about
The June 2023 snapshot was the first GPT-4 checkpoint to support function calling, 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)128000
Use cases for GPT-4 0613
- 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.
- 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.
- 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.
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 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 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 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.
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.
| Organization | Model Name | Tasks | Languages Supported | Context Length | Parameters | Model Tier | License |
|---|---|---|---|---|---|---|---|
| deepseek-ai | DeepSeek-R1-Distill-Qwen-14B | text generation | English | 43,000 | 14.8B | medium | deepseek |
| fixie-ai | ultravox-v0_4_1-llama-3_1-8b | audio text-to-text | Multilingual | 8,000 | 8.7B | small | mit |
| gemma-2b-it | text generation | English | 8,192 | 2.5B | small | gemma | |
| gemma-7b-it | text generation | English | 8,192 | 8.5B | small | gemma | |
| meta-llama | Llama-3.3-70B-Instruct | text generation | Multilingual | 99,000 | 70.6B | large | llama3.3 |
| meta-llama | Llama-Guard-3-1B | safety classification | Multilingual | 128,000 | 1.5B | small | llama3.3 |
| meta-llama | Meta-Llama-3.1-70B-Instruct | text generation | Multilingual | 99,000 | 70.6B | large | llama3.1 |
| meta-llama | Meta-Llama-3.1-8B-Instruct | text generation | Multilingual | 131,072 | 8.0B | small | llama3.1 |
| minimaxai | MiniMax-M2.5 | text generation | English | 2,000,000 | 0 | large | minimaxai |
| mistralai | Mistral-7B-Instruct-v0.1 | text generation | English | 8,192 | 7.2B | small | apache-2.0 |
| mistralai | Mistral-7B-Instruct-v0.2 | text generation | English | 32,768 | 7.2B | small | apache-2.0 |
| mistralai | Mixtral-8x7B-Instruct-v0.1 | text generation | Multilingual | 32,768 | 46.7B | medium | apache-2.0 |
| moonshotai | Kimi-K2.5 | text generation | English | 256,000 | 1.0T | large | modified-mit |
| Qwen | Qwen3-235B-A22B | text generation | English | 32,768 | 235.1B | large | apache-2.0 |
| zai-org | GLM-5 | text generation | English | 202,752 | 753.9B | large | mit |
| anthropic | claude-3-7-sonnet-latest | text generation | Multilingual | 200,000 | 0 | large | anthropic |
| anthropic | claude-haiku-4-5 | text generation | Multilingual | 200,000 | 0 | large | anthropic |
| anthropic | claude-opus-4-6 | text generation | Multilingual | 200,000 | 0 | large | anthropic |
| anthropic | claude-sonnet-4-20250514 | text generation | Multilingual | 200,000 | 0 | large | anthropic |
| gemini-2.0-flash | text generation | Multilingual | 1,048,576 | 0 | large | ||
| gemini-2.5-flash | text generation | Multilingual | 1,048,576 | 0 | large | ||
| gemini-2.5-flash-lite | text generation | Multilingual | 1,048,576 | 0 | large | ||
| groq | gpt-oss-120b | text generation | English | 131,072 | 117.0B | large | groq |
| groq | kimi-k2-instruct | text generation | English | 131,072 | 1.0T | large | groq |
| groq | llama-3.3-70b-versatile | text generation | Multilingual | 131,072 | 70.6B | large | llama3.3 |
| groq | llama-4-maverick-17b-128e-instruct | text generation | Multilingual | 1,000,000 | 400.0B | large | llama4 |
| groq | llama-4-scout-17b-16e-instruct | text generation | Multilingual | 128,000 | 109.0B | large | llama4 |
| openai | gpt-3.5-turbo | text generation | Multilingual | 4,096 | 0 | large | openai |
| openai | gpt-4 | text generation | Multilingual | 128,000 | 0 | large | openai |
| openai | gpt-4-0125-preview | text generation | Multilingual | 128,000 | 0 | large | openai |
