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Kimi K3.1 Pro vs Phi-4-multimodal-instruct

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 2.3. Phi-4-multimodal-instruct is 64.0x cheaper per token.

Moonshot AI · Microsoft · Updated for 2026

Which is better?

Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 2.3, ranking #5 overall.

In the 1 individual benchmarks reported for both models, Kimi K3.1 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Phi-4-multimodal-instruct is roughly 64.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Kimi K3.1 Pro

  • overall performance matters — it scores 55.5 and ranks #5 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Phi-4-multimodal-instruct

  • cost matters — it's about 64.0x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Kimi K3.1 Pro
Moonshot AI
Phi-4-multimodal-instruct
Microsoft
Core performance indexes
LLM Stats Score
55.5
#5
2.3
#348
Reasoning
54.3
#6
-0.6
#357
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$2.00 / M
$0.05 / M
Output price
$10.00 / M
$0.10 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Kimi K3.1 Pro
Phi-4-multimodal-instruct
Vision
40.5#4
1.5#199
Multimodal
40.8#2
3.4#163
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

30 reported for Kimi K3.1 Pro · 15 for Phi-4-multimodal-instruct

1 shared

Kimi K3.1 Pro outperforms in 1 benchmarks (MMMU-Pro), while Phi-4-multimodal-instruct is better at 0 benchmarks.

Kimi K3.1 Pro significantly outperforms across most benchmarks.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Phi-4-multimodal-instruct costs less

For input processing, Kimi K3.1 Pro ($2.00/1M tokens) is 40.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, Kimi K3.1 Pro ($10.00/1M tokens) is 100.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

In conclusion, Kimi K3.1 Pro is more expensive than Phi-4-multimodal-instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 30 2026 • llm-stats.com
Moonshot AI
Kimi K3.1 Pro
Input tokens$2.00
Output tokens$10.00
Best providerUnknown Organization
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Kimi K3.1 Pro accepts 1,048,576 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Kimi K3.1 Pro can generate longer responses up to 1,048,576 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.

Moonshot AI
Kimi K3.1 Pro
Input1,048,576 tokens
Output1,048,576 tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi K3.1 Pro and Phi-4-multimodal-instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Kimi K3.1 Pro

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

Release Timeline

When each model was launched

Kimi K3.1 Pro was released on 2026-10-23, while Phi-4-multimodal-instruct was released on 2025-02-01.

Kimi K3.1 Pro is 21 months newer than Phi-4-multimodal-instruct.

Kimi K3.1 Pro

Oct 23, 2026

1 weeks ago

1.7yr newer
Phi-4-multimodal-instruct

Feb 1, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Kimi K3.1 Pro's cutoff date is not specified.

We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Kimi K3.1 Pro's cutoff date.

Kimi K3.1 Pro

—

Phi-4-multimodal-instruct

Jun 2024

Provider Availability

Kimi K3.1 Pro is available from Moonshot AI. Phi-4-multimodal-instruct is available from DeepInfra.

Kimi K3.1 Pro

moonshot logo
Unknown Organization
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

Phi-4-multimodal-instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Kimi K3.1 Pro and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.

Kimi K3.1 Pro
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground

FAQ

Common questions about Kimi K3.1 Pro vs Phi-4-multimodal-instruct.

Which is better, Kimi K3.1 Pro or Phi-4-multimodal-instruct?

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 2.3. Kimi K3.1 Pro is made by Moonshot AI and Phi-4-multimodal-instruct is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi K3.1 Pro compare to Phi-4-multimodal-instruct in benchmarks?

Kimi K3.1 Pro scores BabyVision: 95.4%, GPQA: 94.2%, BenchCAD (with Python tool): 92.7%, BrowseComp: 92.1%, Chartography: 90.2%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

Is Kimi K3.1 Pro cheaper than Phi-4-multimodal-instruct?

Phi-4-multimodal-instruct is 40.0x cheaper for input tokens. Kimi K3.1 Pro costs $2.00/M input and $10.00/M output via moonshot. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra.

What are the context window sizes for Kimi K3.1 Pro and Phi-4-multimodal-instruct?

Kimi K3.1 Pro supports 1.0M tokens and Phi-4-multimodal-instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K3.1 Pro and Phi-4-multimodal-instruct?

Key differences include LLM Stats Score (55.5 vs 2.3), context window (1.0M vs 128K), input pricing ($2.00 vs $0.05/M), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K3.1 Pro and Phi-4-multimodal-instruct?

Kimi K3.1 Pro is developed by Moonshot AI and Phi-4-multimodal-instruct is developed by Microsoft.

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