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GPT OSS 120B High vs Parse

Comparing GPT OSS 120B High and Parse across benchmarks, pricing, and capabilities.

OpenAI · Cohere · Updated for 2026

Which is better?

GPT OSS 120B High and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

GPT OSS 120B High also accepts a larger context window (131,072 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 GPT OSS 120B High

  • you process long inputs — it offers a 131,072 token context window
  • you need open weights you can self-host or fine-tune

Choose Parse

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

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
131,072
8,192

Individual benchmarks

7 reported for GPT OSS 120B High · 1 for Parse

No common benchmarks found

GPT OSS 120B High and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

114.5B diff

GPT OSS 120B High has 114.5B more parameters than Parse, making it 4978.3% larger.

OpenAI
GPT OSS 120B High
116.8Bparameters
Cohere
Parse
2.3Bparameters
116.8B
GPT OSS 120B High
2.3B
Parse

Context Window

Maximum input and output token capacity

GPT OSS 120B High accepts 131,072 input tokens compared to Parse's 8,192 tokens. Only GPT OSS 120B High specifies output context (131,072 tokens).

OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas GPT OSS 120B High does not.

Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT OSS 120B High

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

GPT OSS 120B High is licensed under Apache 2.0, while Parse uses a proprietary license.

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

GPT OSS 120B High

Apache 2.0

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

GPT OSS 120B High was released on 2025-08-05, while Parse was released on 2026-08-27.

Parse is 13 months newer than GPT OSS 120B High.

GPT OSS 120B High

Aug 5, 2025

1.1 years ago

Parse

Aug 27, 2026

1 weeks ago

1.1yr 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

Provider Availability

GPT OSS 120B High is available from OpenAI, Fireworks. Parse is available from Azure, Cohere.

GPT OSS 120B High

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Parse

azure logo
Azure
cohere logo
Cohere
* 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 GPT OSS 120B High and Parse side-by-side, then vote on the output you prefer.

GPT OSS 120B High
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about GPT OSS 120B High vs Parse.

Which is better, GPT OSS 120B High or Parse?

GPT OSS 120B High (OpenAI) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT OSS 120B High compare to Parse in benchmarks?

GPT OSS 120B High scores AIME 2025: 92.5%, MMMLU: 83.8%, LiveCodeBench v6: 81.9%, GPQA: 80.9%, MMLU-Pro: 80.7%. Parse scores ParseBench: 79.2%.

What are the context window sizes for GPT OSS 120B High and Parse?

GPT OSS 120B High supports 131K tokens and Parse supports 8K 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 High and Parse?

Key differences include context window (131K vs 8K), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B High and Parse?

GPT OSS 120B High is developed by OpenAI and Parse is developed by Cohere.