--- title: GPT-4—Performance and quality evaluation canonical: https://telnyx.com/llm-library/gpt-4 --- # GPT-4—Performance and quality evaluation [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 OpenAI's multimodal model with human-level performance on professional benchmarks, supporting text and image inputs with strong reasoning across complex tasks. [Start building](https://telnyx.com/sign-up)[GET Available Models](https://developers.telnyx.com/docs/inference/models) ## about Widely reported as a mixture-of-experts architecture with roughly 1.8 trillion total parameters across 16 experts, [GPT-4](https://developers.openai.com/docs/models/gpt-4) scored in the 86th percentile on the Uniform Bar Exam compared to the 10th percentile for GPT-3.5\. It launched at 60x the cost of GPT-3.5 Turbo and shipped without vision or function calling, both of which were added in later snapshots. 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 ### personaplex-7b-v1 ### Laguna-S-2.1 ### 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 In the [AI Playground](https://portal.telnyx.com/#/app/next/ai/ai-playground "Telnyx AI Playground") select GPT-4 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 ### Can I use GPT-4 for free? GPT-4 is available with usage limits in ChatGPT's free tier. API access requires a paid OpenAI account, though [inference platforms](https://telnyx.com/llm-library/gpt-4-32k) offer alternative access with usage-based pricing. ### What does GPT-4 stand for? GPT-4 stands for Generative Pre-trained Transformer 4, the fourth generation of OpenAI's foundational language model series. The architecture was [first described in OpenAI's research](https://openai.com/index/gpt-4-research/) publication in March 2023. 128000 ## Use cases for GPT-4 1. **Professional exam preparation:** Scoring in the 90th percentile on the Uniform Bar Exam and 99th on the Biology Olympiad, GPT-4 generates and evaluates practice questions at professional certification level. 2. **Multimodal document analysis:** Its ability to accept image inputs alongside text makes it suited for interpreting charts, diagrams, and screenshots within analytical workflows. 3. **Complex multi-step reasoning:** With 8K context and strong performance on graduate-level benchmarks, it handles chain-of-thought problems in law, medicine, and engineering that require sustained logical inference. ## Quality Arena Elo1165 MMLU86 MT Bench9.18 GPT-4 scores 86.4% on MMLU (5-shot) and 8.99 on MT-Bench, a 16-point MMLU improvement over GPT-3.5 Turbo (70.0%) on the same sheet. It passes the Uniform Bar Exam in the 90th percentile and scores in the 99th percentile on the Biology Olympiad. These benchmark results established the quality baseline that subsequent models on the sheet are measured against. **Llama 3 Instruct 70B** 1206 **GPT-4 0314** 1186 **GPT-4** 1165 **GPT-4 0613** 1163 **Llama 3 Instruct 8B** 1152 ## pricing The cost of running the model with Telnyx Inference is $1.00 per 1,000 tokens. For instance, analyzing 1,000,000 customer chats, assuming each chat is 10 tokens long, would require 10,000,000 tokens. Therefore, the total cost would be $10,000. ## What's Twitter saying? * Developers praise **GPT-4's coding prowess**, noting it generates high-quality code, excels in benchmarks like HumanEval (86.6%), and boosts productivity for tasks in Python, C, and even Agda proofs. * Users highlight **improved reasoning and speed** over GPT-3.5, with top-10 bar exam performance, better structured outputs, and multitasking efficiency, though some note slower responses during peak times. * Common critiques include **persistent hallucinations** and lack of full trust, as it invents facts, requires precise prompting, and underperforms on hard LeetCode problems without iteration. | 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 | | nvidia | personaplex-7b-v1 | speech to-speech | English | 3,000 | 7.0B | small | nvidia-open-model-license | | poolside | Laguna-S-2.1 | text generation | English | 1,048,576 | 117.6B | unlisted | OpenMDW-1.1 | | 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) ### Is GPT-4 discontinued? OpenAI is gradually deprecating older GPT-4 snapshots (0314, 0613) as newer models supersede them. The [GPT-4 family](https://telnyx.com/llm-library/gpt-4-omni) has been largely replaced by GPT-4o, GPT-4.1, and GPT-5 for new projects. ### What is the difference between ChatGPT and GPT-4? ChatGPT is the consumer product interface, while GPT-4 is the underlying language model. ChatGPT can use various models including GPT-4, GPT-4o, and GPT-5, and adds features like [web browsing and tool use](https://telnyx.com/llm-library/gpt-4-turbo-preview) on top of the base model capabilities. ### What does GPT stand for? GPT stands for Generative Pre-trained Transformer, a neural network architecture that generates text by predicting the next token in a sequence. The "pre-trained" component refers to [training on large text corpora](https://en.wikipedia.org/wiki/GPT-4) before fine-tuning for specific tasks. ### Is GPT-4 free to use? GPT-4 is accessible in ChatGPT's free tier with usage caps. For production workloads, the API is paid, and [inference providers](https://telnyx.com/llm-library/gpt-4-32k) offer hosted access with their own pricing models. GPT-4—Performance and quality evaluation