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Phi-4-multimodal-instruct vs Qwen3.8 Max

Qwen3.8 Max leads the LLM Stats Score 51.9 to 2.8. Phi-4-multimodal-instruct is 39.6x cheaper per token.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Max leads the overall LLM Stats Score 51.9 to 2.8, ranking #11 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8 Max wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Phi-4-multimodal-instruct is roughly 39.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3.8 Max also accepts a larger context window (256,000 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 Phi-4-multimodal-instruct

  • cost matters — it's about 39.6x cheaper per token

Choose Qwen3.8 Max

  • overall performance matters — it scores 51.9 and ranks #11 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 256,000 token context window
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Core performance indexes
2.8
#311
51.9
#11
-0.2
#319
50.6
#11
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.05 / M
$1.65 / M
Output price
$0.10 / M
$4.95 / M
Context window
128,000
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Phi-4-multimodal-instruct
Qwen3.8 Max
1.6#172
37.7#5
3.6#141
39.4#1
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Phi-4-multimodal-instruct · 42 for Qwen3.8 Max

1 shared

Phi-4-multimodal-instruct outperforms in 0 benchmarks, while Qwen3.8 Max is better at 1 benchmark (MMMU-Pro).

Qwen3.8 Max significantly outperforms across most benchmarks.

Sat Sep 12 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, Phi-4-multimodal-instruct ($0.05/1M tokens) is 33.0x cheaper than Qwen3.8 Max ($1.65/1M tokens).

For output processing, Phi-4-multimodal-instruct ($0.10/1M tokens) is 49.5x cheaper than Qwen3.8 Max ($4.95/1M tokens).

In conclusion, Qwen3.8 Max is more expensive than Phi-4-multimodal-instruct.*

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

Lowest available price from all providers
Sat Sep 12 2026 • llm-stats.com
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input tokens$1.65
Output tokens$4.95
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

2394.4B diff

Qwen3.8 Max has 2394.4B more parameters than Phi-4-multimodal-instruct, making it 42757.1% larger.

Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
5.6B
Phi-4-multimodal-instruct
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

Qwen3.8 Max accepts 256,000 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Qwen3.8 Max can generate longer responses up to 256,000 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.

Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input256,000 tokens
Output256,000 tokens
Sat Sep 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Phi-4-multimodal-instruct and Qwen3.8 Max support multimodal inputs.

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

Phi-4-multimodal-instruct

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-4-multimodal-instruct is licensed under MIT, while Qwen3.8 Max uses Qwen3.8-Max License.

License differences may affect how you can use these models in commercial or open-source projects.

Phi-4-multimodal-instruct

MIT

Open weights

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

Phi-4-multimodal-instruct was released on 2025-02-01, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 18 months newer than Phi-4-multimodal-instruct.

Phi-4-multimodal-instruct

Feb 1, 2025

1.6 years ago

Qwen3.8 Max

Aug 2, 2026

1 months ago

1.5yr newer

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Qwen3.8 Max'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 Qwen3.8 Max's cutoff date.

Phi-4-multimodal-instruct

Jun 2024

Qwen3.8 Max

Provider Availability

Phi-4-multimodal-instruct is available from DeepInfra. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.

Phi-4-multimodal-instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M

Qwen3.8 Max

deepinfra logo
Deepinfra
Input Price:Input: $1.65/1MOutput Price:Output: $4.95/1M
fireworks logo
Fireworks
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
novita logo
Novita
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
together logo
Together
Input Price:Input: $2.50/1MOutput Price:Output: $6.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Phi-4-multimodal-instruct and Qwen3.8 Max side-by-side, then vote on the output you prefer.

Phi-4-multimodal-instruct
✓ Preferred
Qwen3.8 Max
Open in Playground

FAQ

Common questions about Phi-4-multimodal-instruct vs Qwen3.8 Max.

Which is better, Phi-4-multimodal-instruct or Qwen3.8 Max?

Qwen3.8 Max leads the LLM Stats Score 51.9 to 2.8. Phi-4-multimodal-instruct is made by Microsoft and Qwen3.8 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Phi-4-multimodal-instruct compare to Qwen3.8 Max in benchmarks?

Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

Is Phi-4-multimodal-instruct cheaper than Qwen3.8 Max?

Phi-4-multimodal-instruct is 33.0x cheaper for input tokens. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra. Qwen3.8 Max costs $1.65/M input and $4.95/M output via deepinfra.

What are the context window sizes for Phi-4-multimodal-instruct and Qwen3.8 Max?

Phi-4-multimodal-instruct supports 128K tokens and Qwen3.8 Max supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Phi-4-multimodal-instruct and Qwen3.8 Max?

Key differences include LLM Stats Score (2.8 vs 51.9), context window (128K vs 256K), input pricing ($0.05 vs $1.65/M), licensing (MIT vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-4-multimodal-instruct and Qwen3.8 Max?

Phi-4-multimodal-instruct is developed by Microsoft and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.