---
title: GPT-4 1106 Preview—A review of performance and quality
canonical: https://telnyx.com/llm-library/gpt-4-1106-preview
---
# GPT-4 1106 Preview—A review of performance and quality

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GPT-4 1106 Preview—A review of performance and quality

# GPT-4 1106 Preview

The November 2023 GPT-4 Turbo preview featuring a 128k context window, JSON mode, and improved instruction-following for complex generation tasks.

[Start building](https://telnyx.com/sign-up)[GET Available Models](https://developers.telnyx.com/docs/inference/models)

## about

Announced at OpenAI DevDay in November 2023, this preview expanded [GPT-4's context window from 8K to 128K tokens](https://developers.openai.com/docs/models/gpt-4-turbo) while cutting input pricing by 3x. It introduced JSON mode, parallel function calling, and reproducible outputs via a seed parameter, though it was widely noted for a "laziness" problem where the model would truncate code or respond with "rest remains the same."

Licenseopenai

Context window(in thousands)

## Explore Our LLM Library

Discover the power and diversity of large language models available with Telnyx. Explore the options below to find the perfect model for your project.

### DeepSeek-V4-Flash-0731

OrganizationTelnyx

Model NameDeepSeek-V4-Flash-0731

Taskstext generation

Languages SupportedEnglish

Context Length1,048,576

Parameters284.0B

Model Tierunlisted

Licensemit

### DeepSeek-V4.1-Flash

### gemma-2b-it

### gemma-4-26B-A4B-it

### gemma-4-31B-it

### Llama-3.3-70B-Instruct

### Meta-Llama-3.1-70B-Instruct

### Meta-Llama-3.1-8B-Instruct

### MiniMax-M2.7

### MiniMax-M3-MXFP8

### Kimi-K2.5

### Kimi-K2.6

### Kimi-K3

### Qwen3-235B-A22B

### Qwen3.8-27B

### GLM-5.1-FP8

### GLM-5.2

### GLM-5.3

### GLM-5.3-Flash

### claude-haiku-4-5

### gemini-2.5-flash

### gemini-3.7-flash

### gpt-oss-120b

### gpt-4.1

### gpt-4o

### gpt-4o-mini

### gpt-5

### gpt-5.1

### gpt-5.2

### gpt-5.4

### gpt-5.4-mini

### gpt-5.6-luna

### gpt-5.6-sol

### gpt-live-1

HOW IT WORKS

## Selecting LLMs for Voice AI

[GET Available Models](https://developers.telnyx.com/docs/inference/models)

### Create an account

Sign-up to the Telnyx platform to get access to our suite of intuitive AI tools.

### Choose GPT-4 1106 Preview

In the [AI Playground](https://portal.telnyx.com/#/app/next/ai/ai-playground "Telnyx AI Playground") select GPT-4 1106 Preview from the dropdown.

### Enter your API key

If you’re using a proprietary model, you’ll need your API key before prompting the LLM. Our vast selection of OS models allow you to get started right away.

### Prompt the LLM

Get responses from an LLM in minutes, and scale with our [OpenAI-compatible APIs](https://developers.telnyx.com/docs/inference/getting-started "Inference API Quickstart").

Step 1/4

**RESOURCES**

## Get started

Check out our helpful tools to help get you started.

* ### Test in the portal  
Easily browse and select your preferred model in the AI Playground.  
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## Sign up and start building

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## faqs

### What is the difference between GPT-4 Turbo and GPT-4 Turbo 1106?

GPT-4 Turbo 1106 Preview was the first release of GPT-4 Turbo in November 2023, introducing the 128K context window and JSON mode. The [0125 snapshot](https://telnyx.com/llm-library/gpt-4-0125-preview) later fixed issues with format-following and added improved code generation.

### Is GPT-4 discontinued?

OpenAI is deprecating individual GPT-4 snapshots as newer models supersede them. The [1106 preview](https://telnyx.com/llm-library/gpt-4-1106-preview) remains available but OpenAI recommends migrating to GPT-4o or GPT-4.1 for new projects.

### What is the difference between GPT-4 and o1 Preview?

GPT-4 is a general-purpose language model, while o1 Preview is a reasoning-focused model that uses internal chain-of-thought before responding. The  excels at broad tasks, while o1 is better for math, science, and complex analytical problems.

