--- title: GPT-4 0613—Performance and quality analysis canonical: https://telnyx.com/llm-library/gpt-4-0613 --- # GPT-4 0613—Performance and quality analysis [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 0613—Performance and quality analysis # GPT-4 0613 The June 2023 snapshot of GPT-4 with function calling support, offering improved speed and reliable performance for structured API interactions. [Start building](https://telnyx.com/sign-up)[GET Available Models](https://developers.telnyx.com/docs/inference/models) ## about The June 2023 snapshot was the first [GPT-4 checkpoint to support function calling](https://developers.openai.com/docs/models/gpt-4), introducing structured JSON output for tool use through a dedicated API parameter. Many enterprises pinned to this exact version for reproducibility, making it the de facto stable GPT-4 reference point throughout 2023 with its 8K context window and September 2021 training cutoff. 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 ### NVIDIA-NemotronLabs-VoiceChat-11B ### 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-6-luna ### 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 0613 In the [AI Playground](https://portal.telnyx.com/#/app/next/ai/ai-playground "Telnyx AI Playground") select GPT-4 0613 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 0613? GPT-4 0613 is the June 2023 snapshot of OpenAI's GPT-4, notable for introducing function calling support. It is available through [Telnyx's inference platform](https://telnyx.com/llm-library/gpt-4-0613) and OpenAI's API. ### Why is GPT-4 being removed? OpenAI is deprecating older GPT-4 snapshots as newer models like GPT-4o and GPT-4.1 provide better performance at lower cost. The [0613 snapshot](https://telnyx.com/llm-library/gpt-4-omni) will eventually be retired in favor of these successors. ### Is GPT-4 gone forever? The GPT-4 family is not gone, but individual snapshots like 0613 are being phased out. GPT-4o and GPT-4.1 carry forward GPT-4's capabilities with . 128000 ## Use cases for GPT-4 0613 1. **Structured API integration:** As the first GPT-4 with native function calling, the 0613 snapshot converts conversational requests into typed JSON function calls for reliable tool orchestration. 2. **Enterprise-grade stability:** Widely adopted as the "stable" GPT-4 checkpoint, it provides deterministic, well-characterized behavior for production systems that require predictable output across months of deployment. 3. **Professional-grade reasoning:** Scoring in the 90th percentile on the Bar Exam and supporting image input, it handles complex analytical tasks in law, medicine, and engineering that require multimodal understanding. ## Quality Arena Elo1163 MMLUN/A MT Bench9.18 GPT-4 0613 shares the 86.4% MMLU (5-shot) and 8.99 MT-Bench of the GPT-4 family, with function calling as its primary addition over the 0314 snapshot on the same sheet. Its Arena ELO of 1,163 is close to the 0314 (1,186), with the slight difference likely reflecting evaluation timing rather than capability changes. It became the most widely adopted GPT-4 checkpoint for enterprise production systems. **GPT-4 0314** 1186 **GPT-4** 1165 **GPT-4 0613** 1163 **Llama 3 Instruct 8B** 1152 **Claude-Sonnet-4-20250514** 1138 ## pricing The cost for utilizing this model with Telnyx Inference is $0.0010 per 1,000 tokens. For instance, analyzing 1,000,000 customer chats, assuming each chat is 1,000 tokens long, would cost $1,000. ## What's Twitter saying? * **Strong performance on specific tasks**: [GPT-4 0613 is particularly praised for](https://anotherwrapper.com/tools/llm-pricing/gpt-4-0613/o1) generating and translating programming code between languages, and demonstrates exceptional legal reasoning capabilities compared to newer preview models like GPT-4 Turbo. * **Mixed quality perceptions**: [Some developers report perceived performance regressions](https://telnyx.com/llm-library/gpt-4-0613) compared to earlier GPT-4 snapshots, with anecdotal complaints about worse reasoning on non-function-call tasks, though the model performs equally well and much faster on function calls. * **Cost-effective value proposition**: [GPT-4 0613 offers strong benchmarks (Arena](https://news.ycombinator.com/item?id=36414123) Elo of 1163) while maintaining a significantly lower relative price compared to GPT-3.5 models across various input-output ratios, making it an economical choice for many use cases. | 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 | NVIDIA-NemotronLabs-VoiceChat-11B | speech to-speech | English | 8,192 | 11.1B | medium | openmdw-1.1 | | 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-6-luna | text generation | Multilingual | 1,050,000 | 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) significant improvements ### What did GPT-4 0613 introduce? The 0613 snapshot was the first GPT-4 version to support function calling, enabling structured tool integration. This feature became foundational for [agent-based applications](https://telnyx.com/llm-library/gpt-4-0613) and is now standard across all OpenAI models. ### Is GPT-4 0613 still worth using? GPT-4 0613 has been surpassed by GPT-4o, GPT-4.1, and GPT-5 on all major benchmarks. For new projects, [migrating to a newer model](https://telnyx.com/llm-library/gpt-4-omni) is strongly recommended. ### How much does GPT-4 0613 cost? GPT-4 0613 is priced at $30 per million input tokens and $60 per million output tokens, making it one of the most expensive options. [Newer models](https://telnyx.com/llm-library/gpt-4-0613) offer significantly better value.