Why does Phi 4 Multimodal have no BenchLeader Index score?

The index needs at least five independent results across at least two categories; as of 25 Oct 2026 Phi 4 Multimodal has 3 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.

How much does Phi 4 Multimodal cost per 1M tokens?

As of 25 Oct 2026, Phi 4 Multimodal costs $0.080 per 1M input tokens and $0.320 per 1M output tokens, $0.140 blended (three input tokens per output token).

When was Phi 4 Multimodal released?

Microsoft released Phi 4 Multimodal on 26 Feb 2025.

Microsoft Open weights: microsoft/Phi-4-multimodal-instruct Compare with another model

Phi 4 Multimodal

Phi 4 Multimodal is a Microsoft open-weights model, released 26 Feb 2025. It is not yet ranked: 3 independent results so far, and the index needs at least five across two categories. At $0.140 per million tokens blended it is among the cheapest fifth of ranked models. Last measured 26 Feb 2025.stale: no new result in six months

Blended price: $0.140/M; $0.080 in · $0.320 out
Output speed: –
First answer: –
Context: 128k
Full answer: –
Cost per run: –
Released: 26 Feb 2025

How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.

Reasoning19
Multimodal5
Composite36

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmark	not stated	Source
GPQA Diamond (AA)not in index	31.5%#516	Artificial Analysis
Humanity's Last Exam (AA)not in index	5.0%#454	Artificial Analysis
Kagi LLM Benchmark	17.1%#132	Kagi LLM Benchmark

Multimodal

Benchmark	not stated	Source
MMMU-Pro	14.5%#282	Artificial Analysis
AudioMCnot in index	15.5%#23	Scale AI SEAL
AudioMC (text output)not in index	15.5%#16	Scale AI SEAL

Composite

Benchmark	not stated	Source
AA Intelligence Index v4.3.2	5.8#558	Artificial Analysis

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

Workload	Tokens in / out	Cost	With caching	Time
Chat reply	400 / 300	$0.0001	–	–
Summarize a 30-page report	12,000 / 600	$0.0012	–	–
Code edit	6,000 / 1,500	$0.0010	–	–
Agentic coding session	60,000 / 4,000	$0.0061	–	–
Structured extraction	2,000 / 200	$0.0002	–	–

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Questions people ask

Why does Phi 4 Multimodal have no BenchLeader Index score?: The index needs at least five independent results across at least two categories; as of 25 Oct 2026 Phi 4 Multimodal has 3 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
How much does Phi 4 Multimodal cost per 1M tokens?: As of 25 Oct 2026, Phi 4 Multimodal costs $0.080 per 1M input tokens and $0.320 per 1M output tokens, $0.140 blended (three input tokens per output token).
When was Phi 4 Multimodal released?: Microsoft released Phi 4 Multimodal on 26 Feb 2025.

Data as of 25 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Phi 4 Multimodal: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/phi-4-multimodal.