128000

## Use cases for GPT-4 1106 Preview

1. **Book-length document analysis:** The 128K context window processes full manuscripts, regulatory filings, or codebases in a single prompt for comprehensive analysis without chunking.
2. **Guaranteed JSON extraction:** JSON mode ensures structurally valid output for data pipelines, eliminating the parsing failures that plagued earlier GPT-4 versions.
3. **Reproducible content generation:** The seed parameter delivers deterministic outputs for applications requiring audit trails, regression testing, or consistent baseline comparisons.

## Quality

Arena Elo1251

MMLUN/A

MT Bench9.32

GPT-4 1106 preview maintains the 86.5% MMLU (5-shot) baseline of the GPT-4 Turbo family while adding a 128K context window, JSON mode, and parallel function calling. Its Arena ELO of 1,251 places it above GPT-4 (1,165) but below GPT-4o (1,316) on the same sheet, reflecting incremental improvements in chat quality beyond what MMLU captures.

**GPT-4 Omni**

1316

**Claude-3-7-Sonnet-Latest**

1268

**GPT-4 1106 Preview**

1251

**Llama-4-Scout-Instruct**

1250

**Llama 3.1 70B Instruct**

1248

## pricing

The cost per 1,000 tokens for running the model with Telnyx Inference is $0.0010\. For instance, analyzing 1,000,000 customer chats, assuming each chat is 1,000 tokens long, would cost $1,000.

## What's Twitter saying?

* **Mixed coding performance**: [While GPT-4 Turbo showed faster inference,](https://telnyx.com/llm-library/gpt-4-1106-preview) coding benchmarks revealed trade-offs—GPT-4 solved 86 out of 122 tasks on the first attempt compared to GPT-4 Turbo's 56, though GPT-4 Turbo improved significantly on second attempts with 28 successes versus GPT-4's 10.
* **Quality concerns despite claims**: [Some developers reported that GPT-4-1106-preview generated](https://blog.galaxy.ai/compare/gpt-4-1106-preview-vs-gpt-4-turbo-preview) consistently worse content than the previous GPT-3.5-turbo model, questioning whether this was due to the model's "not yet suited for production traffic" status or other factors.
* **Latency and responsiveness issues**: [Users on social media reported significant](https://the-decoder.com/openai-gpt-4-turbo-early-benchmarks-show-mixed-performance/) latency problems with GPT-4-Turbo (1106-Preview), noting it was slower than the original GPT-4, and some observed that Azure deployments returned noticeably shorter and less detailed responses compared to OpenAI's direct API.

