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DeepSeek-V4.1-Flash-1017 vs GPT OSS 120B High

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 25.1. GPT OSS 120B High is 2.6x cheaper per token.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 25.1, ranking #15 overall.

On price, GPT OSS 120B High is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose GPT OSS 120B High

  • cost matters — it's about 2.6x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
GPT OSS 120B High
OpenAI
Core performance indexes
LLM Stats Score
51.0
#15
25.1
#181
Reasoning
48.6
#18
25.4
#173
Agents
38.6
#9
3.0
#183
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.10 / M
Output price
$1.20 / M
$0.50 / M
Context window
1,048,576
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4.1-Flash-1017
GPT OSS 120B High
Math
31.8#67
24.1#129
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 7 for GPT OSS 120B High

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and GPT OSS 120B Highdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT OSS 120B High costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 3.0x more expensive than GPT OSS 120B High ($0.10/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 2.4x more expensive than GPT OSS 120B High ($0.50/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than GPT OSS 120B High.*

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

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
OpenAI
GPT OSS 120B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Notice missing or incorrect data?

Model Size

Parameter count comparison

646.4B diff

DeepSeek-V4.1-Flash-1017 has 646.4B more parameters than GPT OSS 120B High, making it 553.4% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
OpenAI
GPT OSS 120B High
116.8Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
116.8B
GPT OSS 120B High

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to GPT OSS 120B High's 131,072 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while GPT OSS 120B High is limited to 131,072 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas GPT OSS 120B High does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

GPT OSS 120B High

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, 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-V4.1-Flash-1017

MIT

Open weights

GPT OSS 120B High

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while GPT OSS 120B High was released on 2025-08-05.

DeepSeek-V4.1-Flash-1017 is 15 months newer than GPT OSS 120B High.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1.2yr newer
GPT OSS 120B High

Aug 5, 2025

1.2 years ago

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-V4.1-Flash-1017 is available from DeepSeek. GPT OSS 120B High is available from OpenAI, Fireworks.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

GPT OSS 120B High

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and GPT OSS 120B High side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
GPT OSS 120B High
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs GPT OSS 120B High.

Which is better, DeepSeek-V4.1-Flash-1017 or GPT OSS 120B High?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 25.1. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and GPT OSS 120B High is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash-1017 compare to GPT OSS 120B High in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. GPT OSS 120B High scores AIME 2025: 92.5%, MMMLU: 83.8%, LiveCodeBench v6: 81.9%, GPQA: 80.9%, MMLU-Pro: 80.7%.

Is DeepSeek-V4.1-Flash-1017 cheaper than GPT OSS 120B High?

GPT OSS 120B High is 3.0x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. GPT OSS 120B High costs $0.10/M input and $0.50/M output via openai.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and GPT OSS 120B High?

DeepSeek-V4.1-Flash-1017 supports 1.0M 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.

What are the main differences between DeepSeek-V4.1-Flash-1017 and GPT OSS 120B High?

Key differences include LLM Stats Score (51.0 vs 25.1), context window (1.0M vs 131K), input pricing ($0.30 vs $0.10/M), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and GPT OSS 120B High?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and GPT OSS 120B High is developed by OpenAI.

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