--- title: GPT-4 0125 Preview—Performance and quality overview canonical: https://telnyx.com/llm-library/gpt-4-0125-preview --- # GPT-4 0125 Preview—Performance and quality overview [Start building](https://telnyx.com/sign-up) ### Ask AI * [![GPT](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/chatgpt_icon-ea55e09d.jpeg?width=92&format=webp)](https://chat.openai.com/?q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Claude](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/claude_icon-c7c8eef3.webp?width=92&format=webp)](https://claude.ai/new?q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Perplexity](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/perplexity_icon-cd5b74f1.webp?width=92&format=webp)](https://www.perplexity.ai/search?q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Gemini](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/gemini_icon-4ff1cbf4.webp?width=92&format=webp)](https://www.google.com/search?udm=50&aep=11&q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Grok](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/grok_icon-e588e5bd.webp?width=92&format=webp)](https://x.com/i/grok?text=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) GPT-4 0125 Preview—Performance and quality overview # GPT-4 0125 Preview The January 2024 GPT-4 Turbo preview with a 128k context window, improved instruction-following, and reduced laziness in code generation tasks. [Start building](https://telnyx.com/sign-up)[GET Available Models](https://developers.telnyx.com/docs/inference/models) ## about OpenAI released this January 2024 [GPT-4 Turbo snapshot](https://developers.openai.com/docs/models/gpt-4-turbo) specifically to address the "laziness" problem where the prior 1106-preview would truncate code outputs or respond with "rest remains the same." It also fixed a UTF-8 encoding bug in non-English function calls and improved format-following compliance, serving as the last preview before the April 2024 general availability release. 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 0125 Preview In the [AI Playground](https://portal.telnyx.com/#/app/next/ai/ai-playground "Telnyx AI Playground") select GPT-4 0125 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. [Test today](https://portal.telnyx.com/#/ai/assistants) ## Sign up and start building [Sign up](https://telnyx.com/sign-up)[Contact sales](https://telnyx.com/contact-us) ## faqs ### What is GPT-4 0125 Preview? GPT-4 0125 Preview is the January 2024 snapshot of GPT-4 Turbo, fixing format-following issues from the 1106 release and improving code generation. It is available through [Telnyx](https://telnyx.com/llm-library/gpt-4-0125-preview) and OpenAI's API. ### Is GPT-4 Vision Preview deprecated? GPT-4 Vision has been folded into GPT-4o and GPT-4.1, which support vision natively. The standalone vision preview is being deprecated in favor of [multimodal successors](https://telnyx.com/llm-library/gpt-4-turbo-preview). ### Why is GPT-4 going away? OpenAI is consolidating older snapshots as GPT-4o and GPT-4.1 supersede them. The remains available but migration to newer models is recommended. 128000 ## Use cases for GPT-4 0125 Preview 1. **Reliable code generation:** OpenAI specifically addressed the "laziness" problem from the 1106 preview, making this snapshot produce complete implementations instead of truncating with "rest remains the same." 2. **128K-context codebase analysis:** The full 128K window processes large repositories, documentation sets, or log files for cross-file analysis, dependency mapping, and root-cause investigation. 3. **Format-precise structured output:** Improved accuracy on requested output formats (JSON, YAML, XML) makes it suited for data extraction pipelines that require valid structured output without retry loops. ## Quality Arena Elo1245 MMLUN/A MT Bench9.15 GPT-4 0125 preview shares the \~86.5% MMLU baseline of the GPT-4 Turbo family on the sheet, with its primary improvement being reduced code generation laziness compared to the 1106 preview. Its Arena ELO of 1,245 is close to the 1106 preview (1,251), confirming that the update was a reliability fix rather than a capability upgrade. It was the final preview before the GA GPT-4 Turbo release in April 2024. **Llama-4-Scout-Instruct** 1250 **Llama 3.1 70B Instruct** 1248 **GPT-4 0125 Preview** 1245 **Llama 3 Instruct 70B** 1206 **GPT-4 0314** 1186 ## pricing The cost per 1,000 tokens for running the model with Telnyx Inference is $0.0010\. To put this into perspective, if an organization were to analyze 1,000,000 customer chats, assuming each chat contains 100 tokens, the total cost would be $100. ## What's Twitter saying? * Developers report **GPT-4 Turbo 0125-preview is lazier at coding** than prior GPT-4 versions, underperforming on benchmarks like Aider's lazy coding suite despite OpenAI's intent to fix laziness. * Users note **slower response speeds** compared to GPT-4-0613 or GPT-3.5 Turbo, with token rates dropping to \~9 tps in tests versus higher on older models. * Community observes **weaker logic reasoning** than GPT-4-0314, requiring prompt rewrites for consistent results, though it's more stable and cheaper. | 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 | * ### Explore the docs Don’t wait to scale, start today with our public API endpoints. [Get started](https://developers.telnyx.com/api-reference/assistants/list-assistants) * ### Stay up to date Keep an eye on our AI changelog so you don't miss a beat. [See updates](https://telnyx.com/release-notes) 0125 preview ### How does 0125 compare to 1106 Preview? The 0125 snapshot fixed lazy formatting issues in the 1106 release and improved code generation accuracy. Both share the 128K context window and JSON mode, but [0125 is more reliable](https://telnyx.com/llm-library/gpt-4-0125-preview) for structured output. ### How much does GPT-4 0125 cost? GPT-4 0125 Preview is priced at $10 per million input tokens and $30 per million output tokens. Newer models like GPT-4o offer [better performance at lower pricing](https://telnyx.com/llm-library/gpt-4-turbo-preview). ### Is GPT-4 0125 Preview still worth using? GPT-4 0125 Preview has been superseded by GPT-4o, GPT-4.1, and GPT-5\. Unless you need to pin to this specific version, [upgrading](https://telnyx.com/llm-library/gpt-4-0125-preview) will give better results at lower cost.