| Organization | Model Name                                                              | Tasks            | Languages Supported | Context Length | Parameters | Model Tier | License           |
| ------------ | ----------------------------------------------------------------------- | ---------------- | ------------------- | -------------- | ---------- | ---------- | ----------------- |
| Telnyx       | DeepSeek-V4-Flash-0731                                                  | text generation  | English             | 1,048,576      | 284.0B     | unlisted   | mit               |
| Telnyx       | DeepSeek-V4.1-Flash                                                     | text generation  | English             | 1,048,576      | 552.0B     | small      | mit               |
| google       | [gemma-2b-it](https://telnyx.com/llm-library/gemma-2b-it)                                 | text generation  | English             | 8,192          | 2.5B       | small      | gemma             |
| google       | gemma-4-26B-A4B-it                                                      | text to-text     | Multilingual        | 262,144        | 25.8B      | small      | apache-2.0        |
| google       | gemma-4-31B-it                                                          | text generation  | Multilingual        | 131,072        | 30.7B      | small      | apache-2.0        |
| meta-llama   | [Llama-3.3-70B-Instruct](https://telnyx.com/llm-library/llama-3.3-70b-instruct)           | text generation  | Multilingual        | 99,000         | 70.6B      | large      | llama3.3          |
| meta-llama   | [Meta-Llama-3.1-70B-Instruct](https://telnyx.com/llm-library/meta-llama-3-1-70b-instruct) | text generation  | Multilingual        | 99,000         | 70.6B      | large      | llama3.1          |
| meta-llama   | [Meta-Llama-3.1-8B-Instruct](https://telnyx.com/llm-library/meta-llama-3.1-8b-instruct)   | text generation  | Multilingual        | 131,072        | 8.0B       | small      | llama3.1          |
| minimaxai    | MiniMax-M2.7                                                            | text generation  | Multilingual        | 200,000        | 0          | large      | minimaxai         |
| minimaxai    | MiniMax-M3-MXFP8                                                        | text generation  | Multilingual        | 1,000,000      | 428.0B     | small      | minimax-community |
| moonshotai   | [Kimi-K2.5](https://telnyx.com/llm-library/kimi-k2.5)                                     | text generation  | Multilingual        | 256,000        | 1.0T       | large      | modified-mit      |
| moonshotai   | Kimi-K2.6                                                               | text generation  | Multilingual        | 262,144        | 1.0T       | medium     | modified-mit      |
| moonshotai   | Kimi-K3                                                                 | text generation  | English             | 1,000,000      | 2.8M       | large      | MIT Modified      |
| Qwen         | [Qwen3-235B-A22B](https://telnyx.com/llm-library/qwen3-235b-a22b)                         | text generation  | English             | 32,768         | 235.1B     | large      | apache-2.0        |
| Telnyx       | Qwen3.8-27B                                                             | text generation  | English             | 262,144        | 27.0B      | small      | Apache 2.0        |
| zai-org      | GLM-5.1-FP8                                                             | text generation  | Multilingual        | 202,752        | 753.9B     | large      | mit               |
| zai-org      | GLM-5.2                                                                 | text generation  | English             | 1,000,000      | 753.9B     | medium     | MIT               |
| Telnyx       | GLM-5.3                                                                 | text generation  | English             | 1,048,576      | 753.0B     | medium     | glm-5.3           |
| zai-org      | GLM-5.3-Flash                                                           | text generation  | English             | 1,048,576      | 320.0B     | small      | mit               |
| anthropic    | [claude-haiku-4-5](https://telnyx.com/llm-library/claude-haiku-4-5)                       | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| google       | [gemini-2.5-flash](https://telnyx.com/llm-library/gemini-2.5-flash)                       | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| google       | gemini-3.7-flash                                                        | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| groq         | [gpt-oss-120b](https://telnyx.com/llm-library/gpt-oss-120b)                               | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| openai       | gpt-4.1                                                                 | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| openai       | [gpt-4o](https://telnyx.com/llm-library/gpt-4-omni)                                       | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| openai       | [gpt-4o-mini](https://telnyx.com/llm-library/gpt-4o-mini)                                 | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| openai       | gpt-5                                                                   | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| openai       | gpt-5.1                                                                 | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| openai       | [gpt-5.2](https://telnyx.com/llm-library/gpt-5.2)                                         | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| openai       | gpt-5.4                                                                 | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| openai       | gpt-5.4-mini                                                            | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| openai       | gpt-5.6-luna                                                            | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| openai       | gpt-5.6-sol                                                             | text generation  | Multilingual        | 400,000        | 0          | large      | openai            |
| openai       | gpt-live-1                                                              | speech to-speech | Multilingual        | 400,000        | 0          | large      | openai            |

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Don’t wait to scale, start today with our public API endpoints.  
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* ### Stay up to date  
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[See updates](https://telnyx.com/release-notes)

1106 preview

### How much is GPT-4 Preview?

GPT-4 Turbo 1106 Preview is priced at $10 per million input tokens and $30 per million output tokens. This is roughly [one-third the cost of the original GPT-4](https://telnyx.com/llm-library/gpt-4-0125-preview) while offering a larger context window and additional features.

### What did GPT-4 1106 Preview introduce?

The 1106 snapshot introduced the 128K context window, JSON mode for structured outputs, parallel function calling, and improved instruction following. These features made it the [foundation for GPT-4 Turbo](https://telnyx.com/llm-library/gpt-4-1106-preview) and influenced subsequent model releases.

### Is GPT-4 1106 Preview still worth using?

GPT-4 1106 Preview is functional but has been superseded by the [0125 snapshot](https://telnyx.com/llm-library/gpt-4-0125-preview), GPT-4o, and GPT-4.1\. Unless you have a specific reason to pin to this version, migrating to a newer model will give you better results at equal or lower cost.