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GPT OSS 120B vs Phi-3.5-MoE-instruct

GPT OSS 120B leads the LLM Stats Score 28.9 to 2.0.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT OSS 120B leads the overall LLM Stats Score 28.9 to 2.0, ranking #130 overall.

In the 2 individual benchmarks reported for both models, GPT OSS 120B wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT OSS 120B

  • overall performance matters — it scores 28.9 and ranks #130 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Aug 2025

Choose Phi-3.5-MoE-instruct

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Core performance indexes
28.9
#130
2.0
#316
23.1
#164
1.5
#309
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.04 / M
— / M
Output price
$0.17 / M
— / M
Context window
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT OSS 120B
Phi-3.5-MoE-instruct
23.4#129
4.3#283
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for GPT OSS 120B · 31 for Phi-3.5-MoE-instruct

2 shared

GPT OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while Phi-3.5-MoE-instruct is better at 0 benchmarks.

GPT OSS 120B significantly outperforms across most benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

56.8B diff

GPT OSS 120B has 56.8B more parameters than Phi-3.5-MoE-instruct, making it 94.7% larger.

OpenAI
GPT OSS 120B
116.8Bparameters
Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
116.8B
GPT OSS 120B
60.0B
Phi-3.5-MoE-instruct

Context Window

Maximum input and output token capacity

Only GPT OSS 120B specifies input context (131,072 tokens). Only GPT OSS 120B specifies output context (131,072 tokens).

OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Thu Sep 10 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 120B is licensed under Apache 2.0, while Phi-3.5-MoE-instruct uses MIT.

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

GPT OSS 120B

Apache 2.0

Open weights

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while Phi-3.5-MoE-instruct was released on 2024-08-23.

GPT OSS 120B is 12 months newer than Phi-3.5-MoE-instruct.

GPT OSS 120B

Aug 5, 2025

1.1 years ago

11mo 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 GPT OSS 120B and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

GPT OSS 120B
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about GPT OSS 120B vs Phi-3.5-MoE-instruct.

Which is better, GPT OSS 120B or Phi-3.5-MoE-instruct?

GPT OSS 120B leads the LLM Stats Score 28.9 to 2.0. GPT OSS 120B is made by OpenAI and Phi-3.5-MoE-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 GPT OSS 120B compare to Phi-3.5-MoE-instruct in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. 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 GPT OSS 120B and Phi-3.5-MoE-instruct?

GPT OSS 120B supports 131K 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.

What are the main differences between GPT OSS 120B and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (28.9 vs 2.0), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and Phi-3.5-MoE-instruct?

GPT OSS 120B is developed by OpenAI and Phi-3.5-MoE-instruct is developed by Microsoft.