Omni-era GPT for multimodal chat, practical coding, and general assistants
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Omni-era GPT for multimodal chat, practical coding, and general assistants
It identifies the model family as gpt and describes open weights as not indicated as available. These fields are useful for narrowing a shortlist, but the linked primary source remains the reference for any current release or policy change.
GPT-4o accepts text, image, pdf and returns text according to the registry. That makes the model a potential fit only where those interface assumptions match the product workflow. A team should test its own file types, tool schema, safety settings, and deployment constraints rather than assuming that a listed modality works identically in every provider surface.
The listed context window is 128,000 tokens, with a listed maximum output of 16,384 tokens. The source declares tool calling, file attachments, temperature control, structured output. Those flags describe an interface surface; they are not evidence of response quality, speed, tool reliability, or availability.
The linked publisher results describe specific tests and settings. Use them alongside a trial of the prompts, tools and files your application needs.
Use inputs that resemble deployment traffic, including difficult and out-of-domain cases. Compare output correctness, the response format, latency and memory requirements with a simple baseline under the same conditions.
Explore OpenAI models and the any-to-any collection. Use the comparison tool to inspect a second candidate.
Compare the model on the work you need to complete.
GPT-4o is listed for Any-to-any, Image-text-to-text, Image-to-text, Text generation, Text-to-text AI models. It accepts text, image, pdf and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 128K context and 16.38K maximum output. The listed route charges $2.50 input and $10.00 output per million tokens. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
google/gemma-4-E2B-it is a source-linked Hugging Face repository assigned to Any-to-any. Its recorded task interface accepts text, image, audio, video and produces text, image, audio, video.
google/gemma-4-E4B-it is a source-linked Hugging Face repository assigned to Any-to-any. Its recorded task interface accepts text, image, audio, video and produces text, image, audio, video.
lmstudio-community
lmstudio-community/gemma-4-E4B-it-MLX-4bit is a source-linked Hugging Face repository assigned to Any-to-any. Its recorded task interface accepts text, image, audio, video and produces text, image, audio, video.
Qwen
Qwen/Qwen3-Omni-30B-A3B-Thinking is a source-linked Hugging Face repository assigned to Any-to-any. Its recorded task interface accepts text, image, audio, video and produces text, image, audio, video.
Qwen
Qwen/Qwen2.5-Omni-7B is a source-linked Hugging Face repository assigned to Any-to-any. Its recorded task interface accepts text, image, audio, video and produces text, image, audio, video.
Anthropic
Balanced Claude model for coding, analysis, agent workflows, and cost control