Data as of October 29, 2026 · How the score is built
Released Feb 26, 2025N/A contextMicrosoft model documentation
Phi-4 Multimodal Instruct
Decision readingPhi-4 Multimodal Instruct is tracked, but not publicly ranked yet. Published speech or voice results from VoiceBench appear below. They do not produce a weighted text-model score.
Released Feb 26, 2025 — see all recent releases
Voice benchmark evidence
VoiceBench is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not publishedMicrosoft model documentation
- Context window
- N/A
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Published weights or implementation resources are linked from the model card.
- Cloud regions
- Not tracked yet
- Lifecycle
- Established
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordMicrosoft model documentation
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track Phi-4 Multimodal Instruct, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.
Phi-4 Multimodal Instruct is a open weight model with a N/A context window. No explicit reasoning mode is documented in this profile.
Published weights or implementation resources are linked from the model card.
Phi-4 Multimodal Instruct is tracked because it appears in voicebench. Voice-protocol results remain separate from BenchLM's weighted text-model ranking.
Speech or voice evidence appears above; text-model benchmark coverage remains empty.
Last updated October 29, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersQuestions
How does Phi-4 Multimodal Instruct perform overall in AI benchmarks?
Phi-4 Multimodal Instruct has published speech or voice results in VoiceBench. Those results remain separate from the weighted text-model ranking, so this profile does not assign a BenchLM score or overall rank. Use the linked evaluation's metric and run conditions to compare speech systems.
Is Phi-4 Multimodal Instruct open source?
Phi-4 Multimodal Instruct is an open-weight model from Microsoft. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Does Phi-4 Multimodal Instruct have full benchmark coverage on BenchLM?
No. Phi-4 Multimodal Instruct's speech or voice results appear in VoiceBench, but it has no published text-model benchmark rows. The voice evaluation does not fill the text-model coverage slots or produce an overall rank. Missing text coverage is not treated as a zero score.
What is the context window size of Phi-4 Multimodal Instruct?
Phi-4 Multimodal Instruct has a reported context window of N/A in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.