DeepSeek-V4-Flash-Max vs GPT OSS 120B
DeepSeek-V4-Flash-Max leads the LLM Stats Score 39.1 to 28.9. GPT OSS 120B is 1.6x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Max leads the overall LLM Stats Score 39.1 to 28.9, ranking #59 overall.
In the 3 individual benchmarks reported for both models, DeepSeek-V4-Flash-Max wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, GPT OSS 120B is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Max 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-Flash-Max
- overall performance matters — it scores 39.1 and ranks #59 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
Choose GPT OSS 120B
- cost matters — it's about 1.6x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for DeepSeek-V4-Flash-Max · 7 for GPT OSS 120B
DeepSeek-V4-Flash-Max outperforms in 3 benchmarks (CodeForces, GPQA, Humanity's Last Exam), while GPT OSS 120B is better at 0 benchmarks.
DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Max ($0.09/1M tokens) is 2.4x more expensive than GPT OSS 120B ($0.04/1M tokens).
For output processing, DeepSeek-V4-Flash-Max ($0.18/1M tokens) is 1.1x more expensive than GPT OSS 120B ($0.17/1M tokens).
In conclusion, DeepSeek-V4-Flash-Max is more expensive than GPT OSS 120B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Flash-Max has 167.2B more parameters than GPT OSS 120B, making it 143.2% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Max accepts 1,048,576 input tokens compared to GPT OSS 120B's 131,072 tokens. DeepSeek-V4-Flash-Max can generate longer responses up to 1,048,576 tokens, while GPT OSS 120B is limited to 131,072 tokens.
License
Usage and distribution terms
DeepSeek-V4-Flash-Max 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.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Max was released on 2026-04-23, while GPT OSS 120B was released on 2025-08-05.
DeepSeek-V4-Flash-Max is 9 months newer than GPT OSS 120B.
Apr 23, 2026
4 months ago
8mo newerAug 5, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-Max is available from DeepInfra, DeepSeek. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.
DeepSeek-V4-Flash-Max
GPT OSS 120B
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Max and GPT OSS 120B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Max vs GPT OSS 120B.