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DeepSeek-V4-Pro-0813 vs Phi-3.5-MoE-instruct

Comparing DeepSeek-V4-Pro-0813 and Phi-3.5-MoE-instruct across benchmarks, pricing, and capabilities.

DeepSeek · Microsoft · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and Phi-3.5-MoE-instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-0813

  • you want the most recent training data — it shipped Aug 2026

Choose Phi-3.5-MoE-instruct

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
Phi-3.5-MoE-instruct
Microsoft
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Aug 2024
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and Phi-3.5-MoE-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1540.0B diff

DeepSeek-V4-Pro-0813 has 1540.0B more parameters than Phi-3.5-MoE-instruct, making it 2566.7% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
1600.0B
DeepSeek-V4-Pro-0813
60.0B
Phi-3.5-MoE-instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V4-Pro-0813

MIT

Open weights

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Phi-3.5-MoE-instruct was released on 2024-08-23.

DeepSeek-V4-Pro-0813 is 24 months newer than Phi-3.5-MoE-instruct.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

2.0yr newer
Phi-3.5-MoE-instruct

Aug 23, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Phi-3.5-MoE-instruct.

Which is better, DeepSeek-V4-Pro-0813 or Phi-3.5-MoE-instruct?

DeepSeek-V4-Pro-0813 (DeepSeek) and Phi-3.5-MoE-instruct (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Pro-0813 compare to Phi-3.5-MoE-instruct in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and Phi-3.5-MoE-instruct?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and Phi-3.5-MoE-instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes DeepSeek-V4-Pro-0813 and Phi-3.5-MoE-instruct?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Phi-3.5-MoE-instruct is developed by Microsoft.

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