Model Comparison

DeepSeek-R1-0528 vs GPT OSS 120B

DeepSeek-R1-0528 shows notably better performance in the majority of benchmarks. GPT OSS 120B is 5.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-R1-0528 outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while GPT OSS 120B is better at 1 benchmark (CodeForces).

DeepSeek-R1-0528 shows notably better performance in the majority of benchmarks.

Sun Apr 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 120B costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 5.6x more expensive than GPT OSS 120B ($0.09/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 4.8x more expensive than GPT OSS 120B ($0.45/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than GPT OSS 120B.*

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

Lowest available price from all providers
Sun Apr 19 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
OpenAI
GPT OSS 120B
Input tokens$0.09
Output tokens$0.45
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

554.2B diff

DeepSeek-R1-0528 has 554.2B more parameters than GPT OSS 120B, making it 474.5% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
OpenAI
GPT OSS 120B
116.8Bparameters
671.0B
DeepSeek-R1-0528
116.8B
GPT OSS 120B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Sun Apr 19 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while GPT OSS 120B uses Apache 2.0.

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

DeepSeek-R1-0528

MIT

Open weights

GPT OSS 120B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while GPT OSS 120B was released on 2025-08-05.

GPT OSS 120B is 2 months newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

10 months ago

GPT OSS 120B

Aug 5, 2025

8 months ago

2mo 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

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

GPT OSS 120B

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.45/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
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
groq logo
Groq
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Higher GPQA score (81.0% vs 80.1%)
Higher Humanity's Last Exam score (17.7% vs 14.9%)
OpenAI
Less expensive input tokens
Less expensive output tokens
Higher CodeForces score (82.1% vs 64.3%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
OpenAI
GPT OSS 120B

FAQ

Common questions about DeepSeek-R1-0528 vs GPT OSS 120B

DeepSeek-R1-0528 shows notably better performance in the majority of benchmarks. DeepSeek-R1-0528 is made by DeepSeek and GPT OSS 120B is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%.
GPT OSS 120B is 5.6x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra.
DeepSeek-R1-0528 supports 131K tokens and GPT OSS 120B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.50 vs $0.09/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1-0528 is developed by DeepSeek and GPT OSS 120B is developed by OpenAI.