Model Comparison

DeepSeek R1 Distill Llama 70B vs GPT OSS 20B

GPT OSS 20B significantly outperforms across most benchmarks. GPT OSS 20B is 2.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 0 benchmarks, while GPT OSS 20B is better at 1 benchmark (GPQA).

GPT OSS 20B significantly outperforms across most benchmarks.

Sat Apr 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 2.0x more expensive than GPT OSS 20B ($0.05/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 2.0x more expensive than GPT OSS 20B ($0.20/1M tokens).

In conclusion, DeepSeek R1 Distill Llama 70B is more expensive than GPT OSS 20B.*

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

Lowest available price from all providers
Sat Apr 11 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
OpenAI
GPT OSS 20B
Input tokens$0.05
Output tokens$0.20
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

49.7B diff

DeepSeek R1 Distill Llama 70B has 49.7B more parameters than GPT OSS 20B, making it 237.8% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
OpenAI
GPT OSS 20B
20.9Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
20.9B
GPT OSS 20B

Context Window

Maximum input and output token capacity

GPT OSS 20B accepts 131,072 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while GPT OSS 20B is limited to 32,768 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Sat Apr 11 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while GPT OSS 20B uses Apache 2.0.

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

DeepSeek R1 Distill Llama 70B

MIT

Open weights

GPT OSS 20B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while GPT OSS 20B was released on 2025-08-05.

GPT OSS 20B is 7 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.2 years ago

GPT OSS 20B

Aug 5, 2025

8 months ago

6mo 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 Distill Llama 70B is available from DeepInfra. GPT OSS 20B is available from Novita, Fireworks, Groq, OpenAI.

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

GPT OSS 20B

novita logo
Novita
Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (71.5% vs 65.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 70B
OpenAI
GPT OSS 20B

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs GPT OSS 20B

GPT OSS 20B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is made by DeepSeek and GPT OSS 20B is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%.
GPT OSS 20B is 2.0x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. GPT OSS 20B costs $0.05/M input and $0.20/M output via novita.
DeepSeek R1 Distill Llama 70B supports 128K tokens and GPT OSS 20B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 131K), input pricing ($0.10 vs $0.05/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Llama 70B is developed by DeepSeek and GPT OSS 20B is developed by OpenAI.