Model Comparison

DeepSeek-V3 vs GPT OSS 120B

GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is 2.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3 outperforms in 0 benchmarks, while GPT OSS 120B is better at 2 benchmarks (GPQA, MMLU).

GPT OSS 120B significantly outperforms across most benchmarks.

Sat May 23 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-V3 ($0.27/1M tokens) is 3.0x more expensive than GPT OSS 120B ($0.09/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.4x more expensive than GPT OSS 120B ($0.45/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than GPT OSS 120B.*

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

Lowest available price from all providers

Sat May 23 2026 • llm-stats.com

DeepSeek-V3

Input tokens$0.27

Output tokens$1.10

Best providerDeepSeek

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-V3 has 554.2B more parameters than GPT OSS 120B, making it 474.5% larger.

DeepSeek-V3

671.0Bparameters

GPT OSS 120B

116.8Bparameters

671.0B

DeepSeek-V3

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-V3

Input131,072 tokens

Output131,072 tokens

GPT OSS 120B

Input131,072 tokens

Output131,072 tokens

Sat May 23 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), 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-V3

MIT + Model License (Commercial use allowed)

Open weights

GPT OSS 120B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while GPT OSS 120B was released on 2025-08-05.

GPT OSS 120B is 7 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

GPT OSS 120B

Aug 5, 2025

9 months ago

7mo 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-V3 is available from DeepSeek. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.

DeepSeek-V3

DeepSeek

Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

GPT OSS 120B

Deepinfra

Input Price:Input: $0.09/1MOutput Price:Output: $0.45/1M

Novita

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

OpenAI

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Fireworks

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

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-V3

View details

DeepSeek

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

GPT OSS 120B

View details

OpenAI

Less expensive input tokens

Less expensive output tokens

Higher GPQA score (80.1% vs 59.1%)

Higher MMLU score (90.0% vs 88.5%)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3	GPT OSS 120B

FAQ

Common questions about DeepSeek-V3 vs GPT OSS 120B.

Which is better, DeepSeek-V3 or GPT OSS 120B?

GPT OSS 120B significantly outperforms across most benchmarks. DeepSeek-V3 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.

How does DeepSeek-V3 compare to GPT OSS 120B in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%.

Is DeepSeek-V3 cheaper than GPT OSS 120B?

GPT OSS 120B is 3.0x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/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-V3 and GPT OSS 120B?

DeepSeek-V3 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-V3 and GPT OSS 120B?

Key differences include input pricing ($0.27 vs $0.09/M), licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and GPT OSS 120B?

DeepSeek-V3 is developed by DeepSeek and GPT OSS 120B is developed by OpenAI.