Model Comparison

DeepSeek-V2.5 vs GPT OSS 120B High

Comparing DeepSeek-V2.5 and GPT OSS 120B High across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V2.5 and GPT OSS 120B High don'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

DeepSeek-V2.5 costs less

For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 1.4x more expensive than GPT OSS 120B High ($0.10/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 1.8x cheaper than GPT OSS 120B High ($0.50/1M tokens).

In conclusion, GPT OSS 120B High is more expensive than DeepSeek-V2.5.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
OpenAI
GPT OSS 120B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

119.2B diff

DeepSeek-V2.5 has 119.2B more parameters than GPT OSS 120B High, making it 102.1% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
OpenAI
GPT OSS 120B High
116.8Bparameters
236.0B
DeepSeek-V2.5
116.8B
GPT OSS 120B High

Context Window

Maximum input and output token capacity

GPT OSS 120B High accepts 131,072 input tokens compared to DeepSeek-V2.5's 8,192 tokens. GPT OSS 120B High can generate longer responses up to 131,072 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while GPT OSS 120B High uses Apache 2.0.

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

DeepSeek-V2.5

deepseek

Open weights

GPT OSS 120B High

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while GPT OSS 120B High was released on 2025-08-05.

GPT OSS 120B High is 15 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

1.9 years ago

GPT OSS 120B High

Aug 5, 2025

8 months ago

1.2yr 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-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. GPT OSS 120B High is available from OpenAI.

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

GPT OSS 120B 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?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive output tokens
OpenAI
Larger context window (131,072 tokens)
Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
OpenAI
GPT OSS 120B High

FAQ

Common questions about DeepSeek-V2.5 vs GPT OSS 120B High

DeepSeek-V2.5 (DeepSeek) and GPT OSS 120B High (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. GPT OSS 120B High scores AIME 2025: 92.5%, MMMLU: 83.8%, LiveCodeBench v6: 81.9%, GPQA: 80.9%, MMLU-Pro: 80.7%.
GPT OSS 120B High is 1.4x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. GPT OSS 120B High costs $0.10/M input and $0.50/M output via openai.
DeepSeek-V2.5 supports 8K tokens and GPT OSS 120B High supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (8K vs 131K), input pricing ($0.14 vs $0.10/M), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V2.5 is developed by DeepSeek and GPT OSS 120B High is developed by OpenAI.