researchers, developers, and enterprises worldwide. Their commitment to advancing AI capability while maintaining ... Their work has contributed significantly to the open AI ecosystem, and OpenChat 3.5 (0106) represents one of their most notable contributions.
What alternatives to OpenChat 3.5 (0106) are available on LITHOVEX AI?
LITHOVEX AI offers 200+ AI models. If OpenChat 3.5 (0106) does not perfectly fit your workflow, strong alternatives include other frontier models on LITHOVEX AI. These share similar capabilities but may differ in context window size, speed, parameter count, or task specialization. You can switch between models mid-session on LITHOVEX AI and compare outputs directly — making it easy to find the best model for your specific needs without paying multiple API subscriptions.
Does OpenChat 3.5 (0106) support image or vision inputs?
OpenChat 3.5 (0106) is a text-only model and does not process image inputs. For vision tasks, LITHOVEX AI offers several multimodal alternatives — including Qwen VL, LLaVA, Gemma 3, and IDEFICS2 — all accessible with the same free account.
Can I download OpenChat 3.5 (0106) and run it locally?
Yes — OpenChat 3.5 (0106) is available for download under the MIT license. You can find the model weights on HuggingFace at https://huggingface.co/openchat/openchat-3.5-0106. For local deployment, the easiest method is Ollama — run "ollama pull openchat-3.5-0106" to download and "ollama run" to start it. LM Studio also supports OpenChat 3.5 (0106) for a desktop GUI experience. Hardware requirements depend on the quantization format: FP16 needs 8GB+, while 4-bit quantized GGUF files run with lower VRAM. For users who don't want to manage local hardware, LITHOVEX AI provides free cloud access to OpenChat 3.5 (0106) with no setup required.
How much does OpenChat 3.5 (0106) cost to use?
On LITHOVEX AI, OpenChat 3.5 (0106) is free — create a free account and start chatting with no credit card required. Through official channels, MIT — free. For most individual users, researchers, and small teams, LITHOVEX AI's free tier provides sufficient access. Enterprise teams needing higher throughput or API integration can upgrade to LITHOVEX AI Premium at $40/month, which unlocks all 200+ models with high-volume access.

Open-source AI at its finest — use OpenChat 3.5 (0106) free on LITHOVEX AI.

OpenChat 3.5 (0106) is openly licensed and available for anyone to use. LITHOVEX AI removes all the setup friction — one free account, instant access.

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