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Phi-3.5-MoE-instruct vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Phi-3.5-MoE-instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (GPQA, MMLU-Pro). Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

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

Choose Phi-3.5-MoE-instruct

  • you are already invested in the Microsoft ecosystem

Choose Qwen3-235B-A22B-Instruct-2507

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025

At a glance

The differences that matter most.

Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.15 / M
Output price
— / M
$0.80 / M
Context window
262,144
Released
Aug 2024
Jul 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Phi-3.5-MoE-instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

175.0B diff

Qwen3-235B-A22B-Instruct-2507 has 175.0B more parameters than Phi-3.5-MoE-instruct, making it 291.7% larger.

Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
60.0B
Phi-3.5-MoE-instruct
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Mon Aug 24 2026 • llm-stats.com

License

Usage and distribution terms

Phi-3.5-MoE-instruct is licensed under MIT, while Qwen3-235B-A22B-Instruct-2507 uses Apache 2.0.

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

Phi-3.5-MoE-instruct

MIT

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-3.5-MoE-instruct was released on 2024-08-23, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 11 months newer than Phi-3.5-MoE-instruct.

Phi-3.5-MoE-instruct

Aug 23, 2024

2.0 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.1 years ago

11mo newer

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 Phi-3.5-MoE-instruct and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

Phi-3.5-MoE-instruct
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground

FAQ

Common questions about Phi-3.5-MoE-instruct vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Phi-3.5-MoE-instruct or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Phi-3.5-MoE-instruct is made by Microsoft and Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Phi-3.5-MoE-instruct compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for Phi-3.5-MoE-instruct and Qwen3-235B-A22B-Instruct-2507?

Phi-3.5-MoE-instruct supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Phi-3.5-MoE-instruct and Qwen3-235B-A22B-Instruct-2507?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-3.5-MoE-instruct and Qwen3-235B-A22B-Instruct-2507?

Phi-3.5-MoE-instruct is developed by Microsoft and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.