| openai | gpt-4-0314 | text generation | Multilingual | 128,000 | 0 | large | openai |
| openai | gpt-4-0613 | text generation | Multilingual | 128,000 | 0 | large | openai |
| openai | gpt-4-1106-preview | text generation | Multilingual | 128,000 | 0 | large | openai |
| openai | gpt-4-32k-0314 | text generation | Multilingual | 128,000 | 0 | large | openai |
| openai | gpt-4-turbo-preview | text generation | Multilingual | 128,000 | 0 | large | openai |
| openai | gpt-4.1 | text generation | Multilingual | 1,047,576 | 0 | large | openai |
| openai | gpt-4.1-mini | text generation | Multilingual | 1,047,576 | 0 | large | openai |
| openai | gpt-4o | text generation | Multilingual | 128,000 | 0 | large | openai |
| openai | gpt-4o-mini | text generation | Multilingual | 128,000 | 0 | large | openai |
| openai | gpt-5 | text generation | Multilingual | 400,000 | 0 | large | openai |
| openai | gpt-5-mini | text generation | Multilingual | 400,000 | 0 | large | openai |
| openai | gpt-5.1 | text generation | Multilingual | 400,000 | 0 | large | openai |
| openai | gpt-5.2 | text generation | Multilingual | 400,000 | 0 | large | openai |
| openai | o1-mini | text generation | Multilingual | 128,000 | 0 | large | openai |
| openai | o1-preview | text generation | Multilingual | 128,000 | 0 | large | openai |
| openai | o3-mini | text generation | Multilingual | 200,000 | 0 | large | openai |
| xai-org | grok-2 | text generation | Multilingual | 131,072 | 0 | large | xai |
| xai-org | grok-2-latest | text generation | Multilingual | 131,072 | 0 | large | xai |
| xai-org | grok-3 | text generation | Multilingual | 131,072 | 0 | large | xai |
| xai-org | grok-3-beta | text generation | Multilingual | 131,072 | 0 | large | xai |
| xai-org | grok-3-fast | text generation | Multilingual | 131,072 | 0 | large | xai |
| xai-org | grok-3-fast-beta | text generation | Multilingual | 131,072 | 0 | large | xai |
| xai-org | grok-3-fast-latest | text generation | Multilingual | 131,072 | 0 | large | xai |
| xai-org | grok-3-latest | text generation | Multilingual | 131,072 | 0 | large | xai |
| xai-org | grok-3-mini | text generation | Multilingual | 131,072 | 0 | large | xai |
| xai-org | grok-3-mini-fast | text generation | Multilingual | 131,072 | 0 | large | xai |
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faqs
What is GPT-4 0613?
GPT-4 0613 is the June 2023 snapshot of OpenAI's GPT-4 model. It introduced function calling support and offered improved inference speed over the 0314 snapshot, with an 8,192-token context window for text and image inputs.
Is GPT-4 discontinued?
The 0613 snapshot has been deprecated by OpenAI. Users should migrate to newer models like GPT-4o or GPT-4.1 for continued support and improved performance.
Why are they getting rid of GPT-4?
OpenAI is streamlining its model lineup by retiring older snapshots in favor of models that offer better performance at lower cost. GPT-4o and GPT-4.1 replace the functionality of older GPT-4 variants while adding multimodal capabilities and larger context windows.
What is the GPT-4 model version?
GPT-4 was released in multiple versions: 0314 (March 2023), 0613 (June 2023), and Turbo variants (1106 and 0125 previews). Each snapshot frozen the model at a specific point. The full GPT-4 model history is documented in OpenAI's release notes.
Is GPT-4 getting dumber?
Some users reported perceived quality regressions between GPT-4 snapshots, particularly between 0314 and 0613. Research has shown that model behavior can shift between snapshots due to fine-tuning adjustments, though OpenAI has stated each version aims to improve overall performance.