Model Comparison

DeepSeek-R1 vs GPT OSS 120BWhich is better in 2026?

Comparing DeepSeek-R1 and GPT OSS 120B across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-R1 vs GPT OSS 120B — which is better?

DeepSeek-R1 (by DeepSeek) and GPT OSS 120B (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, GPT OSS 120B is roughly 5.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose DeepSeek-R1 if…

  • you want predictable pricing at $0.55/M input and $2.19/M output

Choose GPT OSS 120B if…

  • cost matters — it's about 5.3x cheaper per token
  • you want the most recent training data — it shipped Aug 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and GPT OSS 120Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 120B costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 6.1x more expensive than GPT OSS 120B ($0.09/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 4.9x more expensive than GPT OSS 120B ($0.45/1M tokens).

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

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

Lowest available price from all providers
Wed Jun 24 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
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 has 554.2B more parameters than GPT OSS 120B, making it 474.5% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
OpenAI
GPT OSS 120B
116.8Bparameters
671.0B
DeepSeek-R1
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
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Wed Jun 24 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 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

MIT

Open weights

GPT OSS 120B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while GPT OSS 120B was released on 2025-08-05.

GPT OSS 120B is 7 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.4 years ago

GPT OSS 120B

Aug 5, 2025

10 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 is available from DeepSeek, DeepInfra, Together, Fireworks. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek

No standout differentiators in the data we have for this pair.

OpenAI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

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

Which is better, DeepSeek-R1 or GPT OSS 120B?

DeepSeek-R1 (DeepSeek) and GPT OSS 120B (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-R1 compare to GPT OSS 120B in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%.

Is DeepSeek-R1 cheaper than GPT OSS 120B?

GPT OSS 120B is 6.1x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra.

What are the context window sizes for DeepSeek-R1 and GPT OSS 120B?

DeepSeek-R1 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.

What are the main differences between DeepSeek-R1 and GPT OSS 120B?

Key differences include input pricing ($0.55 vs $0.09/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1 and GPT OSS 120B?

DeepSeek-R1 is developed by DeepSeek and GPT OSS 120B is developed by OpenAI.

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