Microsoft model product
Phi 4 multimodal
57B-parameter multimodal model from Microsoft that processes text, image, and audio inputs to generate text outputs.
Updated Sep 8, 2026. Default version: Phi-4-multimodal-instruct
LLMBoard Score5.4Phi-4-multimodal-instruct
Coverage0%13 benchmark families
Context window128KTokens
Official input priceN/AOfficial price unavailable
Phi 4 multimodal Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Phi 4 multimodal Benchmark Results
Benchmark scores for Phi-4-multimodal-instruct.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkInterGPS | Score48.60% | Rank01 | Participants2 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkScienceQA Visual | Score97.50% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMMBench | Score86.70% | Rank03 | Participants9 | Percentile75.00% | EvidenceC | Evaluated |
| BenchmarkPOPE | Score85.60% | Rank03 | Participants3 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkInfoVQA | Score72.70% | Rank05 | Participants10 | Percentile55.56% | EvidenceC | Evaluated |
| BenchmarkTextVQA | Score75.60% | Rank11 | Participants16 | Percentile33.33% | EvidenceC | Evaluated |
| BenchmarkBLINK | Score61.30% | Rank14 | Participants15 | Percentile7.14% | EvidenceC | Evaluated |
| BenchmarkDocVQA | Score93.20% | Rank14 | Participants28 | Percentile51.85% | EvidenceC | Evaluated |
| BenchmarkOCRBench | Score84.40% | Rank16 | Participants24 | Percentile34.78% | EvidenceC | Evaluated |
| BenchmarkVideo-MME | Score55.00% | Rank17 | Participants17 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkChartQA | Score81.40% | Rank19 | Participants26 | Percentile28.00% | EvidenceC | Evaluated |
| BenchmarkMathVista | Score62.40% | Rank25 | Participants39 | Percentile36.84% | EvidenceC | Evaluated |
| BenchmarkAI2D | Score82.30% | Rank28 | Participants34 | Percentile18.18% | EvidenceC | Evaluated |
| BenchmarkMMMU | Score55.10% | Rank53 | Participants64 | Percentile17.46% | EvidenceC | Evaluated |
| BenchmarkMMMU-Pro | Score38.50% | Rank65 | Participants69 | Percentile5.88% | EvidenceC | Evaluated |
Phi 4 multimodal Arena Results
Preference and agent-evaluation results for the default version.
No Arena results
The default version does not have a matching Arena result yet.
Phi 4 multimodal Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- From $0.07 input, $0.11 output per 1M via NanoGPT
- Tracked offerings
- 1
Sort by
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNanoGPT | Provider model IDphi-4-multimodal-instruct | Regionglobal | Input / 1M$0.07 | Output / 1M$0.11 | Context128K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Phi 4 multimodal Runtime Performance
Provider-specific output speed and catalog latency for Phi-4-multimodal-instruct. Runtime does not affect the capability score.
Sort by
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderDeepInfra | Output Speed25.00 tok/s | Catalog Latency0.50 s | Max Input128K | Max Output128K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Phi 4 multimodal Specifications
Technical details for the model's default version.
- Version
- Phi-4-multimodal-instruct
- Released
- Feb 1, 2025
- Knowledge cutoff
- Jun 1, 2024
- Parameters
- 5.6B
- Context window
- 128K
- Max output
- 128K
- Inputs
- image, text
- Outputs
- text
- Open weights
- Yes
- License
- MIT
Phi 4 multimodal Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
Sort by
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionPhi-4-multimodal-instruct | Released | LLMBoard5.44 | Parameters5.6B | Context128K | Max output128K | Open weightsYes | LicenseMIT |
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What is Phi 4 multimodal?
Key information about Phi 4 multimodal and its available data.
Phi-4-multimodal-instruct is an open multimodal foundation model from Microsoft with a 128K-token context length. It was enhanced using SFT, DPO, and RLHF for instruction following and safety.
Data as of 2026-09-08.
FAQ
Common questions about Phi 4 multimodal.
When was Phi 4 multimodal released?
Phi 4 multimodal's default version was released on Feb 1, 2025.
How much does Phi 4 multimodal cost?
No official standard PAYG price is currently available for Phi 4 multimodal. The lowest tracked third-party offer starts at $0.07 input and $0.11 output via NanoGPT.
Who created Phi 4 multimodal?
Phi 4 multimodal was created by Microsoft.
What is the context window for Phi 4 multimodal?
The default version has a 128K token context window.
Is Phi 4 multimodal open weight?
Yes. The default version is marked as open weight under MIT.
How many API providers offer Phi 4 multimodal?
1 provider offerings are linked to the default version.