The AI arena is free today

Open Superagent

GPT-5.1 High vs GPT OSS 20B High

GPT-5.1 High and GPT OSS 20B High are closely matched at 35.2 and 27.6 on the LLM Stats Score. GPT OSS 20B High is 17.2x cheaper per token.

OpenAI · OpenAI · Updated for 2026

Which is better?

GPT-5.1 High and GPT OSS 20B High are closely matched on the overall LLM Stats Score at 35.2 and 27.6.

In the 2 individual benchmarks reported for both models, GPT-5.1 High wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, GPT OSS 20B High is roughly 17.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.1 High also accepts a larger context window (400,000 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 GPT-5.1 High

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you process long inputs — it offers a 400,000 token context window
  • you want the most recent training data — it shipped Nov 2025

Choose GPT OSS 20B High

  • cost matters — it's about 17.2x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
35.2
#100
27.6
#156
34.6
#96
27.7
#148
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$1.25 / M
$0.10 / M
Output price
$10.00 / M
$0.50 / M
Context window
400,000
131,072

Individual benchmarks

3 reported for GPT-5.1 High · 2 for GPT OSS 20B High

2 shared

GPT-5.1 High outperforms in 2 benchmarks (AIME 2025, GPQA), while GPT OSS 20B High is better at 0 benchmarks.

GPT-5.1 High significantly outperforms across most benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B High costs less

For input processing, GPT-5.1 High ($1.25/1M tokens) is 12.5x more expensive than GPT OSS 20B High ($0.10/1M tokens).

For output processing, GPT-5.1 High ($10.00/1M tokens) is 20.0x more expensive than GPT OSS 20B High ($0.50/1M tokens).

In conclusion, GPT-5.1 High is more expensive than GPT OSS 20B High.*

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

Lowest available price from all providers
Fri Oct 09 2026 • llm-stats.com
OpenAI
GPT-5.1 High
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
OpenAI
GPT OSS 20B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-5.1 High accepts 400,000 input tokens compared to GPT OSS 20B High's 131,072 tokens. GPT OSS 20B High can generate longer responses up to 131,072 tokens, while GPT-5.1 High is limited to 128,000 tokens.

OpenAI
GPT-5.1 High
Input400,000 tokens
Output128,000 tokens
OpenAI
GPT OSS 20B High
Input131,072 tokens
Output131,072 tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.1 High supports multimodal inputs, whereas GPT OSS 20B High does not.

GPT-5.1 High can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.1 High

Text
Images
Audio
Video

GPT OSS 20B High

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 High is licensed under a proprietary license, while GPT OSS 20B High uses Apache 2.0.

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

GPT-5.1 High

Proprietary

Closed source

GPT OSS 20B High

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 High was released on 2025-11-12, while GPT OSS 20B High was released on 2025-08-05.

GPT-5.1 High is 3 months newer than GPT OSS 20B High.

GPT-5.1 High

Nov 12, 2025

11 months ago

3mo newer
GPT OSS 20B High

Aug 5, 2025

1.2 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

Provider Availability

GPT-5.1 High is available from OpenAI. GPT OSS 20B High is available from OpenAI.

GPT-5.1 High

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

GPT OSS 20B High

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.1 High and GPT OSS 20B High side-by-side, then vote on the output you prefer.

GPT-5.1 High
✓ Preferred
GPT OSS 20B High
Open in Playground

FAQ

Common questions about GPT-5.1 High vs GPT OSS 20B High.

Which is better, GPT-5.1 High or GPT OSS 20B High?

GPT-5.1 High and GPT OSS 20B High are closely matched on the LLM Stats Score at 35.2 and 27.6. GPT-5.1 High is made by OpenAI and GPT OSS 20B High is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5.1 High compare to GPT OSS 20B High in benchmarks?

GPT-5.1 High scores AIME 2025: 99.6%, GPQA: 88.1%, LiveBench: 72.0%. GPT OSS 20B High scores AIME 2025: 98.7%, GPQA: 74.2%.

Is GPT-5.1 High cheaper than GPT OSS 20B High?

GPT OSS 20B High is 12.5x cheaper for input tokens. GPT-5.1 High costs $1.25/M input and $10.00/M output via openai. GPT OSS 20B High costs $0.10/M input and $0.50/M output via openai.

What are the context window sizes for GPT-5.1 High and GPT OSS 20B High?

GPT-5.1 High supports 400K tokens and GPT OSS 20B High supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.1 High and GPT OSS 20B High?

Key differences include LLM Stats Score (35.2 vs 27.6), context window (400K vs 131K), input pricing ($1.25 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.